Research Commentary—NeuroIS: The Potential of Cognitive Neuroscience for Information Systems Research

References

• Adomavicius G., Dimoka A., Gupta A., Pavlou P. A. Reducing the cognitive overload in continuous combinatorial auctions: Evidence from an fMRI study. (2009) . Working paper, University of Minnesota, MinneapolisGoogle Scholar
• Aron A. R. Progress in executive-function research. Current Directions Psych. Sci. (2008) 17(2):124–129Crossref, Google Scholar
• Bernheim B. D. Neuroeconomics: A sober (but hopeful) appraisal. (2008) . NBER Working paper, Stanford University, Palo Alto, CACrossref, Google Scholar
• Bhatt M., Camerer C. F. Self-referential thinking and equilibrium as states of mind in games: fMRI evidence. Games Econom. Behav. (2005) 52(2):424–459Crossref, Google Scholar
• Braeutigam S., Rose S. P. R., Swithenby S. J., Ambler T. The distributed neuronal systems supporting choice-making in real-life situations: Differences between men and women when choosing groceries detected using magnetoencephalograhy. Eur. J. Neuroscience (2004) 20(1):293–302Crossref, Google Scholar
• Brass M., Ullsperger M., Knoesche T. R., von Cramon D. Y., Phillips N. A. Who comes first? the role of the prefrontal and parietal cortex in cognitive control. J. Cognitive Neurosci. (2005) 17(9):1367–1375Crossref, Google Scholar
• Braver T. S., Cohen J. D., Jonides J., Smith E. E., Noll D. C. A parametric study of prefrontal cortex involvement in human working memory. NeuroImage (1997) 5(1):49–62Crossref, Google Scholar
• Bush G., Vogt B. A., Holmes J., Dale A. M., Greve D., Jenike M. A., Rosen B. R. Dorsal anterior cingulate cortex: A role in reward-based decision making. Proc. Natl. Acad. Sci. USA (2002) 99(1):523–528Crossref, Google Scholar
• Caccioppo J. T., Berntson G. G., Nusbaum H. C. Neuroimaging as a new tool in the toolbox of psychological science. Current Directions Psych. Sci. (2008) 17(2):62–67Crossref, Google Scholar
• Camerer C. F., Lowenstein G., Prelec D. Neuroeconomics: Why economics needs brains. Scand. J. Econom. (2004) 106(3):555–579Crossref, Google Scholar
• Cohen J. D., Perlstein W. M., Braver T. S., Nystrom L. E., Noll D. C., Jonides J., Smith E. E. Temporal dynamics of brain activation during a working memory task. Nature (1997) 386(6625):604–608Crossref, Google Scholar
• Davis F. D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quart. (1989) 13(3):319–340Crossref, Google Scholar
• Delgado M. R., Miller M. M., Inati S., Phelps E. A. An fMRI study of reward-related probability learning. Neuroimage (2005) 24(3):862–873Crossref, Google Scholar
• Deppe M., Schwindt W., Kugel H., Plassmann H., Kenning P. Nonlinear responses within the medial prefrontal cortex reveal when specific implicit information influences economic decision making. J. Neuroimaging (2005) 15(2):171–182Crossref, Google Scholar
• Desmond J. E., Glover G. H. Estimating sample size in functional MRI (fMRI) neuroimaging studies: Statistical power analyses. J. Neurosci. Methods (2002) 118(2):115–128Crossref, Google Scholar
• Dimoka A. What does the brain tell us about trust and distrust? Evidence from a functional neuroimaging study. MIS Quart. (2010) 34(2):373–396Crossref, Google Scholar
• Dimoka A., Davis F. D. Where does TAM reside in the brain? The neural mechanisms underlying technology adoption. Proc. 29th Internat. Conf. Inform. Systems (2008) University of MinnesotaMinneapolis:11–14Google Scholar
• Dimoka A., Pavlou P. A., Davis F. Neuro-IS: The potential of cognitive neuroscience for information systems research. Proc. 28th Internat. Conf. Inform. Systems (2007) University of MinnesotaMinneapolis:1–20Google Scholar
• Dimoka A., Pavlou P. A., Benbasat I., Qiu L. The role of gender and ethnicity in the design of online recommendation agents: Insights from an fMRI study. (2009) . Working paper, University of British Columbia, VancouverGoogle Scholar
• Dove A., Manly T., Epstein R., Owen A. M. The engagement of mid-ventrolateral prefrontal cortex and posterior brain regions in intentional cognitive activity. Human Brain Mapping (2008) 29(1):107–119Crossref, Google Scholar
• Economist, The Mind games: Can studying the human brain revolutionise economics? (2005) 71(January 13). http://www.economist.com/finance/displaystory.cfm?story_id=3556121Google Scholar
• Farah M. J. Emerging ethical issues in neuroscience. Nature Neurosci. (2002) 5(11):1123–1129Crossref, Google Scholar
• Ferstl C., Rinck M., von Cramon D. Y. Emotional and temporal aspects of situation model processing during text comprehension: An event-related fMRI study. Cognitive Neurosci. (2005) 17(5):724–739Crossref, Google Scholar
