NeuroIS Literature

On this page we provide a starting point for the NeuroIS literature. If you think something is missing, please let us know by sending us an e-mail.

Adam, M. T. P., Gamer, M., Krämer, J., & Weinhardt, C. (2011). Measuring emotions in electronic markets. ICIS 2011 Proceedings.

Adam, M. T. P., Gimpel, H., Maedche, A., & Riedl, R. (2017). Design blueprint for stress-sensitive adaptive enterprise systems. Business & Information Systems Engineering, 59(4), 277–291.

Adam, M. T. P., Gregor, S., Hevner, A., & Morana, S. (2021). Design science research modes in human-computer interaction projects. AIS Transactions on Human-Computer Interaction, 13(1), 1–11.

Adam, M. T. P., Krämer, J., & Weinhardt, C. (2012). Excitement up! Price down! Measuring emotions in Dutch auctions. International Journal of Electronic Commerce, 17(2), 7–40.

Almeida, A. T. de, & Roselli, L. R. P. (2017). Visualization for decision support in FITradeoff method: Exploring its evaluation with cognitive neuroscience. In I. Linden, S. Liu, & C. Colot (Eds.): Decision Support Systems VII. Data, Information and Knowledge Visualization in Decision Support Systems Third International Conference, ICDSST 2017, Namur, Belgium, May 29-31, 2017, Proceedings (Vol. 282, pp. 61–73). Cham: Springer.

Anderson, B. B., Eargle, D., Jenkins, J. L., Kirwan, C. B., & Vance, A. O. (2015). The impact of technostress on users’ responses to security warnings: A NeuroIS study. AMCIS 2015 Proceedings.

Anderson, B. B., Vance, A. O., & Eargle, D. (2013). Is your susceptibility to phishing dependent on your memory? WISP 2012 Proceedings, 40.

Anderson, B. B., Vance, A. O., Kirwan, C. B., Eargle, D., & Howard, S. (2014). Users aren’t (necessarily) lazy: Using NeuroIS to explain habituation to security warnings. ICIS 2014 Proceedings.

Anderson, B. B., Vance, A. O., Kirwan, C. B., Jenkins, J. L., & Eargle, D. (2016). From warning to wallpaper: Why the brain habituates to security warnings and what can be done about it. Journal of Management Information Systems, 33(3), 713–743.

Anderson, B. B., Jenkins, J. L., Vance, A., Kirwan, C. B., & Eargle, D. (2016). Your memory is working against you: How eye tracking and memory explain habituation to security warnings. Decision Support Systems. Advance online publication.

Anderson, B., Vance, A., Kirwan, C. B., Eargle, D., & Jenkins, J. L. (2016). How users perceive and respond to security messages: A NeuroIS research agenda and empirical study. European Journal of Information Systems, 25(4), 364–390.

Astor, P. J., Adam, M. T. P., Jerčić, P., Schaaff, K., & Weinhardt, C. (2013). Integrating biosignals into information systems: A NeuroIS tool for improving emotion regulation. Journal of Management Information Systems, 30(3), 247–278.

Bačić, D. (2017). Understanding business dashboard design user impact: Triangulation approach using eyetracking, facial expression, galvanic skin response and EEG sensors. AMCIS 2017 Proceedings.

Bačić, D., & Henry, R. M. (2018). Task-representation fit’s impact on cognitive effort in the context of decision timeliness and accuracy: A cognitive fit perspective. AIS Transactions on Human-Computer Interaction, 10(3), 164–187.

Bahr, G. S., & Ford, R. A. (2011). How and why pop-ups don’t work: Pop-Up prompted eye movements, user affect and decision making. Computers in Human Behavior, 27(2), 776–783.

Bailey, B. P., & Iqbal, S. T. (2008). Understanding changes in mental workload during execution of goaldirected tasks and its application for interruption management. ACM Transactions on Computer-Human Interaction, 14(4), 1–28.

Bansal, G., & Nies, E. (2018). Shipping and return-shipping costs do not cost the same: The role of gender and product price in online buying. MWAIS 2018 Proceedings.

Barral, O., Kosunen, I., & Jacucci, G. (2018). No need to laugh out Loud: Predicting humor appraisal of comic strips based on physiological signals in a realistic environment. ACM Transactions on Computer-Human Interaction, 24(6), 1–29.

Barros, V., & Ramos, I. (2015). Using social media as organizational memory consolidation mechanism according to attention based view theory. AMCIS 2015 Proceedings.

Baskerville, R., Kaul, M., & Storey, V. C. (2017). Establishing reliability in design science research. ICIS 2017 Proceedings.

Baumgart, T. L., Klesel, M., Oschinsky, F. M., & Niehaves, B. (2020). Creativity loading – Please wait! Investigating the relationship between interruption, mind wandering and creativity. Hawaii International Conference on System Sciences 2020.

Baumgartl, H., & Buettner, R. (2020). Development of a highly precise place recognition module for effective human-robot interactions in changing lighting and viewpoint conditions. Hawaii International Conference on System Sciences 2020.

Baumgartl, H., Dikici, F., Sauter, D., & Buettner, R. (2020). Detecting antisocial personality disorder using a novel machine learning algorithm based on electroencephalographic data. PACIS 2020 Proceedings.

Baumgartl, H., Fezer, E., & Buettner, R. (2020). Two-Level classification of chronic stress using machine learning on resting-state EEG recordings. AMCIS 2020 Proceedings.

Becker, J., vom Brocke, J., Heddier, M., & Seidel, S. (2015). In search of information systems (grand) challenges – A community of inquirers perspective. Business & Information Systems Engineering, 57(6), 377–390.

Benbasat, I. (2010). HCI research: Future challenges and directions. AIS Transactions on Human-Computer Interaction, 2(2), 16–21.

Benbasat, I., Dimoka, A., Pavlou, P. A., & Qiu, L. (2010). Incorporating social presence in the design of the anthropomorphic interface of recommendation agents: Insights from an fMRI study. ICIS 2010 Proceedings, 228.

Benke, I., Heinzl, A., & Maedche, A. (2021). The relationship of collaboration technologies and cognition and affect. Hawaii International Conference on System Sciences 2021.

Bera, P. (2014). Do distracting dashboards matter? Evidence from an eye tracking study. In S. Wrycza (Ed.), Information Systems: Education, Applications, Research: 7th SIGSAND/PLAIS EuroSymposium 2014, Gdańsk, Poland, September 25, 2014. Proceedings (Vol. 193, pp. 65–74). Cham: Springer

Bera, P. (2016). How colors in business dashboards affect users’ decision making. Communications of the ACM, 59(4), 50–57.

Bera, P., Soffer, P., & Parsons, J. (2019). Using eye tracking to expose cognitive processes in understanding conceptual models. MIS Quarterly, 43(4), 1105–1126.

Bhandari, U., & Chang, K. T. T. (2014). Role of emotions and aesthetics in ICT usage for underserved communities: A NeuroIS investigation. ICIS 2014 Proceedings.

Bhandari, U., Chua, W. Y., Chang, K. T. T., & Neben, T. (2015). Follow your heart or mind? Measuring neurophysiological responses and subjective judgments for visual aesthetics. AMCIS 2015 Proceedings.

Bina, S., Graue, W., Jones, D. R., Kaskela, T., & Walden, E. A. (2017). Discovery of the optimal visualization for representing three dimensions of data using functional magnetic resonance imaging. ICIS 2017 Proceedings.

Brendel, A. B., Greulich, R. S., Niederman, F., & Trang, S. T.-N. (2020). Towards a greater diversity of replication studies. AIS Transactions on Replication Research, 6(20), 1–15.

Browne, G. J., & Walden, E. A. (2020). Is there a genetic basis for information search propensity? A genotyping experiment. MIS Quarterly, 44(2), 747–770.

Bruckes, M., Westmattelmann, D., Oldeweme, A., & Schewe, G. (2019). Determinants and barriers of adopting robo-advisory services. ICIS 2019 Proceedings.

Budu, J., Akakpol, P. K., & Boateng, R. (2018). Completed research: Preliminary insights into the impact of digital platforms for music. SAIS 2018 Proceedings.

Buettner, R. (2015). Towards a new personal information technology acceptance model: Conceptualization and empirical evidence from a bring your own device dataset. AMCIS 2015 Proceedings.

Buettner, R. (2016a). A user’s cognitive workload perspective in negotiation support systems: an eye-tracking experiment. PACIS 2016 Proceedings.

Buettner, R. (2016b). Innovative personality-based digital services. PACIS 2016 Proceedings.

Buettner, R. (2016c). Personality as a predictor of business social media usage: An empirical investigation of Xing usage patterns. PACIS 2016 Proceedings.

Buettner, R. (2017). Asking both the user’s brain and its owner using subjective and objective psychophysiological NeuroIS instruments. ICIS 2017 Proceedings.

Buettner, R. (2018). Robust user identification based on facial action units unaffected by users’ emotions. Hawaii International Conference on System Sciences 2018.

Buettner, R., & Baumgartl, H. (2019). A highly effective deep learning based escape route recognition module for autonomous robots in crisis and emergency situations. Hawaii International Conference on System Sciences 2019.

Buettner, R., Beil, D., Scholtz, S., & Djemai, A. (2020). Development of a machine learning based algorithm to accurately detect schizophrenia based on one-minute EEG recordings. Hawaii International Conference on System Sciences 2020.

Buettner, R., Buechele, M., Grimmeisen, B., & Ulrich, P. (2021). Machine learning based diagnostics of developmental coordination disorder using electroencephalographic data. Hawaii International Conference on System Sciences 2021.

Buettner, R., Frick, J., & Rieg, T. (2019). High-performance detection of epilepsy in seizure-free EEG recordings: A novel machine learning approach using very specific epileptic EEG sub-bands. ICIS 2019 Proceedings.

Buettner, R., Sauer, S., Maier, C., & Eckhardt, A. (2015). Towards Ex Ante prediction of user performance: A novel NeuroIS methodology based on real-time measurement of mental effort. In T. X. Bui & R. H. Sprague (Eds.), Proceedings of HICSS 2015 (pp. 533–542). Piscataway, NJ: IEEE.

Buettner, R., Sauer, S., Maier, C., & Eckhardt, A. (2018). Real-time prediction of user performance based on pupillary assessment via eye-tracking. AIS Transactions on Human-Computer Interaction, 10(1), 26–56.

Califf, C., & Martin, T. (2016). Rethinking technostress: A transactional approach through affordances. AMCIS 2016 Proceedings.

