NeuroIS: A state-of-the-art analysis
Subject Areas : Decision support systems
Nahid Entezarian
1
*
,
Mohammad Mehraeen
2
1 - Department of Management, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
2 - Department of Management, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran
Keywords: NeuroIS, Information Systems (IS), Human-Computer Interaction (HCI), Neuroscience, State-of-the-art,
Abstract :
NeuroIS, the interdisciplinary field merging neuroscience and information systems, has recently garnered significant attention for its potential to enhance our understanding of human behavior in the tech context. This analysis delves into the current NeuroIS research landscape, examining key trends, methodologies, and discoveries in the field. By synthesizing recent research, the aim is to shed light on potential applications of NeuroIS across various domains and identify future research directions in this rapidly evolving field. Currently an emerging area within information systems, NeuroIS has a limited number of studies available. To aid researchers entering NeuroIS, we have analyzed 244 articles and summarize their findings to give more details of NeuroIS studies. This examination of literature reveals various avenues for future NeuroIS exploration, including influencing factors, measurement tools, and subject areas. We believe that our work will offer valuable insights for upcoming NeuroIS studies. The fusion of neuroscience and information systems holds immense potential for uncovering profound insights into human-computer interaction, decision-making processes, cognitive responses to technology, and enhancement of user experiences. As the field progresses, researchers are increasingly exploring innovative methods such as functional magnetic resonance imaging (fMRI), electroencephalography (EEG), and eye-tracking to unravel the complex mechanisms underlying human cognition in the digital age. By delving into the neurobiological basis of technology-mediated interactions, NeuroIS presents opportunities for designing more intuitive, efficient, and user-centric systems. With numerous uncharted research paths ahead, the future of NeuroIS looks promising, signaling a potential shift in how we understand and utilize information systems to impact human behaviors and decisions.
of emoticons in computer-mediated communi –cation”. Frontiers in psychology, 7, 2017, p.2061.
Ahn, J.-H., Bae, Y.-S., Ju, J., and Oh, W. Attention adjustment, renewal, and equilibrium seeking in online search: an eye-tracking approach. J. Manage. Inf. Syst. 35, 2018, PP.1218–1250.
https://doi.org /10.1080/07421222.2018.1523595
Anderson, B., Vance, A., Kirwan, C. B., Jenkins, J. L., & Eargle, D. From Warning to Wallpaper: Why the Brain Habituates to Security Warnings, 2016a. https://doi.org/10.1080/07421222.2016.1243947
Anderson, B. B., Jenkins, J. L., Vance, A., Kirwan, C. B., & Eargle, D. Your memory is working against you: How eye tracking and memory explain habituation to security warnings. Decision Support Systems, 92, 2016b, PP. 3-13. https://doi.org/10.1016/j.dss.2016.09.010
Benedetto, S., Carbone, A., Drai-Zerbib, V., Pedrotti, M., & Baccino, T. Effects of luminance and illuminance on visual fatigue and arousal during digital reading. Computers in human behavior, 41, 2014, PP.112-119.
Beraldo, G., Tonin, L., Cesta, A., & Menegatti, E. Brain-driven telepresence robots: a fusion of user’s commands with robot’s intelligence. In International Conference of the Italian Association for Artificial Intelligence, Cham: Springer International Publishing, 2020, November, pp. 235-248.
Berger, C., Knierim, M. T., & Weinhardt, C. Detecting flow experiences in the field using video-based head and face activity recognition: a pilot study. In Information Systems and Neuroscience: NeuroIS Retreat 2021, Springer International Publishing. 2021, pp. 120-127.
Blicher, A., Gleasure, R., Constantiou, I., & Clement, J. How Does the Content of Crowdfunding Campaign Pictures Impact Donations for Cancer Treatment. In NeuroIS Retreat, Cham: Springer International Publishing, 2022, PP. 61-71
Bosshard, S., & Walla, P. Sonic Influence on Initially Neutral Brands: Using EEG to Unveil the Secrets of Audio Evaluative Conditioning. Brain Sciences, 13(10), 2023, P.1393. https://doi.org/10.3390/brainsci13101393
Brown, S. A., & Sias, R. W. THE FAULT IN OUR STARS: MOLECULAR GENETICS AND INFORMATION TECHNOLOGY USE. MIS Quarterly, 2023, 47(2). https://doi.org/10.25300/MISQ/2022/17075
Browne, G. J., & Walden, E. A. Is There a Genetic Basis for Information Search Propensity? A Genotyping Experiment. MIS Quarterly, 2020, 44(2).