• Glimcher P., Rustichini A. Neuroeconomics: The consilience of brain and decision. Science (2004) 306(5695):447–452Crossref, Google Scholar
• Hagmann P., Cammoun L., Gigandet X., Meuli R., Honey C. J., Wedeen V. J., Sporns O. Mapping the structural core of the human cerebral cortex. PLOS Biol. (2008) 6(7):1479–1493Crossref, Google Scholar
• Haynes J.-D, Sakai K., Rees G., Gilbert S., Frith C., Passingham R. E. Reading hidden intentions in the brain. Current Biology (2007) 17(4):323–328Crossref, Google Scholar
• Hedgcock W., Rao A. R. Trade-off aversion as an explanation for the attraction effect: A functional magnetic resonance imaging study. J. Marketing Res. (2009) 46(February):1–13Crossref, Google Scholar
• Holmes A. P., Friston K. J. Generalisability, random effects and population inference. Neuroimage (1998) 7(4):S754Crossref, Google Scholar
• Hsu M., Camerer C. F. Ambiguity-aversion in the brain. (2004) . Working paper, California Institute of Technology, PasadenaGoogle Scholar
• Hsu M., Bhatt M., Adolphs R., Tranel D., Camerer C. F. Neural systems responding to degrees of uncertainty in human decision-making. Science (2005) 310(5754):1680–1683Crossref, Google Scholar
• Ioannides A. A., Liu L., Theofilou D., Dammers J., Burne T., Ambler T., Rose S. Real time processing of affective and cognitive stimuli in the human brain extracted from MEG signals. Brain Topography (2000) 13(1):11–19Crossref, Google Scholar
• Johnson E. J., Payne J. W. Effort and accuracy in choice. Management Sci. (1985) 31(4):394–414Link, Google Scholar
• Kahneman D., Tversky A. Prospect theory: An analysis of decision under risk. Econometrica (1979) 47(2):263–292Crossref, Google Scholar
• King-Casas B., Tomlin D., Anen C., Camerer C. F., Quartz S. R., Montague P. R. Getting to know you: Reputation and trust in a two-person economic exchange. Science (2005) 308(5718):78–83Crossref, Google Scholar
• Knutson B., Adams C. M., Fong G. W., Hommer D. Anticipation of increasing monetary reward selectively recruits nucleus accumbens. Neuroscience (2001) 21(16):RC159Crossref, Google Scholar
• Knutson B., Rick S. G., Wimmer E., Prelec D., Lowenstein G. Neural predictors of purchases. Neuron (2007) 53(1):147–156Crossref, Google Scholar
• Krain A., Wilson A. M., Arbuckle R., Castellanos F. X., Milham M. P. Distinct neural mechanisms of risk and ambiguity: A meta-analysis of decision-making. Neuroimage (2006) 32(1):477–484Crossref, Google Scholar
• Kriegeskorte N., Goebel R., Bandettini P. Information-based functional brain mapping. Proc. Natl. Acad. Sci. USA (2006) 103(10):3863–3868Crossref, Google Scholar
• Kuhnen C., Knutson B. The neural basis of financial risk taking. Neuron (2005) 47(5):763–770Crossref, Google Scholar
• Lau H. C., Passingham R. E. Unconscious activation of the cognitive control system in the human prefrontal cortex. J. Cognitive Neurosci. (2007) 27(21):5805–5811Google Scholar
• Lautin A.The Limbic Brain (2001) (Kluwer Academic/Plenum Publishers, New York) Google Scholar
• LeDoux J. The emotional brain, fear, and amygdala. Cellular Molecular Neurobiology (2003) 23(4–5):727–738Crossref, Google Scholar
• Lee N., Broderick A. J., Chamberlain L. What is “neuromarketing”? A discussion and agenda for future research. Internat. J. Psych. (2007) 63(2):199–204Google Scholar
• Lee Y., Hwang S., Wang E. M. Reducing cognitive workload of a computer-based procedure system. Internat. J. Human-Comput. Stud. (2005) 63(6):587–606Crossref, Google Scholar
• Lieberman M. D., Berkman E. T., Wager T.D. Correlations in social neuroscience aren't voodoo: Commentary on Vul et al. 2009. Perspect. Psych. Sci. (2009) 4(3):299–307Crossref, Google Scholar
• Lo A. W., Repin D. V. The psychophysiology of real-time financial risk processing. J. Cognitive Neurosci. (2002) 14(3):323–339Crossref, Google Scholar
• Logothetis N. K. What we can do and what we cannot do with fMRI. Nature (2008) 453(7197):869–878Crossref, Google Scholar
• Mast F. W., Zaltman G. A behavioral window on the mind of the market: An application of the response time paradigm. Brain Res. Bull. (2005) 67(5):422–427Crossref, Google Scholar
• McCabe K., Houser D., Ryan L., Smith V., Trouard T. Functional imaging study of cooperation in two-person reciprocal exchange. Proc. Natl. Acad. Sci. USA (2001) 98(20):11832–11835Crossref, Google Scholar
• McClure S. M., Berns G. S., Montague P. R. Temporal prediction errors in a passive learning task activate human striatum. Neuron (2003) 38(2):339–346Crossref, Google Scholar