Carroll, N. (2021). Augmented intelligence: An actor-network theory perspective. ECIS 2021 Proceedings.

Carter, M., Petter, S., & Randolph, A. B. (2015). Desperately seeking information in information systems research. ICIS 2015 Proceedings.

Caya, O., Brunelle, É., Léger, P.-M., & Grebot, T. (2012). An empirical study on emotions, knowledge management processes, and performance within integrated business process teams. In R. H. Sprague (Ed.), Proceedings of HICSS 2012 (pp. 514–524). Piscataway, NJ: IEEE.

Chen, D.-N., & Jhang, Z.-L. (2017). A personal book recommendation system based on brainwave analysis. SIGHCI 2017 Proceedings.

Chen, S., & Epps, J. (2014). Using task-induced pupil diameter and blink rate to infer cognitive load. Human– Computer Interaction, 29(4), 390–413

Chung, R., & Galletta, D. F. (2013). Genetic basis of behavioral security. SIGHCI 2013 Proceedings, 9.

Cipresso, P., Serino, S., Gaggioli, A., Albani, G., Mauro, A., & Riva, G. (2015). Psychometric modeling of the pervasive use of Facebook through psychophysiological measures: Stress or optimal experience? Computers in Human Behavior, 49, 576–587.

Clayton, R. B., Leshner, G., & Almond, A. (2015). The extended iSelf: The impact of iPhone separation on cognition, emotion, and physiology. Journal of Computer-Mediated Communication, 20(2), 119–135.

Cole, M. J., Hendahewa, C., Belkin, N. J., & Shah, C. (2015). User activity patterns during information search.ACM Transactions on Information Systems, 33(1), 1–39.

Collier, R., & Randolph, A. B. (2015). Wearable technologies for healthcare innovation. SAIS 2015 Proceedings.

Comesaña, M., Soares, A. P., Perea, M., Piñeiro, A. P., Fraga, I., & Pinheiro, A. (2013). ERP correlates of masked affective priming with emoticons. Computers in Human Behavior, 29(3), 588–595.

Conrad, C. D., & Bliemel, M. (2016). Psychophysiological measures of cognitive absorption and cognitive load in e-learning applications. ICIS 2016 Proceedings.

Cremer, S. (2017). Predicting popularity of hedonic digital content via artificial intelligence imagery analysis of thumbnails. PACIS 2017 Proceedings.

Crk, I., Kluthe, T., & Stefik, A. (2016). Understanding programming expertise: An empirical study of phasic brain wave changes. ACM Transactions on Computer-Human Interaction, 23(1), 1–29.

Cyr, D., Head, M., Larios, H., & Pan, B. (2009). Exploring human images in website design: A multi method approach. MIS Quarterly, 33(3), 539–566.

Darban, M. (2015). Emotional foundations of individual’s perception: The case of technology radicalness. ICIS 2015 Proceedings.

Davis, F. D., Riedl, R., & Hevner, A. (2014). Towards a NeuroIS research methodology: Intensifying the discussion on methods, tools, and measurement. Journal of the Association for Information Systems, 15(10), I–XXXV.

Davis, F. D., Riedl, R., Brocke, J. vom, Léger, P.-M., & Randolph, A. B. (2015). Information systems and neuroscience: Gmunden Retreat on NeuroIS 2015 (Vol. 10). Springer, Cham.

Davis, F. D., Riedl, R., vom Brocke, J., Léger, P.-M., & Randolph, A. B. (2017). Information systems and neuroscience: Gmunden Retreat on NeuroIS 2016 (Vol. 16). Springer, Cham.

Davis, F. D., Riedl, R., vom Brocke, J., Léger, P.-M., & Randolph, A. B. (2018). Information systems and neuroscience: Gmunden Retreat on NeuroIS 2017 (Vol. 25). Springer, Cham.

Davis, F. D., Riedl, R., vom Brocke, J., Léger, P.-M., & Randolph, A. B. (2019). Information systems and neuroscience: NeuroIS Retreat 2018 (Vol. 29). Springer, Cham.

Davis, F. D., Riedl, R., vom Brocke, J., Léger, P.-M., Randolph, A. B., & Fischer, T. (2020). Information systems and neuroscience: NeuroIS Retreat 2019 (Vol. 32). Springer, Cham.

Davis, F. D., Riedl, R., vom Brocke, J., Léger, P.-M., Randolph, A. B., & Fischer, T. (2020). Information systems and neuroscience: NeuroIS Retreat 2020 (Vol. 43). Springer, Cham.

Davis, F. D., Riedl, R., vom Brocke, J., Léger, P.-M., Randolph, A. B., & Müller-Putz, G. R. (2021). Information systems and neuroscience: NeuroIS Retreat 2021 (Vol. 52). Springer, Cham.

Degirmenci, K. (2017). Serious games for eco-effective transformations. ICIS 2017 Proceedings.Deng, Q., Wang, Y., & Ji, S. (2017). Design science research in information systems: A systematic literature review 2001-2015. CONF-IRM 2017 Proceedings.

Deng, W., Huang, X., Yuan, H., Ma, J., & Wang, G. (2020). Analysis of topics, theories, and methods of information systems research in the past two decades: A knowledge graph approach. PACIS 2020 Proceedings.

Dennis, A. R., Bhagwatwar, A., & Minas, R. K. (2013). Play for performance: Using computer word games to improve test-taking performance. Journal of Information Systems Education, 24(3), 223.

Derrick, D., Jenkins, J. L., & Nunamaker, J. (2011). Design principles for special purpose, embodied, conversational intelligence with environmental sensors (SPECIES) agents. AIS Transactions on Human-Computer Interaction, 3(2), 62–81.

Dimoka, A. (2009). NeuroIS: How to conduct a neuroimaging study to inform information systems research. AMCIS 2009 Proceedings, 502.

Dimoka, A. (2010). What does the brain tell us about trust and distrust? Evidence from a functional neuroimaging study. MIS Quarterly, 34(2), 373–396.

Dimoka, A. (2010a). What does the brain tell us about trust and distrust? Evidence from a functional neuroimaging study. MIS Quarterly, 34(2), 373–396.

Dimoka, A. (2010b). Tutorial on the use of functional magnetic resonance imaging (fMRI) in IS research. AMCIS 2010 Proceedings, 196.

Dimoka, A. (2012). How to conduct a functional magnetic resonance (fMRI) study in social science research. MIS Quarterly, 36(3), 811–840.

Dimoka, A., & Davis, F. D. (2008). Where does TAM reside in the brain? The neural mechanisms underlying technology adoption. ICIS 2008 Proceedings, 169.

Dimoka, A., Bagozzi, R., Banker, R. D., Brynjolfsson, E., Davis, F. D., Gupta, A., & Riedl, R. (2009). NeuroIS: Hype or hope? ICIS 2009 Proceedings, 133.

Dimoka, A., Banker, R. D., Benbasat, I., Davis, F. D., Dennis, A. R., Gefen, D., Gupta, A., Ischebeck, A., Kenning, P., Pavlou, P. A., Müller-Putz, G. R., Riedl, R., vom Brocke, J., & Weber, B. (2012). On the use of neurophysiological tools in IS research: Developing a research agenda for NeuroIS. MIS Quarterly, 36(3), 679–702.

Dimoka, A., Benbasat, I., Lim, K., Straub, D. W., & Walden, E. A. (2010). NeuroIS: Challenges and solutions. ICIS 2010 Proceedings, 201.

Dimoka, A., Pavlou, P. A., & Davis, F. D. (2007). Neuro IS: The potential of cognitive neuroscience for information systems research. ICIS 2007 Proceedings, 122.

Dimoka, A., Pavlou, P. A., & Davis, F. D. (2011). Research commentary-NeuroIS: The potential of cognitive neuroscience for information systems research. Information Systems Research, 22(4), 687–702.

Dimoka, A., Pavlou, P. A., Benbasat, I., & Qiu, L. (2010). 14P. application of neuroimaging methods in IS research: An fMRI study of online recommendation agents. CONF-IRM 2010 Proceeding, 4.

Djamasbi, S. (2014). Eye tracking and web experience. AIS Transactions on Human-Computer Interaction, 6(2), 37–54.

Djamasbi, S., Hall-Phillips, A., & Yang, R. (2013). An examination of ads and viewing behavior: An eye tracking study on desktop and mobile devices. AMCIS 2013 Proceedings.

Djamasbi, S., Mehta, D., & Samani, A. (2012). Eye movements, perceptions, and performance. AMCIS 2012 Proceedings.

Djamasbi, S., Siegel, M., & Tullis, T. (2012). Designing noticeable bricklets by tracking users’ eye movements. In R. H. Sprague (Ed.), Proceedings of HICSS 2012 (pp. 525–532). Piscataway, NJ: IEEE.

Djamasbi, S., Siegel, M., & Tullis, T. (2012). Faces and viewing behavior: An exploratory investigation. AIS Transactions on Human-Computer Interaction, 4(3), 190–211.

Djamasbi, S., Siegel, M., & Tullis, T. (2014). Can fixation on main images predict visual appeal of homepages? In T. X. Bui & R. H. Sprague (Eds.), Proceedings of HICSS 2014 (pp. 371–375). Piscataway, NJ: IEEE.

Djamasbi, S., Siegel, M., Skorinko, J., & Tullis, T. (2011). Online viewing and aesthetic preferences of Generation Y and the Baby Boom Generation: Testing user web site experience through eye tracking. International Journal of Electronic Commerce, 15(4), 121–157.

Djamasbi, S., Siegel, M., Tullis, T., & Dai, R. (2010). Efficiency, trust, and visual appeal: Usability testing through eye tracking. In R. H. Sprague (Ed.), Proceedings of HICSS 2010 (pp. 1–10). Piscataway, NJ: IEEE.

Dogusoy-Taylan, B., & Cagiltay, K. (2014). Cognitive analysis of experts’ and novices’ concept mapping processes: An eye tracking study. Computers in Human Behavior, 36, 82–93.

Dumont, L., El Mouderrib, S., Théoret, H., Sénécal, S., & Léger, P.-M. (2018). Non-invasive brain stimulation as a set of research tools in NeuroIS: Opportunities and methodological considerations. Communications of the Association for Information Systems, 43(5), 78–100.

Dunaway, M. M., & Steelman, Z. (2013). IS cognitive load: An examination of measurement convergence. SIGHCI 2013 Proceedings, 10.Durner, V. (2016). A picture vs. 1,000 words: Threat visualization and verbalization in information security fear appeals. WISP 2016 Proceedings, 5.