Camargo-Vargas, D., Callejas-Cuervo, M., & Alarcón-Aldana, A. C. “Brain-computer interface prototype to support upper limb rehabilitation processes in the human body”. International Journal of Information Technology, 2023, 15(7), pp. 3655-3667.
Chang, M., Pavlevchev, S., Flöck, A. N., & Walla, P. “The effect of body positions on word-recognition: a multi-methods NeuroIS study”. In Information Systems and Neuroscience: NeuroIS Retreat 2019, Springer International Publishing, 2020, pp. 327-335.
Demazure, T., Karran, A. J., Boasen, J., Léger, P. M., & Sénécal, S. “Distributed remote EEG data collection for NeuroIS research: a methodological framework”. In International Conference on Human-Computer Interaction, Cham: Springer International Publishing. 2021, July, pp.3-22.
Dimoka, A., Pavlou, P. A., & Davis, F. D. “Research commentary—NeuroIS: The potential of cognitive neuroscience for information systems research”. Information Systems Research, 2011, 22(4), pp.687-702.
Dimoka, A. “What does the brain tell us about trust and distrust? Evidence from a functional neuroimaging study”. MIS Quarterly, 2010, pp.373-396.
Dimoka, A., Pavlou, P. A., & Davis, F. D.” NEURO-IS: The potential of cognitive neuroscience for information systems research”. ICIS 2007 Proceedings, Twenty Eighth International Conference on Information Systems, 2007, pp. 1 –20.
Dorner, V., & Uribe Ortiz, C. E. “New Measurement Analysis for Emotion Detection Using ECG Data”. In NeuroIS Retreat, Cham: Springer International Publishing, 2022, pp. 219-227
Fadel, K. J., Meservy, T. O., & Kirwan, C. B. “Information filtering in electronic networks of practice: An fMRI investigation of expectation (dis) confirmation”. Journal of the Association for Information Systems, 2022, 23(2), pp. 491-520. https://doi.org/10.17705/1jais.00731
Fanfan, E. R., Blankenship, J., Chakravarty, S., & Randolph, A. B. “Enhancing Wireless Non-invasive Brain-Computer Interfaces with an Encoder/Decoder Machine Learning Model Pair”. In NeuroIS Retreat, Cham: Springer International Publishing, 2022, pp. 53-59
Giroux, Félix, et al. “Guidelines for collecting automatic facial expression detection data synchronized with a dynamic stimulus in remote moderated user tests”. In: Human-Computer Interaction. Theory, Methods and Tools: Thematic Area, HCI 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021, Proceedings, Part I 23. Springer International Publishing, 2021. pp. 243-254.
Gordon, N., & Moore, K. W. “The Effects of Artificial Intelligence (AI) Enabled Personality Assessments during Team Formation on Team Cohesion”. NeuroIS Retreat, 2022, pp.311-318.
Gregor, S., Lin, A. C., Gedeon, T., Riaz, A., & Zhu, D. “Neuroscience and a nomological network for the understanding and assessment of emotions in information systems research”. Journal of Management Information Systems, 2014, 30(4), pp.13-48.
Greif-Winzrieth, A., Peukert, C., Toreini, P., & Weinhardt, C. “The View of Participants on the Potential of Conducting NeuroIS Studies in the Wild”. In NeuroIS Retreat, Cham: Springer International Publishing, 2022, pp. 123-131.
Guertin-Lahoud, S., Coursaris, C., Boasen, J., Demazure, T., Chen, S. L., Dababneh, N. ... & Leger, P. M. Evaluating user experience in multisensory meditative virtual reality: A pilot study, 2021.
Hamidi, Hodjat. “Safe use of the internet of things for privacy enhancing". Journal of Information Systems and Telecommunication, 2016, 4.3, pp. 145-151.
He, W., Qi, A., Wang, Q., Wu, H., Zhang, Z., Gu, R., & Luo, W. “Abnormal reward and punishment sensitivity associated with Internet addicts”. Computers in human behavior, 2017, 75, pp. 678-683.
