Neuro IS: The Potential of Cognitive Neuroscience for Information Systems Research

This paper proposes the idea of applying cognitive neuroscience theories, methods, and tools in Information Systems (IS) research (termed “Neuro-IS”), and introduces a research agenda for exploring the potential of cognitive neuroscience for IS research. Recent cognitive neuroscience discoveries have clarified the neural bases of human psychological processes and behavior and provided insights that may advance progress on core IS research questions on designing and deploying IT tools, technology adoption and use, e-commerce, virtual teams, human-computer interaction, decision making, and information sharing in organizational and market environments, among others. Functional neuroimaging techniques (fMRI, PET, EEG, MEG) have led to a better understanding of the brain areas and structures involved when people make decisions, deal with risk, uncertainty, and ambiguity, respond to rewards and social influences, trust and distrust, cooperate and compete, and acquire and process information. Similar to economics, marketing, and psychology, IS research may also benefit from integrating some of these new discoveries in cognitive neuroscience into IS theories about how IT supports human processes. Moreover, the use of neuroimaging techniques in IS research could complement traditional methods and data, such as self-report surveys, interviews, lab and field experiments, and archival data to integrate new objective sources of brain data for IS theory development and testing. This paper provides several examples of potentially fertile intersections of cognitive neuroscience and IS research on such areas as technology adoption and use, e-commerce, and group support systems. The paper also overviews today’s functional neuroimaging tools and gives guidelines on how IS researchers can utilize these tools to obtain additional new insights into IS phenomena. Finally, it discusses the implications of incorporating cognitive neuroscience theories and functional neuroimaging tools in neuro-IS research, aiming to enhance the diversity of theories, methods, tools, and data in the portfolio of IS researchers.

[1]  Tim Ambler,et al.  The distributed neuronal systems supporting choice‐making in real‐life situations: differences between men and women when choosing groceries detected using magnetoencephalography , 2004, The European journal of neuroscience.

[2]  M. Paulus,et al.  Neurobiology of Decision Making: A Selective Review from a Neurocognitive and Clinical Perspective , 2005, Biological Psychiatry.

[3]  D. Meyer,et al.  Neuroeconomics: The Consilience of Brain and Decision , 2004 .

[4]  C Büchel,et al.  Painful stimuli evoke different stimulus-response functions in the amygdala, prefrontal, insula and somatosensory cortex: a single-trial fMRI study. , 2002, Brain : a journal of neurology.

[5]  Tim Ambler,et al.  Magnetoencephalographic Signals Identify Stages in Real-Life Decision Processes , 2001, Neural plasticity.

[6]  Anol Bhattacherjee,et al.  Influence Processes for Information Technology Acceptance: An Elaboration Likelihood Model , 2006, MIS Q..

[7]  Franziska Marquart,et al.  Communication and persuasion : central and peripheral routes to attitude change , 1988 .

[8]  J. O'Doherty,et al.  Encoding Predictive Reward Value in Human Amygdala and Orbitofrontal Cortex , 2003, Science.

[9]  Andreas A. Ioannides,et al.  Real Time Processing of Affective and Cognitive Stimuli in the Human Brain Extracted from MEG Signals , 2000, Brain Topography.

[10]  Christopher D. Frith,et al.  Imaging the Intentional Stance in a Competitive Game , 2002, NeuroImage.

[11]  Colin Camerer,et al.  Neural Systems Responding to Degrees of Uncertainty in Human Decision-Making , 2005, Science.

[12]  Richard P. Bagozzi,et al.  The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift , 2007, J. Assoc. Inf. Syst..

[13]  M. Posner,et al.  Cognitive and emotional influences in anterior cingulate cortex , 2000, Trends in Cognitive Sciences.

[14]  Raymond J. Dolan,et al.  Anxiety Reduction through Detachment: Subjective, Physiological, and Neural Effects , 2005, Journal of Cognitive Neuroscience.

[15]  Jana Schaich Borg,et al.  Consequences, Action, and Intention as Factors in Moral Judgments: An fMRI Investigation , 2006, Journal of Cognitive Neuroscience.

[16]  Colin Camerer.  Strategizing in the Brain , 2003, Science.

[17]  Rebecca Elliott,et al.  Executive functions and their disorders. , 2003, British medical bulletin.

[18]  Michael P. Milham,et al.  Distinct neural mechanisms of risk and ambiguity: A meta-analysis of decision-making , 2006, NeuroImage.

[19]  C. Frith,et al.  Development and neurophysiology of mentalizing. , 2003, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[20]  David Laibson,et al.  Experienced Utility and Objective Happiness: A Moment-Based Approach , 2001 .

[21]  M. Raichle,et al.  Integration of emotion and cognition in the lateral prefrontal cortex , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[22]  J. O'Doherty,et al.  Automatic and intentional brain responses during evaluation of trustworthiness of faces , 2002, Nature Neuroscience.

[23]  James K Rilling,et al.  The neural correlates of theory of mind within interpersonal interactions , 2004, NeuroImage.

[24]  G. McCarthy,et al.  Decisions under Uncertainty: Probabilistic Context Influences Activation of Prefrontal and Parietal Cortices , 2005, The Journal of Neuroscience.

[25]  Andrew N. Meltzoff,et al.  The neural bases of cooperation and competition: an fMRI investigation , 2004, NeuroImage.

[26]  Kip Smith,et al.  Neuronal substrates for choice under ambiguity, risk, gains, and losses , 2001, NeuroImage.