Eargle, D., Galletta, D. F., & Jenkins, J. L. (2016). What’s it worth to you? Applying risk tradeoff paradigms to explain user interactions with interruptive security messages. WISP 2016 Proceedings.

Eargle, D., Galletta, D. F., Kirwan, C. B., Vance, A. O., & Jenkins, J. L. (2016). Integrating facial cues of threat into security warnings–An fMRI and field study. AMCIS 2016 Proceedings, 22.

Eckhardt, A., Maier, C., & Buettner, R. (2012). The influence of pressure to perform and experience on changing perceptions and user performance: A multi-method experimental analysis. ICIS 2012 Proceedings.

Eckhardt, A., Maier, C., Hsieh, J. J. P.-A., Chuk, T., Chan, A., Hsiao, J., & Buettner, R. (2013). Objective measures of IS usage behavior under conditions of experience and pressure using eye fixation data. ICIS 2013 Proceedings.

Etco, M., Sénécal, S., Léger, P.-M., & Fredette, M. (2017). The influence of online search behavior on consumers’ decision-making heuristics. Journal of Computer Information Systems, 57(4), 344–352.

Fadel, K. J., Meservy, T. O., & Jensen, M. L. (2015). Exploring knowledge filtering processes in electronic networks of practice. Journal of Management Information Systems, 31(4), 158–181.

Fadel, K. J., Meservy, T. O., & Kirwan, C. B. (2018). Expectation disconfirmation in ENP information filtering: An fMRI experiment. AMCIS 2018 Proceedings.

Fehrenbacher, D. D. (2017). Affect infusion and detection through faces in computer-mediated knowledge-sharing decisions. Journal of the Association for Information Systems, 18(10), 703–726.

Fehrenbacher, D. D., & Djamasbi, S. (2017). Information systems and task demand: An exploratory pupillometry study of computerized decision making. Decision Support Systems, 97, 1–11.

Fehrenbacher, D. D., & Smith, S. (2014). Behavioural affect and cognitive effects of time-pressure and justification requirement in software acquisition: Evidence from an eye-tracking experiment. AMCIS 2014 Proceedings.

Fehrenbacher, D. D., & Tracy, L. (2016). Gaze behaviour, motivational factors, and knowledge sharing. ICIS 2016 Proceedings.

Feldmann, N., Adam, M. T. P., & Bauer, M. (2014). Using seroius games for idea assessment in service innovation. ECIS 2014 Proceedings.

Fischer, T., & Riedl, R. (2015). Theorizing technostress in organizations: A cybernetic approach. Wirtschaftsinformatik 2015 Proceedings, 1453–1467.

Fischer, T., & Riedl, R. (2017). Technostress research: A nurturing ground for measurement pluralism? Communications of the Association for Information Systems, 40(1), 375–401.

Fu, S., Vreede, G.-J. de, Cheng, X., Seeber, I., Maier, R., & Weber, B. (2017). Convergence of crowdsourcing ideas: A cognitive load perspective. ICIS 2017 Proceedings.

Galliers, R. D., & Stein, M.-K. (2018). Information systems: To be, or not to be, a science? Is that the question? Communications of the Association for Information Systems, 43(12), 197–204.

Galluch, P., Grover, V., & Thatcher, J. (2015). Interrupting the workplace: Examining stressors in an information technology context. Journal of the Association for Information Systems, 16(1), 1–47.

Gaskin, J., Jenkins, J. L., Meservy, T. O., Steffen, J., & Payne, K. (2017). Using wearable devices for non-invasive, inexpensive physiological data collection. Hawaii International Conference on System Sciences 2017.

Gefen, D., Ayaz, H., & Onaral, B. (2014). Applying functional near infrared (fNIR) spectroscopy to enhance MIS research. AIS Transactions on Human-Computer Interaction, 6(3), 55–73.

George, J. F. (2017). The future of academic MIS: Redux. Journal of the Midwest Association for Information Systems, 1(2), 9–18.

Gier, N. R., Kurz, J., & Kenning, P. (2020). Online reviews as marketing placebo? First insights from Neuro-Is utilising fNIRS. ECIS 2020 Proceedings.

Gimpel, H., Adam, M. T. P., & Teubner, T. (2013). Emotion regulation in management: Harnessing the potential of NeuroIS tools. ICIS 2013 Proceedings.

Gimpel, H., Regal, C., & Schmidt, M. (2015). myStress: Unobtrusive smartphone-based stress detection. ECIS 2015 Proceedings.

Gimpel, H., Regal, C., & Schmidt, M. (2019a). Design knowledge on mobile stress assessment. ICIS 2019 Proceedings.

Gimpel, H., Regal, C., & Schmidt, M. (2019b). Life-integrated stress assessment. ECIS 2019 Proceedings.

Giroux, F., Poirier, S.-M., Sénécal, S., & Léger, P.-M. (2021). Choosing the right frame shape for food product presentation in online retail settings: A NeuroIS study. ICIS 2021 Proceedings.

Gleasure, R. (2014). Using distractor images in web design to increase content familiarity: A NeuroIS perspective. ICIS 2014 Proceedings.

Gleasure, R., & Grace, A. (2016). Designing an artefact to help users make intervention decisions about their wellness. Journal of Decision Systems, 25(sup1), 261–273.

Gleasure, R., Feller, J., & O’Flaherty, B. (2012). Human-centred design: Existing approaches and a future research argenda. ECIS 2012 Proceedings, 105.

Goes, P. (2013). Editor’s comments: Information systems research and behavioral economics. MIS Quarterly, 37(3), iii–viii.

Goggins, S. P., Schmidt, M., Guajardo, J., & Moore, J. (2010). Assessing multiple perspectives in three dimensional virtual worlds: Eye tracking and all views qualitative analysis (AVQA). In R. H. Sprague (Ed.), Proceedings of HICSS 2010 (pp. 1–10). Piscataway, NJ: IEEE.

González-Cabrera, J., Calvete, E., León-Mejía, A., Pérez-Sancho, C., & Peinado, J. M. (2017). Relationship between cyberbullying roles, cortisol secretion and psychological stress. Computers in Human Behavior, 70, 153–160.

Gregor, S., & Klein, G. (2014). Eight obstacles to overcome in the theory testing genre. Journal of the Association for Information Systems, 15(11), I–XIX.

Gregor, S., Lin, A. C. H., Gedeon, T., Riaz, A., & Zhu, D. (2014). Neuroscience and a nomological network for the understanding and assessment of emotions in information systems research. Journal of Management Information Systems, 30(4), 13–48.

Grimes, M., Jenkins, J. L., & Valacich, J. S. (2013). Exploring the effect of arousal and valence on mouse interaction. ICIS 2013 Proceedings, 4.

Gross, J., Breitenbach, J., Baumgartl, H., & Buettner, R. (2021). High-performance detection of corneal ulceration using image classification with convolutional neural networks. Hawaii International Conference on System Sciences 2021.

Gross, J., Groiss, N., Rieg, T., Baumgartl, H., & Buettner, R. (2021). High-performance detection of mild cognitive impairment using resting-state EEG signals located in broca’s area: A machine learning approach. AMCIS 2021 Proceedings.

Gross, J., Mesgun, F., Frick, J., Baumgartl, H., & Buettner, R. (2021). Machine learning-based detection of high trait anxiety using frontal asymmetry characteristics in resting-state EEG recordings. PACIS 2021 Proceedings.

Großer, B., & Baumöl, U. (2017). Virtual teamwork in the context of technological and cultural transformation. International Journal of Information Systems and Project Management, 5(4), 21–35.

Grummeck-Braamt, J.-V., Nastjuk, I., Najmaei, A., & Adam, M. T. P. (2021). A bibliometric review of technostress: Historical roots, evolution and central publications of a growing research field. Hawaii International Conference on System Sciences 2021.

Hannemann, F., Pröllochs, N., Alfano, S., & Neumann, D. (2018). Noise trader behavior – A disaggregated approach to understanding news reception in financial markets. ECIS 2018 Proceedings.

Hariharan, A., Adam, M. T. P., & Fuong, K. (2014). Towards understanding the interplay of cognitive demand and arousal in action bidding. ECIS 2014 Proceedings.

Hariharan, A., Adam, M. T. P., Dorner, V., Lux, E., Mueller, M., Pfeiffer, J., & Weinhardt, C. (2017). Brownie: A platform for conducting NeuroIS experiments. Journal of the Association for Information Systems, 18(4), 264–296.

Hassan, N. R. (2017). Constructing the right disciplinary IS questions. AMCIS 2017 Proceedings.

Hassan, Nik R., & Hovorka, D. S. (2011). Sociomateriality and IS identity. ACIS 2011 Proceedings.

Hassan, Nik R. (2017). Constructing the right disciplinary IS questions. AMCIS 2017 Proceedings.

Hassandoust, F., Techatassanasoontorn, A. A., & Singh, H. (2020). Information security behaviour: A critical review and research directions. ECIS 2020 Proceedings.

Hawlitschek, F., Jansen, L.-E., Lux, E., Teubner, T., & Weinhardt, C. (2016). Colors and trust: The influence of user interface design on trust and reciprocity. In T. X. Bui & R. H. Sprague (Eds.), Proceedings of HICSS 2016 (pp. 590–599). Piscataway, NJ: IEEE.

Hawlitschek, F., Teubner, T., Adam, M. T. P., Borchers, N. S., Moehlmann, M., & Weinhardt, C. (2016). Trust in the sharing economy: An experimental framework. ICIS 2016 Proceedings.

Heide, T., Shitkova, M., & Becker, J. (2014). NeuroKMS: Integrating neuroscience into knowledge management for assuring data quality. In D. Kundisch, L. Suhl, & L. Beckmann (Eds.), Proceedings of the Multikonferenz Wirtschaftsinformatik 2014 (pp. 1965–1977).

Heising, L., & Angelopoulos, S. (2021). Early diagnosis of mild cognitive impairment with 2-dimensional convolutional neural network classification of magnetic resonance images. Hawaii International Conference on System Sciences 2021.

Hernández-Méndez, J., & Muñoz-Leiva, F. (2015). What type of online advertising is most effective for eTourism 2.0? An Eye Tracking Study Based on the Characteristics of Tourists. Computers in Human Behavior, 50, 618–625.

Hevner, A., Davis, C., Collins, R., & Gill, G. (2014). A NeuroDesign model for IS research. Informing Science, 17, 103–132.

Hovorka, D., Thatcher, J. B., Dennis, A. R., & GeorgE, J. F. (2018). Informing research: Celebrating 50 years of ideas and science at HICSS. Journal of the Association for Information Systems, 19(10), 924–928.