Hu, Q., West, R., & Smarandescu, L. “The role of self-control in information security violations: Insights from a cognitive neuroscience perspective”. Journal of Management Information Systems, 2015, 31(4), pp.6-48. https://doi.org/10.1016/j.chb.2010.07.011
Hudon, A., Demazure, T., Karran, A., Léger, P. M., & Sénécal, S. Explainable artificial intelligence (XAI): how the visualization of AI predictions affects user cognitive load and confidence. In Information Systems and Neuroscience: NeuroIS Retreat 2021, Springer International Publishing, 2021, pp. 237-246
Jones, T., Randolph, A. B., Cortes, K., & Terrell, C. “Using NeuroIS tools to understand how individual characteristics relate to cognitive behaviors of students”. In Information Systems and Neuroscience: NeuroIS Retreat 2020, Springer International Publishing, 2020, pp. 181-184.
Kalischko, T., & Riedl, R. “Physiological Measurement in the Research Field of Electronic Performance Monitoring: Review and a Call for NeuroIS Studies”. Information Systems and Neuroscience: NeuroIS Retreat 2020, 2020, pp.233-243.
Kirby, B., Malley, K., & West, R. “Neural activity related to information security decision making: effects of who is rewarded and when the reward is received”. In Information Systems and Neuroscience: NeuroIS Retreat 2018. Springer International Publishing, 2019, pp. 19-27
Kirwan, B., Anderson, B., Eargle, D., Jenkins, J., & Vance, A.”Using fMRI to measure stimulus generalization of software notification to security warnings”. In Information Systems and Neuroscience: NeuroIS Retreat 2019, Springer International Publishing, 2020, pp. 93-99
Lakhiwal, A., Bala, H., & Léger, P. M. “Ambivalence is better than indifference: behavioral and neurophysiological assessment of ambivalence in online environments”. Forthcoming, MIS Quarterly, 2022.
Léné, P., Karran, A. J., Labonté-Lemoyne, E., Sénécal, S., Fredette, M., Johnson, K. J., & Léger, P. M. “Wavelet Transform Coherence: An Innovative Method to Investigate Social Interaction in NeuroIS”. In Information Systems and Neuroscience: NeuroIS Retreat 2019, Springer International Publishing, 2020, pp. 147-154
Liapis, C. “A primer to human threading”. Computers in human behavior, 2011, 27(1), pp.138-143.
LIMA BAIMA, R., Berto, L., & Roth, T. “Expanding the Scope-Cognitive Robotics Meets NeuroIS”. Lecture Notes in Information Systems and Organisation, 2024.
Lin, C. L., Chen, Z., Jiang, X., Chen, G. L., & Jin, P.” Roles and research trends of neuroscience on major information systems journal: a bibliometric and content analysis”. Frontiers in Neuroscience, 2022, 16, pp. 872532.
Liu, W., Cao, Y., & Proctor, R. W.”The roles of visual complexity and order in first impressions of webpages: An ERP study of webpage rapid evaluation”. International Journal of Human–Computer Interaction, 2022, 38(14), pp. 1345-1358.
Lutz, B., Adam, M. T., Feuerriegel, S., Pröllochs, N., & Neumann, D.”Affective information processing of fake news: Evidence from NeuroIS”, European Journal of Information Systems, 2023, pp. 1-20.
Lutz, B., Adam, M. T., Feuerriegel, S., Pröllochs, N., & Neumann, D.”Identifying linguistic cues of fake news associated with cognitive and affective processing: Evidence from NeuroIS”. In Information Systems and Neuroscience: NeuroIS Retreat 2020, Springer International Publishing, 2020, pp. 16-23.
Lux, E., Hawlitschek, F., Adam, M. T., & Pfeiffer, J. “Using live biofeedback for decision support: Investigating influences of emotion regulation in financial decision making”, 2015.
Mai, B., & Kim, H. “The Relationships Between Emotional States and Information Processing Strategies in IS Decision Support—A NeuroIS Approach”. In Information Systems and Neuroscience: NeuroIS Retreat 2019, Springer International Publishing, 2020, pp. 337-343
Mannina, S., & Addas, S. “Mixed Emotions: Evaluating Reactions to Dynamic Technology Feedback with NeuroIS”. In NeuroIS Retreat. Cham: Springer International Publishing, 2022, pp. 201-209
Milic, N. “Consumer grade brain-computer interfaces: An entry path into NeuroIS Domains”. In Information Systems and Neuroscience: Gmunden Retreat on NeuroIS 2016. Springer International Publishing. 2017, pp. 185-193.
Mohammadi, Mohammad Reza; Raie, Abolghasem A. “Pose-invariant eye gaze estimation using geometrical features of iris and pupil images”. Journal of Information Systems and Telecommunication (JIST), 2013, 3, p. 1.