[27]  Angelika Dimoka,et al.  The Nature and Role of Feedback Text Comments in Online Marketplaces: Implications for Trust Building, Price Premiums, and Seller Differentiation , 2006, Inf. Syst. Res..

[28]  S. Inati,et al.  An fMRI study of reward-related probability learning , 2005, NeuroImage.

[29]  M. Just,et al.  The framing effect and risky decisions: Examining cognitive functions with fMRI , 2005 .

[30]  S. Braeutigam.  Neuroeconomics—From neural systems to economic behaviour , 2005, Brain Research Bulletin.

[31]  P. Kenning,et al.  NeuroEconomics: An overview from an economic perspective , 2005, Brain Research Bulletin.

[32]  P. Mitchell,et al.  Siblings in the development of executive control and a theory of mind , 2000 .

[33]  M. Delgado,et al.  Modulation of Caudate Activity by Action Contingency , 2004, Neuron.

[34]  Henrik Walter,et al.  Cultural objects modulate reward circuitry , 2002, Neuroreport.

[35]  J. Hirsch,et al.  A Neural Representation of Categorization Uncertainty in the Human Brain , 2006, Neuron.

[36]  A. Damasio,et al.  Insensitivity to future consequences following damage to human prefrontal cortex , 1994, Cognition.

[37]  Sharon L. Thompson-Schill,et al.  Conceptual Representations of Action in the Lateral Temporal Cortex , 2005, Journal of Cognitive Neuroscience.

[38]  Brian Knutson,et al.  Games and Economic Behavior , 2003 .

[39]  P. Pavlou,et al.  Understanding and Mitigating Uncertainty in Online Environments: A Principal-Agent Perspective , 2006 .

[40]  Brian Knutson,et al.  Amygdalar Recruitment during Anticipation of Monetary Rewards , 2003, Annals of the New York Academy of Sciences.

[41]  B. Mesquita,et al.  Adjustment to Chronic Diseases and Terminal Illness Health Psychology : Psychological Adjustment to Chronic Disease , 2006 .

[42]  C. Frith,et al.  Meeting of minds: the medial frontal cortex and social cognition , 2006, Nature Reviews Neuroscience.

[43]  Meghana Bhatt,et al.  Self-Referential Thinking and Equilibrium as States of Mind in Games: Fmri Evidence , 2005, Games Econ. Behav..

[44]  Olaf Sporns,et al.  A Large-scale Neurocomputational Model of Task-oriented Behavior Selection and Working Memory in Prefrontal Cortex , 2006 .

[45]  Hilke Plassmann,et al.  Nonlinear Responses Within the Medial Prefrontal Cortex Reveal When Specific Implicit Information Influences Economic Decision Making , 2005, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[46]  John R. Anderson,et al.  From recurrent choice to skill learning: a reinforcement-learning model. , 2006, Journal of experimental psychology. General.

[47]  M. Siegal,et al.  Neural systems involved in 'theory of mind' , 2002, Nature Reviews Neuroscience.

[48]  M. Gluck,et al.  Human midbrain sensitivity to cognitive feedback and uncertainty during classification learning. , 2004, Journal of neurophysiology.

[49]  Michael E. Hasselmo,et al.  A Model of Prefrontal Cortical Mechanisms for Goal-directed Behavior , 2005, Journal of Cognitive Neuroscience.

[50]  S. Quartz,et al.  Getting to Know You: Reputation and Trust in a Two-Person Economic Exchange , 2005, Science.

[51]  A. Damasio.  The somatic marker hypothesis and the possible functions of the prefrontal cortex. , 1996, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[52]  Angelika Dimoka,et al.  Modeling the Nonlinear Properties of the in vitro Hippocampal Perforant Path-Dentate System Using Multielectrode Array Technology , 2008, IEEE Transactions on Biomedical Engineering.

[53]  Ming Hsu,et al.  Ambiguity Aversion in the Brain , 2004 .

[54]  A. Tversky,et al.  Prospect theory: an analysis of decision under risk — Source link , 2007 .

[55]  John R. Rossiter,et al.  Brain-Imaging Detection of Visual Scene Encoding in Long-term Memory for TV Commercials , 2001, Journal of Advertising Research.

[56]  H. Damasio,et al.  Characterization of the decision-making deficit of patients with ventromedial prefrontal cortex lesions. , 2000, Brain : a journal of neurology.

[57]  Jonathan D. Cohen,et al.  Neuroeconomics: cross-currents in research on decision-making , 2006, Trends in Cognitive Sciences.

[58]  D. Yves von Cramon,et al.  Why am I unsure? Internal and external attributions of uncertainty dissociated by fMRI , 2004, NeuroImage.

[59]  S. Hamann,et al.  Positive and negative emotional verbal stimuli elicit activity in the left amygdala , 2002, Neuroreport.

[60]  D. Kahneman,et al.  Functional Imaging of Neural Responses to Expectancy and Experience of Monetary Gains and Losses tasks with monetary payoffs , 2001 .

[61]  M. Frank,et al.  Anatomy of a decision: striato-orbitofrontal interactions in reinforcement learning, decision making, and reversal. , 2006, Psychological review.

[62]  Richard S. J. Frackowiak,et al.  Other minds in the brain: a functional imaging study of “theory of mind” in story comprehension , 1995, Cognition.

[63]  W. Schwindt,et al.  Evidence for a neural correlate of a framing effect: Bias-specific activity in the ventromedial prefrontal cortex during credibility judgments , 2005, Brain Research Bulletin.

[64]  Cameron S. Carter,et al.  Separating semantic conflict and response conflict in the Stroop task: A functional MRI study , 2005, NeuroImage.