Hu, L., Zhang, W., & Xu, Q. (2013). The determinants of online payment method choice: Insight from an eye-tracking study. WHICEB 2013 Proceedings, 80.

Hu, Q., West, R., & Smarandescu, L. (2015). The role of self-control in information security violations: Insights from a cognitive neuroscience perspective. Journal of Management Information Systems, 31(4), 6–48.

Hu, Q., West, R., Smarandescu, L., & Yaple, Z. (2014). Why individuals commit information security violations: Neural correlates of decision processes and self-control. In T. X. Bui & R. H. Sprague (Eds.), Proceedings of HICSS 2014 (pp. 3234–3243). Piscataway, NJ: IEEE.

Huang, Y.-f., & Kuo, F.-y. (2012). How impulsivity affects consumer decision-making in e-commerce. Electronic Commerce Research and Applications, 11(6), 582–590.

Huang, Y.-f., Kuo, F.-y., & Lin, C. (2017). Behavior regulation in social media: A neuroscientific investigation. ICIS 2017 Proceedings.

Huang, Y.-f., Kuo, F.-y., Luu, P., Tucker, D., & Hsieh, P.-j. (2015). Hedonic evaluation can be automatically performed: An electroencephalography study of website impression across two cultures. Computers in Human Behavior, 49, 138–146.

Hubert, M., Hubert, M., Riedl, R., & Kenning, P. H. (2014). How consumer impulsiveness moderates online trustworthiness evaluations: Neurophysiological insights. ICIS 2014 Proceedings.

Hubert, M., Linzmajer, M., Riedl, R., Hubert, M., Kenning, P., & Weber, B. (2017). Using psycho-physiological interaction analysis with fMRI data in IS research: A guideline. Communications of the Association for Information Systems, 40(9), 181–217.

Hubert, M., Linzmajer, M., Riedl, R., Kenning, P., & Hubert, M. (2012). Introducing connectivity analysis to NeuroIS research. ICIS 2012 Proceedings.

Inuzuka, M., Tanaka, Y., & Tsubakimoto, M. (2017). Students’ comprehension of scientific discussion: Using eye-tracking technique to investigate the effects of social-media messages on television. Hawaii International Conference on System Sciences 2017.

Izak Benbasat, Gefen, D., & Paul A. Pavlou. (2010). Introduction to the special issue on novel Perspectives on trust in information systems. MIS Quarterly, 34(2), 367–371.

Jaeger, L., & Eckhardt, A. (2016). A neurosecurity perspective on the formation of information security awareness – Proposing a multi-method approach. PACIS 2016 Proceedings.

Jaeger, L., & Eckhardt, A. (2017). Making cues salient: The role of security awareness in shaping threat and coping appraisals. ECIS 2017 Proceedings.

Jamet, E. (2014). An eye-tracking study of cueing effects in multimedia learning. Computers in Human Behavior, 32, 47–53.

Janek, F., Rieg, T., & Buettner, R. (2021). Detection of schizophrenia: A machine learning algorithm for potential early detection and prevention based on event-related potentials. Hawaii International Conference on System Sciences 2021.

Javor, A., Ransmayr, G., Struhal, W., & Riedl, R. (2016). Parkinson patients’ initial trust in avatars: Theory and evidence. PloS One, 11(11), e0165998.

Jay, C., Brown, A., & Harper, S. (2013). Predicting whether users view dynamic content on the World Wide Web. ACM Transactions on Computer-Human Interaction, 20(2), 1–33.

Jenkins, J. L., Anderson, B. B., Vance, A., Kirwan, C. B., & Eargle, D. (2016). More harm than good? How messages that interrupt can make us vulnerable. Information Systems Research, 27(4), 880–896.

Jensen, M., Piercy, C., Elzondo, J., Twyman, N., Valacich, J., Miller, C., Lee, Y.-H., Dunbar, N., Bessarabova, E., Burgoon, J., Adame, B., & Wilson, S. (2016). Exploring failure and engagement in a complex digital training game: A multi-method examination. AIS Transactions on Human-Computer Interaction, 8(1), 1–20.

Jung, D., & Weinhardt, C. (2018). Robo-advisors and financial decision inertia: How choice architecture helps to reduce inertia in financial planning tools. ICIS 2018 Proceedings.

Kalgotra, P., Sharda, R., & McHaney, R. (2016). Understanding the impact of interruptions on knowledge work: An exploratory neuroimaging study. In T. X. Bui & R. H. Sprague (Eds.), Proceedings of HICSS 2016 (pp. 658–667). Piscataway, NJ: IEEE.

Kalgotra, P., Sharda, R., & McHaney, R. (2017). Don’t disturb me! Understanding the impact of interruptions on knowledge work: An exploratory neuroimaging study. Information Systems Frontiers, 143(1), 215.

Kim, A., & Dennis, A. R. (2019). Says who? The effects of presentation format and source rating on fake news in social media. MIS Quarterly, 43(3), 1025–1039.

Kim, N. W., Bylinskii, Z., Borkin, M. A., Gajos, K. Z., Oliva, A., Durand, F., & Pfister, H. (2017). BubbleView: An interface for crowdsourcing image importance maps and tracking visual attention. ACM Transactions on Computer-Human Interaction, 24(5), 1–40.

Kirkwood, L., & Minas, R. K. (2020). Approaching fake news at the expense of truth: A psychophysiological study of news on social media. Hawaii International Conference on System Sciences 2020.

Koller, M., & Walla, P. (2012). Measuring affective information processing in information systems and consumer research – introducing startle reflex modulation. ICIS 2012 Proceedings.

Konok, V., Pogány, Á., & Miklósi, Á. (2017). Mobile attachment: Separation from the mobile phone induces physiological and behavioural stress and attentional bias to separation-related stimuli. Computers in Human Behavior, 71, 228–239.

Kopton, I., Sommer, J., Winkelmann, A., Riedl, R., & Kenning, P. (2013). Users’ trust building processes during their initial connecting behavior in social networks: Behavioral and neural evidence. ICIS 2013 Proceedings, 107.

Kothgassner, O. D., Felnhofer, A., Hlavacs, H., Beutl, L., Palme, R., Kryspin-Exner, I., & Glenk, L. M. (2016). Salivary cortisol and cardiovascular reactivity to a public speaking task in a virtual and real-life environment. Computers in Human Behavior, 62, 124–135.

Kowatsch, T., Wahle, F., Filler, A., Kehr, F., Volland, D., Haug, S., Jenny, G. J., Bauer, G., & Fleisch, E. (2015). Towards short-term detection of job strain in knowledge workers with a minimal-invasive information system service: Theoretical foundation and experimental design. ECIS 2015 Proceedings.

Kowatsch, T., Wangenheim, F. von, & Filler, A. (2017). Design and lab experiment of a stress detection service based on mouse movements. MCIS 2017 Proceedings.

Kuan, K. K. Y., Smith, J., Liu, N., & Poon, S. K. (2016). The role of review arousal in online reviews: Insights from EEG data. PACIS 2016 Proceedings.

Kuan, K. K. Y., Zhong, Y., & Chau, P. Y. K. (2014). Informational and normative social influence in group-buying: Evidence from self-reported and EEG data. Journal of Management Information Systems, 30(4), 151–178.

Kupfer, A. (2018). Research methods in the information systems discipline: A literature analysis of conference papers. AMCIS 2018 Proceedings.

Labonté-LeMoyne, É., Léger, P.-M., Sénécal, S., & Santhanam, R. (2016). Physical interaction with technology: Kinesiology as a reference discipline for information systems research. ICIS 2016 Proceedings.

Labonté-LeMoyne, É., Santhanam, R., Léger, P.-M., Courtemanche, F., Fredette, M., & Sénécal, S. (2015). The delayed effect of treadmill desk usage on recall and attention. Computers in Human Behavior, 46, 1–5.

Lai, C., Jhang, Z.-L., & Chen, D.-N. (2019). To design and implement a recommender system based on brainwave: Applying empirical model decomposition (EMD) and neural networks. Hawaii International Conference on System Sciences 2019.

Lai, C.-Y., Liang, T.-P., & Hui, K.-L. (2018). Information privacy paradox: A neural science study. PACIS 2018 Proceedings.

Lee, J., & Ahn, J.-H. (2012). Attention to banner ads and their effectiveness: An eye-tracking approach. International Journal of Electronic Commerce, 17(1), 119–137.

Léger, P.-M., Davis, F. D., Cronan, T. P., & Perret, J. (2014). Neurophysiological correlates of cognitive absorption in an enactive training context. Computers in Human Behavior, 34, 273–283.

Léger, P.-M., Davis, F. D., Perret, J., & Dunaway, M. M. (2010). Psychophysiological measures of cognitive absorption. IGHCI 2010 Proceedings, 9.

Léger, P.-M., Sénécal, S., Courtemanche, F., Ortiz de Guinea, A., Titah, R., Fredette, M., & Labonté- LeMoyne, É. (2014). Precision is in the eye of the beholder: Application of eye fixation-related potentials to information systems research. Journal of the Association for Information Systems, 15(10), 651–678.

Legoux, R., Léger, P.-M., Robert, J., & Boyer, M. (2014). Confirmation biases in the financial analysis of IT investments. Journal of the Association for Information Systems, 15(1), 33–52.

Lerma, G., & Miralles, F. (2009). NeuroIS: Neurophilosophical approach. AMCIS 2009 Proceedings, 365.

Leuthold, S., Schmutz, P., Bargas-Avila, J. A., Tuch, A. N., & Opwis, K. (2011). Vertical versus dynamic menus on the World Wide Web: Eye tracking study measuring the influence of menu design and task complexity on user performance and subjective preference. Computers in Human Behavior, 27(1), 459–472.

Leyer, M., & Schneider, S. (2019). Me, you or AI? How do we feel about delegation. ECIS 2019 Proceedings.

Li, K., Huang, G., & Bente, G. (2016). The impacts of banner format and animation speed on banner effectiveness: Evidence from eye movements. Computers in Human Behavior, 54, 522–530.

Liang, T.-P. (2012). Cognitive neuroscience in information systems research. Pacific Asia Journal of the Association for Information Systems, 4(1), i–iii.

Liapis, C., & Chatterjee, S. (2011). On a EuroIS design science model. In H. Jain, A. P. Sinha, & P. Vitharana (Eds.), Service-Oriented Perspectives in Design Science Research: Proceedings of DESRIST 2011 (Vol. 6629, pp. 440–451). Berlin, Heidelberg: Springer.

