Cognitive Neuroscience in Information Systems Research

This paper reviews cognitive neuroscience and several neurophysiological tools e.g., fMRI, PET, EEG, MEG, and eye tracking. The strengths and weaknesses of such tools for information systems research are presented. The paper provides examples of existing cognitive neuroscience studies in varies areas, such as neuroeconomics, neuromarketing, and eye tracking. In addition, this paper provides an overview of brain areas that response to various mental processes, and discusses the localization and functionality of each brain area. Because of the popularity of eye-tracking research in information systems, measurements and metrics related and derived from eye-tracking technique e.g., fixation, saccades and scanpath are described and discussed in this paper. Opportunities for applying cognitive neuroscience techniques to IS research as well as future research directions are also discussed.

[1]  Joseph H. Goldberg,et al.  Chapter 23 – Eye Tracking in Usability Evaluation: A Practitioner's Guide , 2003 .

[2]  K. Siau,et al.  Cognitive mapping techniques for user-database interaction , 2006, IEEE Transactions on Professional Communication.

[3]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[4]  A. Simmons,et al.  Selective activation of the nucleus accumbens during risk-taking decision making , 2004, Neuroreport.

[5]  Jay R. Galbraith Organization Design: An Information Processing View , 1974 .

[6]  Linden J. Ball,et al.  An Eye Movement Analysis of Web Page Usability , 2002 .

[7]  Paul A. Pavlou,et al.  The 'Third Hand': IT-Enabled Competitive Advantage in Turbulence Through Improvisational Capabilities , 2009, Inf. Syst. Res..

[8]  Keng Siau,et al.  Improving the quality of conceptual modeling using cognitive mapping techniques , 2005, Data Knowl. Eng..

[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]  Charles Young,et al.  Brain Waves, Picture Sorts®, and Branding Moments , 2002, Journal of Advertising Research.

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

[12]  Jay R. Galbraith Organization Design , 1977 .

[13]  Linden J. Ball,et al.  In Search of Salience: A Response-time and Eye-movement Analysis of Bookmark Recognition , 2004, BCS HCI.

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

[15]  K. Rayner Eye movements in reading and information processing: 20 years of research. , 1998, Psychological bulletin.

[16]  Aldo Rustichini,et al.  Neuroeconomics: Present and future , 2005, Games Econ. Behav..

[17]  Angelika Dimoka,et al.  THE POTENTIAL OF COGNITIVE NEUROSCIENCE FOR INFORMATION SYSTEMS RESEARCH , 2008 .

[18]  Angelika Dimoka,et al.  Research Commentary - NeuroIS: The Potential of Cognitive Neuroscience for Information Systems Research , 2011, Inf. Syst. Res..

[19]  A. Inhoff,et al.  Chapter 2 – Definition and Computation of Oculomotor Measures in the Study of Cognitive Processes , 1998 .

[20]  Angelika Dimoka,et al.  Where Does TAM Reside in the Brain? The Neural Mechanisms Underlying Technology Adoption , 2008, ICIS.

[21]  Keng Siau,et al.  Identifying Difficulties in Learning Uml , 2006, Inf. Syst. Manag..

[22]  Keng Siau,et al.  A semiotic analysis of unified modeling language graphical notations , 2009, Requirements Engineering.

[23]  Ma Sasse,et al.  The Eyes Never Lie: The Use of Eyetracking Data in HCI Research , 2002, CHI 2002.

[24]  P. Goldman-Rakic Topography of cognition: parallel distributed networks in primate association cortex. , 1988, Annual review of neuroscience.

[25]  K. Rayner,et al.  The psychology of reading , 1989 .

[26]  Kathryn M. McMillan,et al.  N‐back working memory paradigm: A meta‐analysis of normative functional neuroimaging studies , 2005, Human brain mapping.

[27]  Edward E. Smith,et al.  Temporal dynamics of brain activation during a working memory task , 1997, Nature.

[28]  Ronald T. Cenfetelli Inhibitors and Enablers as Dual Factor Concepts in Technology Usage , 2004, J. Assoc. Inf. Syst..

[29]  Daniel M. Curlik,et al.  Training your brain: Do mental and physical (MAP) training enhance cognition through the process of neurogenesis in the hippocampus? , 2013, Neuropharmacology.

[30]  Kathleen M. Eisenhardt,et al.  DYNAMIC CAPABILITIES, WHAT ARE THEY? , 2000 .

[31]  J. Price Prefrontal Cortical Networks Related to Visceral Function and Mood , 1999, Annals of the New York Academy of Sciences.

[32]  A PavlouPaul,et al.  From IT Leveraging Competence to Competitive Advantage in Turbulent Environments , 2006 .

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

[34]  Claudia Mello-Thoms,et al.  What attracts the eye to the location of missed and reported breast cancers? , 2002, ETRA.