Nadj, M., Rissler, R., Adam, M. T., Knierim, M. T., Li, M. X., Maedche, A., & Riedl, R. “WHAT DISRUPTS FLOW IN OFFICE WORK? THE IMPACT OF FREQUENCY AND RELEVANCE OF IT-MEDIATED INTERRUPTIONS”. MIS Quarterly, 2023, 47(4).
Nguyen, T. A., Coursaris, C. K., Léger, P. M., Sénécal, S., & Fredette, M. “Effectiveness of banner ads: An eye tracking and facial expression analysis”. In HCI in Business, Government and Organizations: 7th International Conference, HCIBGO 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings 22, Springer International Publishing, 2020, pp. 445-455.
Nissen, A., & Krampe, C. “Exploring Gender Differences on eCommerce Websites: A Behavioral and Neural Approach Utilizing fNIRS”. In Information Systems and Neuroscience: NeuroIS Retreat 2020. Springer International Publishing, 2020, pp. 220-232.
Nissen, A., Obermeier, G., Gier, N. R., Schütte, R., & Auinger, A. “Consumers Prefer Abstract Design in Digital Signage: An Application of Fuzzy-Trace Theory in NeuroIS”. In Information Systems and Neuroscience: NeuroIS Retreat 2021 (pp. 148-161). Springer International Publishing, 2021, pp. 148-161
Pavlou, P., Davis, F., & Dimoka, A. “Neuro IS: the potential of cognitive neuroscience for information systems research”. ICIS 2007 Proceedings, 2007, 122.
Popp, F., Lutz, B., & Neumann, D.”Information Overload and Argumentation Changes in Product Reviews: Evidence from NeuroIS”. In NeuroIS Retreat, Cham: Springer International Publishing, 2022a, pp. 9-21https://doi.org/10.1007/978-3-031-13064-9_2
Quazilbash, N. Z., Asif, Z., & Rizvi, S. “Variations in Neural Correlates of Human Decision Making–a Case of Book Recommender Systems”. KSII Transactions on Internet & Information Systems, 2023, 17(3).
Randolph, A., Mekbib, S., Calvert, J., Cortes, K., & Terrell, C. “Application of NeuroIS tools to understand cognitive behaviors of student learners in biochemistry”. In Information Systems and Neuroscience: NeuroIS Retreat 2019. Springer International Publishing, 2020, pp. 239-243.
Randolph, Adriane; Karmakar, Saurav; and Jackson, Melody, "Towards Predicting Control of a Brain-Computer Interface". ICIS 2006 Proceedings, 2006, P.53. https://aisel.aisnet.org/icis2006/53
Riaz, A., Gregor, S., Dewan, S., & Xu, Q. “The interplay between emotion, cognition and information recall from websites with relevant and irrelevant images: A Neuro-IS study”. Decision Support Systems, 2018, 111, pp.113-123.
Riedl, R. “On the biology of technostress: literature review and research agenda”. ACM SIGMIS database: the DATABASE for advances in information systems, 2012, 44(1), pp.18-55.
Riedl, R., & Fischer, T. “System response time as a stressor in a digital world: Literature review and theoretical model”. In HCI in Business, Government, and Organizations: 5th International Conference, HCIBGO 2018, Held as Part of HCI International 2018, Las Vegas, NV, USA, July 15-20, 2018, Proceedings 5. Springer International Publishing. 2018, pp. 175-186. https://doi.org/10.1007/978-3-319-91716-0_14
Riedl, R., & Léger, P. M. “Fundamentals of neuroIS”. Studies in neuroscience, psychology and behavioral economics, 2016, p.127.
Riedl, R., Fischer, T., Léger, P. M., & Davis, F. D. "A decade of NeuroIS research: progress, challenges, and future directions". ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 2020, 51(3), 13-54.
Riedl, R., Léger, P. M., Riedl, R., & Léger, P. M. “Introduction to NeuroIS”. Fundamentals of NeuroIS: Information Systems and the Brain, 2016, pp. 1-24..
Riedl, R., Mohr, P. N., Kenning, P. H., Davis, F. D., & Heekeren, H. R. “Trusting humans and avatars: A brain imaging study based on evolution theory”. Journal of Management Information Systems, 2014, pp.83-114.