Lin, A. C.-H., & Vasilyeva, O. (2011). Envisioning the concept of emotions for theory development and testing in information systems research: A study of one positive emotion – Enjoyment. JAIS Theory Development Workshop 2011 Proceedings, 469.

Lin, H. (2012). Towards a meditation brain state model using electroencephalographic data. AMCIS 2012 Proceedings.

Liu, H.-C., Lai, M.-L., & Chuang, H.-H. (2011). Using eye-tracking technology to investigate the redundant effect of multimedia web pages on viewers’ cognitive processes. Computers in Human Behavior, 27(6), 2410–2417.

Lo, S.-K., Hsieh, A.-Y., & Chiu, Y.-P. (2014). Keyword advertising is not what you think: Clicking and eye movement behaviors on keyword advertising. Electronic Commerce Research and Applications, 13(4), 221–228.

Loewe, N., & Nadj, M. (2020). Physio-adaptive systems- A state-of-the-art review and future research direction. ECIS 2020 Proceedings.

Loos, P., Riedl, R., Müller-Putz, G. R., vom Brocke, J., Davis, F. D., Banker, R. D., & Léger, P.-M. (2010). NeuroIS: Neuroscientific approaches in the investigation and development of information systems. Business & Information Systems Engineering, 2(6), 395–401.

Luan, J., Yao, Z., Zhao, F., & Liu, H. (2016). Search product and experience product online reviews: An eyetracking study on consumers’ review search behavior. Computers in Human Behavior, 65, 420–430.

Luecke, M., Zhang, C., & Kettinger, W. J. (2013). Multimedia in requirements elicitation: When to show, to speak, to animate, or to simulate. SIGHCI 2013 Proceedings, 13.

Lux, E., Adam, M. T. P., Dorner, V., Helming, S., Knierim, M. T., & Weinhardt, C. (2018). Live biofeedback as a user interface design element: A review of the literature. Communications of the Association for Information Systems, 43(18), 257–296.

Lux, E., Hawlitschek, F., Adam, M. T. P., & Pfeiffer, J. (2015). Using live biofeedback for decision support: Investigating influences of emotion regulation in financial decision making. ECIS 2015 Proceedings, Paper 50.

Mach, Q. H., Hunter, M. D., & Grewal, R. S. (2010). Neurophysiological correlates in interface design: An HCI perspective. Computers in Human Behavior, 26(3), 371–376.

Mady, A., & Gupta, S. (2017). Behavioral approach to information security policy compliance. AMCIS 2017 Proceedings.

Mahapatra, M., & Pillai, R. (2018). Technostress in organizations: A review of literature. ECIS 2018 Proceedings.

Maier, C., Laumer, S., & Weinert, C. (2015). Enterprise resource planning systems induced stress: a comparative empirical analysis with young and elderly SAP users. Wirtschaftsinformatik 2015 Proceedings, 1931–1406.

Mamun, M. R. Al, David, A., Mai, B., Kim, D. J., & Parsons, T. D. (2018). The first 10 years of NeuroIS: A systematic literature review of NeuroIS publications (2007 – 2017). Hawaii International Conference on System Sciences 2018, 226–234.

Martin, N., & Zafar, H. (2015). Information security: Modeling the unconscious mind. AMCIS 2015 Proceedings.

Masciocchi, C. M., & Still, J. D. (2013). Alternatives to eye tracking for predicting stimulus-driven attentional selection within interfaces. Human–Computer Interaction, 28(5), 417–441.

Matthews, M. (2021). The case for information bricolage in IS research: A theoretical proposal. PACIS 2021 Proceedings.

Mazurova, E., Penttinen, E., & Salovaara, A. (2021). Stakeholder-dependent views on biases of human- and machine-based judging systems. Hawaii International Conference on System Sciences 2021.

Meppelink, C. S., & Bol, N. (2015). Exploring the role of health literacy on attention to and recall of textillustrated health information: An eye-tracking study. Computers in Human Behavior, 48, 87–93.

Meservy, T. O., Fadel, K. J., & Meservy, R. D. (2017). Cognitive patterns of information addiction. AMCIS 2017 Proceedings.

Meservy, T. O., Fadel, K. J., Kirwan, C. B., & Meservy, R. D. (2019). An fMRI exploration of information processing in electronic networks of practice. MIS Quarterly, 43(3), 851–872.

Meservy, T. O., Jensen, M. L., & Fadel, K. J. (2014). Evaluation of competing candidate solutions in electronic networks of practice. Information Systems Research, 25(1), 15–34.

Meservy, T., Fadel, K. J., & Meservy, R. D. (2017). Cognitive patterns of information addiction. ICIS 2017 Proceedings.

Miller, A., & Warkentin, M. (2018). Why lie?: Deception of health information. AMCIS 2018 Proceedings.

Minas, R. K., Potter, R. F., Dennis, A. R., Bartelt, V., & Bae, S. (2014). Putting on the thinking cap: Using NeuroIS to understand information processing biases in virtual teams. Journal of Management Information Systems, 30(4), 49–82.

Minas, R. K., Randolph, A. B., Dennis, A. R., Dimoka, A., Lee, A., Turel, O., & Panko, R. (2019). HICSS panel report on cognitive foreshadowing: Next steps in applying neuroscience and cognitive science to information systems research. Communications of the Association for Information Systems, 44(42), 907–917.

Mingers, J., & Standing, C. (2019a). A framework for validating information systems research based on a pluralist account of truth and correctness. ECIS 2019 Proceedings.

Mingers, J., & Standing, C. (2019b). Truth and correctness: Towards a pluralist framework for validating information systems research. PACIS 2019 Proceedings.

Mingers, J., & Standing, C. (2020). A framework for validating information systems research based on a pluralist account of truth and correctness. Journal of the Association for Information Systems, 21(6), 117–151.

Mirhoseini, S., Léger, P.-M., & Sénécal, S. (2017). Investigating the effect of product sorting and users’ goal on cognitive load. SIGHCI 2017 Proceedings, 3.

Mohammed, Z., & Tejay, G. (2015). The role of cognitive disposition in deconstructing the privacy paradox: A neuroscience study. AMCIS 2015 Proceedings.

Molina, A. I., Redondo, M. A., Lacave, C., & Ortega, M. (2014). Assessing the effectiveness of new devices for accessing learning materials: An empirical analysis based on eye tracking and learner subjective perception. Computers in Human Behavior, 31, 475–490.

Moore, R. J., & Churchill, E. F. (2011). Computer interaction analysis: Toward an empirical approach to understanding user practice and eye gaze in GUI-based interaction. Computer Supported Cooperative Work, 20(6), 497–528.

Morana, S., Kroenung, J., & Maedche, A. (2017). “I did use it!” – Assessing subjective vs objective cognitive artifact usage. Wirtschaftsinformatik 2017 Proceedings, 1021–1035.

Morana, S., Pfeiffer, J., & Adam, M. T. P. (2020). User assistance for intelligent systems. Business & Information Systems Engineering, 62(3), 189–192.

Morana, S., vom Brocke, J., Maedche, A., Seidel, S., Adam, M. T. P., Bub, U., Fettke, P., Gau, M., Herwix, A., Mullarkey, M. T., Nguyen, H. D., Sjöström, J., Toreini, P., Wessel, L., & Winter, R. (2018). Tool support for design science research—Towards a software ecosystem: A report from a DESRIST 2017 Workshop. Communications of the Association for Information Systems, 43(17), 237–256.

Moravec, P. L., Minas, R. K., & Dennis, A. R. (2019). Fake news on social media: People believe what they want to believe when it makes no sense at all. MIS Quarterly, 43(4), 1343–1360.

Moridis, C. N., Terzis, V., Economides, A. A., Karlovasitou, A., & Karabatakis, V. E. (2012). Integrating TAM with EEG frontal asymmetry. MCIS 2012 Proceedings, Paper 5.

Mousavi, S., & Balthazard, P. (2013). Neurophysiologic patterns of learning in decision groups. In R. H. Sprague (Ed.), Proceedings of HICSS 2013 (pp. 96–105). Piscataway, NJ: IEEE.

Müller, M. B., Adam, M. T. P., Cornforth, D. J., Chiong, R., Krämer, J., & Weinhardt, C. (2016). Selecting physiological features for predicting bidding behavior in electronic auctions. In T. X. Bui & R. H. Sprague (Eds.), Proceedings of HICSS 2016 (pp. 396–405). Piscataway, NJ: IEEE.

Müller-Bloch, C., & Kranz, J. (2015). A framework for rigorously identifying research gaps in qualitative literature reviews. ICIS 2015 Proceedings.

Müller-Putz, G. R., Riedl, R., & Wriessnegger, S. C. (2015). Electroencephalography (EEG) as a research tool in the information systems discipline: Foundations, measurement, and applications. Communications of the Association for Information Systems, 37(46), 911–948.

Ndicu, M., & Vedadi, A. (2015). The human-information-processor model view of e-government. AMCIS 2015 Proceedings, 7.

Neben, T. (2015). A model of defensive information avoidance in information systems use. ICIS 2015 Proceedings.

Neben, T., & Schneider, C. (2015). Ad intrusiveness, loss of control, and stress: A psychophysiological study. ICIS 2015 Proceedings.

Nissen, A. (2020). Psychological and physiological effects of color use on eCommerce websites: A neural study using fNIRS. ICIS 2020 Proceedings.

Nissen, A., & Gier, N. R. (2021). A neural investigation of eLoyalty on eCommerce websites. ICIS 2021 Proceedings.

Nissen, A., & Jahn, K. (2021). Between anthropomorphism, trust, and the uncanny valley: A dual-processing perspective on perceived trustworthiness and its mediating effects on use intentions of social robots. Hawaii International Conference on System Sciences 2021.

Nissen, A., Krampe, C., Kenning, P., & Schütte, R. (2019). Utilizing mobile fNIRS to investigate neural correlates of the TAM in eCommerce. ICIS 2019 Proceedings, 2609.

Nissen, A., Obermeier, G., Gier, N. R., & Auinger, A. (2021). Oh, what a cognitive relief! A NeuroIS study on visual designs of digital signages. ICIS 2021 Proceedings.

Nitiema, P., & Santhanam, R. (2020). Reducing technostress through workstation designs. MWAIS 2020 Proceedings.

Nkwe, N., & Cohen, J. F. (2020). Social network site user archetypes: An exploratory study of implications for workplace outcomes. PACIS 2020 Proceedings.