[35]  Edward E. Smith,et al.  A Parametric Study of Prefrontal Cortex Involvement in Human Working Memory , 1996, NeuroImage.

[36]  John L. Sibert,et al.  The reading assistant: eye gaze triggered auditory prompting for reading remediation , 2000, UIST '00.

[37]  Keng Siau,et al.  Using Cognitive Mapping Techniques to Supplement UML and up in Information Requirements Determination , 2006, J. Comput. Inf. Syst..

[38]  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.

[39]  Colette Rolland,et al.  Bridging the Gap Between Organisational Needs and ERP Functionality , 2000, Requirements Engineering.

[40]  Aulikki Hyrskykari,et al.  101 spots, or how do users read menus? , 1998, CHI.

[41]  Joseph H. Goldberg,et al.  Computer interface evaluation using eye movements: methods and constructs , 1999 .

[42]  Ting-Peng Liang,et al.  Guidelines for Neuroscience Studies in Information Systems Research , 2014, J. Manag. Inf. Syst..

[43]  R. Dolan,et al.  The functional anatomy of humor: segregating cognitive and affective components , 2001, Nature Neuroscience.

[44]  Keng Siau,et al.  Evaluation techniques for systems analysis and design modelling methods – a review and comparative analysis , 2011, Inf. Syst. J..

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

[46]  A. Engel,et al.  Single-trial EEG–fMRI reveals the dynamics of cognitive function , 2006, Trends in Cognitive Sciences.

[47]  Keith S. Karn,et al.  “Saccade pickers” vs. “fixation pickers”: the effect of eye tracking instrumentation on research , 2000, ETRA.

[48]  M. Just,et al.  Eye fixations and cognitive processes , 1976, Cognitive Psychology.

[49]  Joseph H. Goldberg,et al.  Eye tracking in web search tasks: design implications , 2002, ETRA.

[50]  Samuel M. McClure,et al.  Neural Correlates of Behavioral Preference for Culturally Familiar Drinks , 2004, Neuron.

[51]  Glenn F. Wilson,et al.  Psychophysiological responses to changes in workload during simulated air traffic control , 1996, Biological Psychology.

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

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

[54]  Brian Knutson,et al.  Anticipation of Increasing Monetary Reward Selectively Recruits Nucleus Accumbens , 2001, The Journal of Neuroscience.

[55]  H. Pashler,et al.  Puzzlingly High Correlations in fMRI Studies of Emotion, Personality, and Social Cognition 1 , 2009, Perspectives on psychological science : a journal of the Association for Psychological Science.

[56]  Jeffrey J. Hendrickson,et al.  Performance, preference, and visual scan patterns on a menu-based system: implications for interface design , 1989, CHI '89.

[57]  Martin P Paulus,et al.  Ventromedial prefrontal cortex activation is critical for preference judgments , 2003, Neuroreport.

[58]  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.

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

[60]  M. Walker,et al.  Prefrontal atrophy, disrupted NREM slow waves, and impaired hippocampal-dependent memory in aging , 2013, Nature Neuroscience.

[61]  Camelia M. Kuhnen,et al.  The Neural Basis of Financial Risk Taking , 2005, Neuron.

[62]  Iris Vessey,et al.  Cognitive Fit: A Theory‐Based Analysis of the Graphs Versus Tables Literature* , 1991 .

[63]  René Hen,et al.  Dorsal vs Ventral Hippocampal Neurogenesis: Implications for Cognition and Mood , 2011, Neuropsychopharmacology.

[64]  Paul A. Pavlou,et al.  From IT Leveraging Competence to Competitive Advantage in Turbulent Environments: The Case of New Product Development , 2006, Inf. Syst. Res..

[65]  Hans J. Markowitsch,et al.  Amygdala in action: Relaying biological and social significance to autobiographical memory , 2011, Neuropsychologia.

[66]  Keng Siau,et al.  Cognitive evaluation of information modeling methods , 2007, Inf. Softw. Technol..

[67]  Colin Camerer,et al.  Neuroeconomics: How Neuroscience Can Inform Economics , 2005 .

[68]  Keng Siau,et al.  Informational and Computational Equivalence in Comparing Information Modeling Methods , 2004, J. Database Manag..

[69]  R. Williams,et al.  The control of neuron number. , 1988, Annual review of neuroscience.

[70]  Laura Chamberlain,et al.  What is "neuromarketing"? A discussion and agenda for future research. , 2007, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[71]  M. Lieberman Social Cognitive Neuroscience , 2010 .

[72]  Paul A. Pavlou,et al.  Understanding and Predicting Electronic Commerce Adoption: An Extension of the Theory of Planned Behavior , 2006, MIS Q..

[73]  Eric J. Johnson,et al.  Behavioral decision research: A constructive processing perspective. , 1992 .