Roselli, L. R. P., & de Almeida, A. T. "Improvements in the FITradeoff Decision Support System for ranking order problematic based in a behavioral study with NeuroIS tools". In NeuroIS Retreat, Cham: Springer International Publishing, 2020, pp. 121-132. https://doi.org/10.1007/978-3-030-60073-0_14
Salahshour Rad, M., Nilashi, M., & Mohamed Dahlan, H. "Information technology adoption: a review of the literature and classification". Universal Access in the Information Society, 2018, 17, 361-390.
Sassi, I. B., Mellouli, S., & Yahia, S. B. “Context-aware recommender systems in mobile environment: On the road of future research. Information Systems, 2017, 72, pp.27-61.
Schenkluhn, M., Peukert, C., & Weinhardt, C. “A Look behind the Curtain: Exploring the Limits of Gaze Typing”. In NeuroIS Retreat, Cham: Springer International Publishing, 2022, pp. 251-259.
Stangl, F. J., & Riedl, R. “Measurement of heart rate and heart rate variability in NeuroIS research: Review of empirical results”. NeuroIS Retreat, 2022a, pp. 285-299. https://doi.org/10.1007/978-3-031-13064-9_29
Stangl, F. J., & Riedl, R. “Measurement of heart rate and heart rate variability with wearable devices: A systematic review, 2022b.
Stangl, F. J., & Riedl, R. “Measurement of heart rate and heart rate variability: A review of NeuroIS research with a focus on applied methods”. NeuroIS Retreat, 2022c, pp. 269-283. https://doi.org/10.1007/978-3-031-13064-9_28
Subramaniam, K., Boasen, J., Giroux, F., Sénécal, S., Léger, P. M., & Paquette, M. “Increased Audiovisual Immersion Associated with Mirror Neuron System Enhancement Following High Fidelity Vibrokinetic Stimulation”. In NeuroIS Retreat, Cham: Springer International Publishing, 2022, pp. 81-88.
Taffese, T. “A review of using EEG and EMG psychophysiological measurements in user experience research”, 2017.
Vom Brocke, J., Hevner, A., Léger, P. M., Walla, P., & Riedl, R. “Advancing a NeuroIS research agenda with four areas of societal contributions”. European Journal of Information Systems, 2020, 29(1), pp. 9-24.
Vom Brocke, J., & Liang, T. P. “Guidelines for neuroscience studies in information systems research”. Journal of Management Information Systems, 2014, 30(4), pp. 211-234. https://doi.org/10.2753/MIS0742-1222300408
Vom Brocke, J., Riedl, R., & Léger, P. M. “Application Strategies for Neuroscience in Information Systems Design Science Research”. J. Comput. Inf. Syst, 2013, 53(3), 1-13.
Wang, Q., Meng, L., Liu, M., Wang, Q., & Ma, Q. “How do social-based cues influence consumers’ online purchase decisions? An event-related potential study”. Electronic Commerce Research, 2016, 16, 1-26.
Walla, P. “Affective processing guides behavior and emotions communicate feelings: Towards a guideline for the NeuroIS community”. In Information Systems and Neuroscience: Gmunden Retreat on NeuroIS 2017, Springer International Publishing. 2018, pp. 141-150.
Wrzesien, M., Rodríguez, A., Rey, B., Alcañiz, M., Baños, R. M., & Vara, M. D. How the physical similarity of avatars can influence the learning of emotion regulation strategies in teenagers. Computers in Human Behavior, 2015, 43, pp.101-111.
Xiong, J., & Zuo, M. “What does existing NeuroIS research focus on?” Information systems, 2020, 89, pp. 101462. https://doi.org/10.1016/j.is.2019.101462
Yan, W., Zhang, M., & Liu, Y. “Regulatory effect of drawing on negative emotion: a functional near-infrared spectroscopy study”. The Arts in Psychotherapy, 2021, 74, 101780.
Uddin, Jia. “An Autoencoder based Emotional Stress State Detection Approach by using Electroencephalography Signals”. Journal of Information Systems and Telecommunication (JIST), 2023, 1.41, p. 24.
Zazon, D., Fink, L., Gordon, S., & Nissim, N. “Can NeuroIS improve executive employee recruitment? Classifying levels of executive functions using resting state EEG and data science methods”. Decision Support Systems, 2023, 168, 113930.
Zhou, F., Ji, Y., & Jiao, R. J. “Prospect-theoretic modeling of customer affective-cognitive decisions under uncertainty for user experience design”. IEEE Transactions on Human-Machine Systems, 2014, 44(4), 468-483.