Nunamaker, J. F., Derrick, D. C., Elkins, A. C., Burgoon, J. K., & Patton, M. W. (2011). Embodied conversational agent–based kiosk for automated interviewing. Journal of Management Information Systems, 28(1), 17–48.

Nyshadham, E. A., & Castano, D. (2012). Affect and online privacy concerns. SSRN Electronic Journal.

Nyshadham, E. A., & Minton, R. F. (2013). Affect and risk in IS research. SSRN Electronic Journal.

Öksüz, N., & Maass, W. (2020). A situation-specific smart retail service based on vital signs. ICIS 2020 Proceedings.

Ortiz de Guinea, A. (2018). Employees’ cognitive load and performance during multitasking use of Information Technology. ECIS 2018 Proceedings.

Ortiz de Guinea, A., & Webster, J. (2013). An investigation of information systems use patterns: Technological events as triggers, the effect of time and consequences for performance. MIS Quarterly, 37(4), 1165–1188.

Ortiz de Guinea, A., & Webster, J. (2014). Overcoming variance and process distinctions in information systems research. ICIS 2014 Proceedings.

Ortiz de Guinea, A., Titah, R., & Léger, P.-M. (2013). Measure for measure: A two study multi-trait multimethod investigation of construct validity in IS research. Computers in Human Behavior, 29(3), 833–844.

Ortiz de Guinea, A., Titah, R., & Léger, P.-M. (2014). Explicit and implicit antecedents of users’ behavioral beliefs in information systems: A neuropsychological investigation. Journal of Management Information Systems, 30(4), 179–210.

Ortiz de Guinea, A., Titah, R., Léger, P.-M., & Micheneau, T. (2012). Neurophysiological correlates of information systems commonly used self-reported measures: A multitrait multimethod study. In R. H. Sprague (Ed.), Proceedings of HICSS 2012 (pp. 562–571). Piscataway, NJ: IEEE.

Oschinsky, F. M., Klesel, M., Ressel, N., & Niehaves, B. (2019). Where are your thoughts? On the relationship between technology use and mind wandering. Hawaii International Conference on System Sciences 2019.

Ozcelik, E., Arslan-Ari, I., & Cagiltay, K. (2010). Why does signaling enhance multimedia learning? Evidence from eye movements. Computers in Human Behavior, 26(1), 110–117.

Pak, J., & Zhou, L. (2013). Eye gazing behaviors in online deception. In E. R. McLean, S. Dekleva, A. S. Lee, & J. C. Westland (Eds.), AMCIS 2013 Proceedings.

Panko, R. R. (2013). The cognitive science of spreadsheet errors: Why thinking is bad. In R. H. Sprague (Ed.), Proceedings of HICSS 2013 (pp. 4013–4022). Piscataway, NJ: IEEE.

Pantazos, K., & Vatrapu, R. (2016). Enhancing the professional vision of teachers: A physiological study of teaching analytics dashboards of students’ repertory grid exercises in business education. In T. X. Bui & R. H. Sprague (Eds.), Proceedings of HICSS 2016 (pp. 41–50). Piscataway, NJ: IEEE.

Pappas, I., Sharma, K., Mikalef, P., & Giannakos, M. (2018a). A comparison of gaze behavior of experts and novices to explain website visual appeal. PACIS 2018 Proceedings.

Pappas, I., Sharma, K., Mikalef, P., & Giannakos, M. (2018b). Visual aesthetics of e-commerce websites: An eye-tracking approach. Hawaii International Conference on System Sciences 2018.

Peffers, K., Hsu, C., Tremblay, M., vom Brocke, J., Rothenberger, M. A., & Tuunanen, T. (2019). Editorial. Journal of Information Technology Theory and Application, 20(1), 1–8.

Pengnate, S. (2016). Measuring emotional arousal in clickbait: Eye-tracking approach. In J. F. Nunamaker, AMCIS 2016 Proceedings.

Peris, M., Schlömer, I., Däuble, G., & Nüttgens, M. (2015). Eyetracking-Forschung in Wirtschaftsinformatik und Information Systems Research – Literaturanalyse und Anwendungspotenziale. Wirtschaftsinformatik 2015 Proceedings, 1513–1526.

Perrin, J.-L., Paillé, D., & Baccino, T. (2014). Reading tilted: Does the use of tablets impact performance? An oculometric study. Computers in Human Behavior, 39, 339–345.

Petrusel, R., & Mendling, J. (2013). Eye-tracking the factors of process model comprehension tasks. In C. Salinesi, M. C. Norrie, & Ó. Pastor (Eds.), Advanced Information Systems Engineering: 25th International Conference, CAiSE 2013, Valencia, Spain, June 17-21, 2013. Proceedings (Vol. 7908, pp. 224–239). Berlin, Heidelberg: Springer.

Petrusel, R., Mendling, J., & Reijers, H. A. (2017). How visual cognition influences process model comprehension. Decision Support Systems, 96, 1–16.

Peukert, C., Adam, M. T. P., Hawlitschek, F., Helming, S., Lux, E., & Teubner, T. (2018). Knowing me, knowing you: Biosignals and trust in the surveillance economy. ICIS 2018 Proceedings.

Pflügner, K., Mattke, J., & Maier, C. (2019). Who is stressed by using ICTs? A qualitative comparison analysis with the Big Five personality traits to understand technostress. Wirtschaftsinformatik 2019 Proceedings, 1175–1189.

Pienta, D., Tams, S., & Thatcher, J. B. (2020). Can trust be trusted in cybersecurity? Hawaii International Conference on System Sciences 2020.

Pinggera, J., Furtner, M., Martini, M., Sachse, P., Reiter, K., Zugal, S., & Weber, B. (2012). Investigating the process of process modeling with eye movement analysis. In M. Rosa & P. Soffer (Eds.): Business Process Management Workshops: BPM 2012 International Workshops, Tallinn, Estonia, September 3, 2012. Revised Papers (pp. 438–450). Berlin, Heidelberg: Springer.

Pröllochs, N., Adam, M. T. P., Feuerriegel, S., & Neumann, D. (2018). Information processing of financial news: The role of cognitive dissonance and information avoidance. ECIS 2018 Proceedings, 2.

Raab, D., Baumgartl, H., & Buettner, R. (2020). Machine learning based diagnosis of binge eating disorder using EEG recordings. PACIS 2020 Proceedings.

Randolph, A. B. (2012). Not all created equal: Individual-technology fit of brain-computer interfaces. In R. H. Sprague (Ed.), Proceedings of HICSS 2012 (pp. 572–578). Piscataway, NJ: IEEE.

Randolph, A. B. (2014). The applicability of neurally-controlled devices in business: A student perspective. In T. X. Bui & R. H. Sprague (Eds.), Proceedings of HICSS 2014 (pp. 406–411). Piscataway, NJ: IEEE.

Randolph, A. B., Borders, A. L., & Loe, T. W. (2013). Into the mind of the seller: Using neurophysiological tools to understand sales techniques. In R. H. Sprague (Ed.), Proceedings of HICSS 2013 (pp. 425–429). Piscataway, NJ: IEEE.

Ray, A., & George, J. F. (2021). Online hate and its routes to aggression: A research agenda. Hawaii International Conference on System Sciences 2021.

Rea, A., & Marshall, K. (2020). Information security research within the information systems discipline: Analyzing, categorizing, and classifying the historical underpinnings and theoretical assumptions. AMCIS 2020 Proceedings.

Recker, J. (2013). Of hygiene and motivator factors: Views from “down under” – Comments on “qualification profile of university professors in business and information systems engineering (BISE).” Business & Information Systems Engineering, 5(4), 287–288.

Reimer, U., Laurenzi, E., Maier, E., & Ulmer, T. (2017). Mobile stress recognition and relaxation support with smartCoping: User-adaptive interpretation of physiological stress parameters Hawaii International Conference on System Sciences 2017.

Reinke, K., Gerlach, G., Tarafdar, M., & Stock, R. M. (2016). ICT-Based communication events as triggers of stress: A mixed methods study. ICIS 2016 Proceedings.

Rendell, A., Adam, M. T. P., & Eidels, A. (2019). Setting the e-commerce scene: A qualitative investigation of the use of nature imagery in user interface design. ACIS 2019 Proceedings.

Riedl, R. (2013). On the biology of technostress: Literature review and research agenda. DATA BASE for Advances in Information Systems, 44(1), 18.

Riedl, R., & Rueckel, D. (2011). Historical development of research methods in the information systems discipline. AMCIS 2011 Proceedings, 28.

Riedl, R., Banker, R. D., Benbasat, I., Davis, F. D., Dennis, A. R., Dimoka, A., Gefen, D., Gupta, A., Ischebeck, A., Kenning, P., Müller-Putz, G. R., Pavlou, P. A., Straub, D. W., vom Brocke, J., & Weber, B. (2010). On the foundations of NeuroIS: Reflections on the Gmunden Retreat 2009. Communications of the Association for Information Systems, 27(1), 243–264.

Riedl, R., Davis, F. D., & Hevner, A. (2014). Towards a NeuroIS research methodology: Intensifying the discussion on methods, tools, and measurement. Journal of the Association for Information Systems, 15(10), i–xxxv.

Riedl, R., Davis, F. D., Léger, P.-M., & Müller-Putz, G. R. (2020). NeuroIS: Status, rewarding research questions, and future directions. ICIS 2020 Proceedings.

Riedl, R., Fischer, T., & Léger, P.-M. (2017). A decade of NeuroIS research: Status quo, challenges, and future directions. ICIS 2017 Proceedings.

Riedl, R., Hubert, M., & Kenning, P. (2010). Are there neural gender differences in online trust? An fMRI study on the perceived trustworthiness of eBay offers. MIS Quarterly, 34(2), 397–428.

Riedl, R., Kindermann, H., Auinger, A., & Javor, A. (2012). Technostress from a neurobiological perspective: System breakdown increases the stress hormone cortisol in computer users. Business & Information Systems Engineering, 4(2), 61–69.

Riedl, R., Mohr, P. N. C., Kenning, P. H., Davis, F. D., & Heekeren, H. R. (2011). Trusting humans and avatars: Behavioral and neural evidence. ICIS 2011 Proceedings.

Riedl, R., Mohr, P. N. C., Kenning, P. H., Davis, F. D., & Heekeren, H. R. (2014). Trusting humans and avatars: A brain imaging study based on evolution theory. Journal of Management Information Systems, 30(4), 83–114.

Riedl, R., Randolph, A. B., vom Brocke, J., Léger, P.-M., & Dimoka, A. (2010). The potential of neuroscience for human-computer interaction research. SIGHCI 2010 Proceedings.

Rieg, T., Frick, J., Hitzler, M., & Buettner, R. (2019). High-performance detection of alcoholism by unfolding the amalgamated EEG spectra using the Random Forests method. Hawaii International Conference on System Sciences 2019.

Rodger, J. A. (2014). Reinforcing inspiration for technology acceptance: Improving memory and software training results through neuro-physiological performance. Computers in Human Behavior, 38, 174–184.Rodger, J. A., & Gonzalez, S. P. (2013). Emotion and memory in technology adoption and diffusion. AMCIS 2013 Proceedings.

Rosenthal-von der Pütten, A. M., Schulte, F. P., Eimler, S. C., Sobieraj, S., Hoffmann, L., Maderwald, S., Brand, M., & Krämer, N. C. (2014). Investigations on empathy towards humans and robots using fMRI. Computers in Human Behavior, 33, 201–212.Safi, R., Browne, G. J., & Walden, E. A. (2018). The role of message structure on the effectiveness of security messages: A neuro-investigation. MWAIS 2018 Proceedings.

Sarker, S., Palvia, P., Oguz, A., Wu, C., & Xiao, X. (2020). Editorial: A brief retrospective (2013-2019). Journal of the Association for Information Systems, 20(12), 1901–1915.

Saunders, C., & Rutkowski, A.-F. (2019). Go for it: Where IS researchers aren’t researching. International Journal of Information Systems and Project Management, 7(3), 5–15.

Saunders, C., Brown, S. A., Bygstad, B., Dennis, A. R., Ferran, C., Galletta, D. F., Liang, T.-P., Lowry, P. B., & Recker, J. (2017). Goals, values, and expectations of the AIS family of journals. Communications of the Association for Information Systems, 41, 334–348.

Schellhammer, S., Haines, R., & Klein, S. (2013). Investigating technostress in situ: Understanding the day and the life of a knowledge worker using heart rate variability. In R. H. Sprague (Ed.), Proceedings of HICSS 2013 (pp. 430–439). Piscataway, NJ: IEEE.

Schneider, C., Valacich, J. S., & Dimoka, A. (2017). Introduction to human-computer interaction: Informing design utilizing behavioral, neurophysiological, and design science methods minitrack. Hawaii International Conference on System Sciences 2017.

Schneider, C., Valacich, J. S., & Dimoka, A. (2018). Introduction to the minitrack on human-computer interaction: Informing design utilizing behavioral, neurophysiological, and design science methods. Hawaii International Conference on System Sciences 2018.

Schneider, K., Reinke, K., Gerlach, G., Anderson, C., Wojtek, S., Neitzel, S., Dwarakanath, R., Boehnstedt, D., & Stock, R. M. (2017). Aligning ICT-enabled availability and individual availability preferences: Design and evaluation of availability management applications. ICIS 2017 Proceedings.

Schöbel, S., Janson, A., Jahn, K., Kordyaka, B., Turetken, O., Djafarova, N., Saqr, M., Wu, D., Söllner, M., Adam, M., Heiberg Gad, P., Wesseloh, H., & Leimeister, J. M. (2020). A research agenda for the why, what, and how of gamification designs: Outcomes of an ECIS 2019 panel. Communications of the Association for Information Systems, 46(1), 706–721.

Scott, G. G., & Hand, C. J. (2016). Motivation determines Facebook viewing strategy: An eye movement analysis. Computers in Human Behavior, 56, 267–280.

Sénécal, S., Léger, P.-M., Fredette, M., & Riedl, R. (2012). Consumers’ online cognitive scripts: A neurophysiological approach. ICIS 2012 Proceedings.

Sénécal, S., Léger, P.-M., Fredette, M., Courtemanche, F., Mirhoseini, S., Paquet, A., & Riedl, R. (2013). Touch screen as input device: Does it influence memory retrieval? ICIS 2013 Proceedings.

Seo, Y., Kim, M., Jung, Y., & Lee, D. (2017). Avatar face recognition and self-presence. Computers in Human Behavior, 69, 120–127.

Serenko, A., & Turel, O. (2020). Measuring implicit attitude in information systems research with the implicit association test. Communications of the Association for Information Systems, 47(19), 397–431.

Seymour, M., Riemer, K., & Kay, J. (2017). Interactive realistic digital avatars – Revisiting the uncanny valley. Hawaii International Conference on System Sciences 2017.

Shah, P., Goyal, M., & Hu, D. (2016). Role of expiration dates in grocery shopping behavior: An eye tracking perspective. AMCIS 2016 Proceedings.

Shalom, J. G., Israeli, H., Markovitzky, O., & Lipsitz, J. D. (2015). Social anxiety and physiological arousal during computer mediated vs. face to face communication. Computers in Human Behavior, 44, 202–208.

Sheng, H., & Joginapelly, T. (2012). Effects of web atmospheric cues on users’ emotional responses in ecommerce. AIS Transactions on Human-Computer Interaction, 4(1), 1–24.

Shih, C.-H. I., Kowatsch, T., Tinschert, P., Barata, F., & Nißen, M. K. (2016). Towards the design of a smartphone-based biofeedback breathing training: Indentifying diaphragmatic breathing patterns from a smartphones’ microphone. MCIS 2016 Proceedings.

Shojaeizadeh, M., Djamasbi, S., & Trapp, A. (2015). Does pupillary data differ during fixations and saccades? Does it carry information about task demand? SIGHCI 2015 Proceedings, 9.

Shojaeizadeh, M., Djamasbi, S., Rochford, J., & Chen, P. (2017). Task condition and pupillometry. AMCIS 2017 Proceedings.

Siau, K., Zhao, Y., & Huang, L. (2014). A neuroscience analysis of information modeling constructs. PACIS 2018 Proceedings.

Siddike, M. A. K., & Kohda, Y. (2018). Towards a framework of trust determinants in people and cognitive assistants interactions. Hawaii International Conference on System Sciences 2018.

Silic, M., Cyr, D., Back, A., & Holzer, A. (2017). Effects of color appeal, perceived risk and culture on user’s decision in presence of warning banner message. Hawaii International Conference on System Sciences 2017.

Smith, J. N., Williams, J., & Pieron, T. M. (2021). Cognitive differences in offensive and defensive cyber work tasks. AMCIS 2021 Proceedings, 1135.

Sohn, B., Lim, H., & Choi, J. (2019). The prediction of sales volume and WoM effect through network structure and topic modeling on social media. PACIS 2019 Proceedings.

Söllner, M. (2020). Same same but different? A two-foci perspective on trust in information systems. Hawaii International Conference on System Sciences 2020.

Söllner, M., Hoffmann, A., Hoffmann, H., Wacker, A., & Leimeister, J. M. (2012). Understanding the formation of trust in IT artifacts. ICIS 2012 Proceedings.

Stana, R., & Nicolajsen, H. W. (2020). People on the other side are waiting: Work obligations and shame in ICT-related technostress. IRIS 2020 Proceedings.

Stana, R., & Nicolajsen, H. W. (2021). A cautionary tale: How co-constructed work obligations lead to ICT-related technostress. Hawaii International Conference on System Sciences 2021.

Stark, J., & Dörfel, D. (2021). Fast and effective stress relief in women through brainwave-entrainment technology in pandemics. ECIS 2021 Proceedings.

Steinfeld, N. (2016). “I agree to the terms and conditions” (How) Do users read privacy policies online? An eye-tracking experiment. Computers in Human Behavior, 55, 992–1000.

Steinfeld, N., Samuel-Azran, T., & Lev-On, A. (2016). User comments and public opinion: Findings from an eye-tracking experiment. Computers in Human Behavior, 61, 63–72.

Stryja, C., Dorner, V., & Riefle, L. (2017). Overcoming Innovation Resistance beyond Status Quo Bias – A Decision Support System Approach (Research-in-Progress). Hawaii International Conference on System Sciences 2017.

Tams, S. (2015). Challenges in technostress research: Guiding future work. AMCIS 2015 Proceedings.

Tams, S. (2017). Linking user age and stress in the interruption era: The role of computer experience. Hawaii International Conference on System Sciences 2017.

Tams, S., Hill, K., Ortiz de Guinea, A., Thatcher, J. B., & Grover, V. (2014). NeuroIS—Alternative or complement to existing methods? Illustrating the holistic rffects of neuroscience and self-reported data in the context of technostress research. Journal of the Association for Information Systems, 15(10), 723–753.

Taxén, L. (2018). Reconfiguring sociomateriality from a neurobiological perspective. Australasian Journal of Information Systems, 22.

Taxén, L., & Riedl, R. (2016). Understanding coordination in the information systems domain: Conceptualization and implications. Journal of Information Technology Theory and Application, 17(1), 5–40.

Teubner, T., Adam, M. T. P., & Riordan, R. (2015). The impact of computerized agents on immediate emotions, overall arousal and bidding behavior in electronic auctions. Journal of the Association for Information Systems, 16(10), 838–879.

Toreini, P., & Langner, M. (2019). Designing user-adaptive information dashboards: Considering limited attention and working memory. ECIS 2019 Proceedings.

Toreini, P., & Morana, S. (2017). Designing attention-aware business intelligence and analytics dashboards. In J. Parsons, J. Venable, T. Tuunanen, A. Maedche, J. vom Brocke, & A. Hevner (Eds.), Designing the Digital Transformation: 12th International Conference, DESRIST 2017, Karlsruhe, Germany, May 30 – June 1, 2017, Proceedings (Vol. 10243, pp. 64–72). Berlin, Heidelberg: Springer.

Totty, S., Li, H., Janz, B., & Zhang, C. (2020). Themes in information security research in the information systems discipline: A topic modeling approach. AMCIS 2020 Proceedings.

Tozman, T., Magdas, E. S., MacDougall, H. G., & Vollmeyer, R. (2015). Understanding the psychophysiology of flow: A driving simulator experiment to investigate the relationship between flow and heart rate variability. Computers in Human Behavior, 52, 408–418.

Tzafilkou, K., & Protogeros, N. (2017). Diagnosing user perception and acceptance using eye tracking in web-based end-user development. Computers in Human Behavior, 72, 23–37.

Vance, A. O., Anderson, B. B., Kirwan, C. B., & Eargle, D. (2014). Using measures of risk perception to predict information security behavior: Insights from electroencephalography (EEG). Journal of the Association for Information Systems, 15(10), 679–722.

Vance, A. O., Jenkins, J. L., Anderson, B. B., Bjornn, D. K., & Kirwan, C. B. (2018). Turning out security warnings: A longitudinal examination of habituation through fMRI, eye tracking, and field experiments. MIS Quarterly, 42(2), 355–380.

vom Brocke, J. (2014). Editorial: Welcoming contributions on topical themes in information systems research. Journal of Information Technology Theory and Application, 15(2), 1–4.

vom Brocke, J. (2017). Stimulating discourse on topical themes in information systems research. Journal of Information Technology Theory and Application, 18(1), 1–4.

vom Brocke, J., & Liang, T.-P. (2014). Guidelines for neuroscience studies in information systems research. Journal of Management Information Systems, 30(4), 211–234.

vom Brocke, J., Riedl, R., & Léger, P.-M. (2011). Neuroscience in design-oriented research: Exploring new potentials. In H. Jain, A. P. Sinha, & P. Vitharana (Eds.), Service-Oriented Perspectives in Design Science Research: Proceedings of DESRIST 2011 (Vol. 6629, pp. 427–439). Berlin, Heidelberg: Springer.

vom Brocke, J., Riedl, R., & Léger, P.-M. (2013). Application strategies for neuroscience in information systems design science research. Journal of Computer Information Systems, 53(3), 1–13.

Vornewald, K., Eckhardt, A., & Krönung, J. (2015). Emotions in information systems research – A five component view. Wirtschaftsinformatik 2015 Proceedings, 1756–1770.

Walden, E. A., Browne, G. J., & Oboyle, M. (2015). Computational thinking: Changes to the human connectome associated with learning to program. ICIS 2015 Proceedings.

Walden, E. A., Cogo, G. S., Lucus, D. J., Moradiabadi, E., & Safi, R. (2018). Neural correlates of multidimensional visualizations: An fMRI comparison of bubble and three-dimensional surface graphs using evolutionary theory. MIS Quarterly, 42(4), 1097–1116.

Wallace, S. (2017). Effect of EMR use on technostress and healthcare providers. MWAIS 2017 Proceedings.

Walterbusch, M., Gräuler, M., & Teuteberg, F. (2014). How trust is defined: A qualitative and quantitative analysis of scientific literature. AMCIS 2014 Proceedings.

Wang, C.-C., & Hsu, M.-C. (2014). An exploratory study using inexpensive electroencephalography (EEG) to understand flow experience in computer-based instruction. Information & Management, 51(7), 912–923.

Wang, H.-C., & Doong, H.-S. (2017). An exploratory study on consumers’ attention towards social media advertising: An electroencephalography approach. Hawaii International Conference on System Sciences 2017.

Wang, Q., Meng, L., Liu, M., Wang, Q., & Ma, Q. (2016). How do social-based cues influence consumers’ online purchase decisions? An event-related potential study. Electronic Commerce Research, 16(1), 1–26.

Wang, Q., Xu, Z., Cui, X., Wang, L., & Ouyang, C. (2017). Does a big duchenne smile really matter on ecommercewebsites? An Eye-Tracking Study in China. Electronic Commerce Research, 17(4), 609–626.

Wang, Q., Yang, S., Liu, M., Cao, Z., & Ma, Q. (2014). An eye-tracking study of website complexity from cognitive load perspective. Decision Support Systems, 62, 1–10.

Wang, W., & Skovira, R. J. (2017). Authenticity and social media. AMCIS 2017 Proceedings.

Wang, W.-T., Wang, B., & Wei, Y.-T. (2014). Examining the impacts of website complexities on user satisfaction based on the task-technology fit model: An experimental research using an eyetracking device. PACIS 2014 Proceedings.

Wang, Y., Guo, Y., & Song, J. (2018). Using image-based and text-based information for sales prediction: A deep neural network model. AMCIS 2018 Proceedings.

Wang, Z., Deng, H., Wang, N., & Ge, S. (2019). A review on cognitive neuroscience in information security behavior. WHICEB 2019 Proceedings, 24.

Warkentin, M., Walden, E. A., Johnston, A. C., & Straub, D. W. (2016). Neural correlates of protection motivation for secure IT behaviors: An fMRI examination. Journal of the Association for Information Systems, 17(3), 194–215.

Wastell, D. (2016). The Lagado daily news: “Scientists locate brain centre for information systems strategy” (31). UK Academy for Information Systems Conference Proceedings 2016, 44.

Watrobski, J., Jankowski, J., Jarczmarczyk, A., & Ziemba, P. (2017). Integration of eye-tracking based studies into e-commerce websites evaluation process with eQual and TOPSIS methods. In S. Wrycza & J. Maslankowski (Eds.): Information Systems: Research, Development, Applications, Education: 10th SIGSAND/PLAIS EuroSymposium 201r7, Gdansk, Poland, September 22, 2017, Proceedings (Vol. 300 pp. 56–80). Cham: Springer.

Weber, B., Pinggera, J., Neurauter, M., Zugal, S., Martini, M., Furtner, M., Sachse, P., & Schnitzer, D. (2016). Fixation patterns during process model creation: Initial steps toward neuro-adaptive process modeling environments. In T. X. Bui & R. H. Sprague (Eds.), Proceedings of HICSS 2016 (pp. 600–609). Piscataway, NJ: IEEE.

Weinert, C. (2018). Improving the IS literature rigor on habit by looking through the theoretical lens of the dual-process theory. DIGIT 2018 Proceedings.

Weinert, C., & El-Robrini, N. (2021). Challenge and hindrance coping: Explaining how users cope with positive and negative technostress. ECIS 2021 Proceedings.

Weinert, C., Maier, C., Laumer, S., & Weitzel, T. (2015). What happens when users are not able to perform coping mechanisms? An investigation of the habituation process. DIGIT 2015 Proceedings.

Wells, T. M., & Dennis, A. R. (2014). You said what? Assessing the impact of collaboration technologies and message characteristics using physiological measures. In T. X. Bui & R. H. Sprague (Eds.), Proceedings of HICSS 2014 (pp. 442–451). Piscataway, NJ: IEEE.

Wells, T. M., & Dennis, A. R. (2016). To email or not to email: The impact of media on psychophysiological responses and emotional content in utilitarian and romantic communication. Computers in Human Behavior,54, 1–9.

Westland, J. C. (2011). Affective data acquisition technologies in survey research. Information Technology and Management, 12(4), 387–408.

Winkler, R., Hobert, S., Fischer, T., Salovaara, A., Soellner, M., & Leimeister, J. M. (2020). Engaging learners in online video lectures with dynamically scaffolding conversational agents. ECIS 2020 Proceedings.

Wrzesien, M., Rodríguez, A., Rey, B., Alcañiz, M., Baños, R. M., & Vara, M. D. (2015). How the physical similarity of avatars can influence the learning of emotion regulation strategies in teenagers. Computers in Human Behavior, 43, 101–111.

Wu, M., Guo, X., Zhao, L. J., & Liang, L. (2017). Differential effects of instructor feedback and computerized feedback in online learning. ICIS 2017 Proceedings, 8.

Wu, Y.-L., & Chen, P.-C. (2016). The synesthesia effects of online advertising stimulus design on word-ofmouth and purchase intention: From the perspective of consumer olfactory and gustatory. AMCIS 2016 Proceedings.

Wu, Y.-L., & Hsiung, C.-Y. (2018). Understanding online produce cue effects on consumer behavior: Evidence from EEG data. AMCIS 2018 Proceedings.

Xiaoyu, M., & Jiang, Z. (2017). Does the activation make a difference? The effects of video initiating formats on video advertising effectiveness. ICIS 2017 Proceedings.

Xu, Q., & Riedl, R. (2011). Understanding online payment method choice: An eye-tracking study. ICIS 2011 Proceedings.

Xu, Q., Fei, M., & Tan, H. (2018). Gender differences in selective attention and shopping intention in the case of Taobao live-show: An eye-tracking study. WHICEB 2018 Proceedings.

Yang, S.-F. (2015). An eye-tracking study of the elaboration likelihood model in online shopping. Electronic Commerce Research and Applications, 14(4), 233–240.

Yang, S.-F., & Lin, H.-H. (2014). Effects of attribute framing varying with the elaboration in online shopping: An eye-tracking approach. In T. X. Bui & R. H. Sprague (Eds.), Proceedings of HICSS 2014 (pp. 3083–3092). Piscataway, NJ: IEEE.

Yang, Y.-C., Ying, H., Jin, Y., Cheng, H. K., & Liang, T.-P. (2021). Special issue editorial: Information systems research in the age of smart services. Journal of the Association for Information Systems, 22(3), 579–590.

Yen, M.-H., & Wu, Y.-T. (2017). The role of university students’ informal reasoning ability and disposition in their engagement and outcomes of online reading regarding a controversial issue: An eye tracking study. Computers in Human Behavior, 75, 14–24.

Yuan, L., Dennis, A. R., & Potter, R. (2016). Interacting like humans? Understanding the neurophysiological processes of anthropomorphism and consumer’s willingness to pay in online auctions. ICIS 2016 Proceedings.

Zafar, H., Randolph, A. B., & Martin, N. (2017). Toward a more secure HRIS: The role of HCI and unconscious behavior. AIS Transactions on Human-Computer Interaction, 9(1), 59–74.

Zhang, S. S., Adam, M. T. P., & Weinhardt, C. (2012). Humans versus agents: Competition in financial markets of the 21st century. ICIS 2012 Proceedings.

Zhang, S., & Milic, N. (2015). Carryover effects of system-unrelated emotions on adoption of information systems. ICIS 2015 Proceedings.

Zhang, W., Jiang, Q., & Peng, C.-H. (2019). Unfolding the clickbait: A siren´s call in the attention economy. ECIS 2019 Proceedings.

Zhang, Z., & Teo, H.-H. (2014a). Metacognition in B2C E-Commerce: A cognitive neuroscience perspective. PACIS 2014 Proceedings.

Zhang, Z., & Teo, H.-H. (2014b). An fMRI-based NeuroIS research on metacognition in the context of e-commerce. AMCIS 2014 Proceedings, 8.

Zhou, J., Sun, J., Chen, F., Wang, Y., Taib, R., Khawaji, A., & Li, Z. (2015). Measurable decision making with GSR and pupillary analysis for intelligent user interface. ACM Transactions on Computer-Human Interaction, 21(6), 1–23.

Zugal, S., & Pinggera, J. (2014). Low–Cost Eye–Trackers: Useful for information systems research? In L. Iliadis, M. Papazoglou, & K. Pohl (Eds.), Advanced Information Systems Engineering Workshops: CAiSE 2014 International Workshops, Thessaloniki, Greece, June 16-20, 2014. Proceedings (Vol. 178, pp. 159–170). Cham: Springer

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