• McClure S. M., York M. K., Montague P. R. The neural substrates of reward processing in humans: The modern role of fMRI. Neuroscientist (2004a) 10(3):260–268Crossref, Google Scholar
• McClure S. M., Laibson D. I., Loewenstein G., Cohen J. D. Separate neural systems value immediate and delayed monetary rewards. Science (2004b) 306(5695):503–507Crossref, Google Scholar
• McClure S. M., Li J., Tomlin D., Cypert K. S., Montague L. M., Montague P. R. Neural correlates of behavioral preference for culturally familiar drinks. Neuron (2004c) 44(2):379–387Crossref, Google Scholar
• McCrickard D. S., Chewar C. M., Somervell J. P., Ndiwalana A. A model for notification systems evaluation—Assessing user goals for multitasking activity. ACM Trans. Comput. Human Interaction (2003) 10(4):312–338Crossref, Google Scholar
• Mechelli A., Penny W. D., Price C. J., Gitelman D., Friston K. J. Effective connectivity and intersubject variability: Using a multisubject network to test differences and commonalities. NeuroImage (2002) 17(3):1459–1469Crossref, Google Scholar
• Miller G. Growing pains for fMRI. Science (2008) 320(5882):1412–1414Crossref, Google Scholar
• Minnery B. S., Fine M. S. Neuroscience and the future of human computer interaction. Interactions (2009) 16(2):70–75Crossref, Google Scholar
• Moore M. M., Storey V. C., Randolph A. B. User profiles for facilitating conversations with locked-in users. Proc. 25th Internat. Conf. Inform. Systems (2005) University of MinnesotaMinneapolis:923–936Google Scholar
• Naccache L., Dehaene S. The priming method: Imaging unconscious repetition priming reveals an abstract representation of number in the parietal lobes. Cerebral Cortex (2001) 11(10):966–974Crossref, Google Scholar
• Newman-Norlund R. D., Noordzij M. L., Meulenbroek R. G. J., Bekkering H. Exploring the brain basis of joint action: Coordination of actions, goals and intentions. Soc. Neurosci. (2007) 2(1):48–65Crossref, Google Scholar
• Nyberg L., Eriksson J., Larsson A., Marklund P. Learning by doing versus learning by thinking: An fMRI study of motor and mental training. Neuropsychologia (2006) 44(5):711–717Crossref, Google Scholar
• Ochsner K. N., Bunge S. N., Gross J. J., Gabrieli J. D. E. Rethinking feelings: An fMRI study of the cognitive regulation of emotion. J. Cognitive Neurosci. (2002) 14(8):1215–1229Crossref, Google Scholar
• Oulasvirta A., Saariluoma P. Surviving task interruptions: Investigating the implications of long-term working memory theory. Internat. J. Human-Comput. Stud. (2006) 64(10):941–961Crossref, Google Scholar
• Pavlou P. A. Consumer acceptance of electronic commerce—Integrating trust and risk, with the technology acceptance model. Internat. J. Electronic Commerce (2003) 7(3):69–103Google Scholar
• Pessoa L. On the relationship between emotion and cognition. Nature (2008) 9(2):148–159Google Scholar
• Phan K. L., Taylor S. F., Welsh R. C., Ho S., Britton J. C., Liberzon I. Neural correlates of individual ratings of emotional salience: A trial-related fMRI study. NeuroImage (2004) 21(2):768–780Crossref, Google Scholar
• Phan K. L., Wager T., Taylor S. F., Liberzon I. Functional neuroanatomy of emotion: A meta-analysis of emotion activation studies in PET and fMRI. NeuroImage (2002) 16(2):331–348Crossref, Google Scholar
• Phelps E. A. Emotion and cognition: Insights from studies of the human amygdala. Annual Rev. Psych. (2006) 57(1):27–53Crossref, Google Scholar
• Poldrack R. Can cognitive processes be inferred from neuroimaging data? Trends Cognitive Sci. (2006) 10(2):59–63Crossref, Google Scholar
• Poldrack R. Tools of the trade: Region of interest analyses for fMRI. Soc., Cognitive, Affective Neurosci. (2007) 2:67–70Crossref, Google Scholar
• Price C. J., Friston K. J. Functional ontologies for cognition: The systematic definition of structure and function. Cognitive Neuropsychol. (2005) 22(3/4):262–275Crossref, Google Scholar
• Randolph A. B., Karmakar S., Jackson M. M. Toward predicting control of a brain-computer interface. Proc. 26th Internat. Conf. Inform. Systems, (2006) University of MinnesotaMinneapolis:803–812Google Scholar
• Rees G., Wojciulik E., Clarke K., Husain M., Frith C., Driver J. J. Neural correlates of conscious and unconscious vision in parietal extinction. Neurocase (2002) 8(5):387–393Crossref, Google Scholar
• Rilling J. K., Sanfey A. G., Aronson J. A., Nystrom L. E., Cohen J. D. The neural correlates of theory of mind within interpersonal interactions. Neuroimage (2004) 22(4):1694–1703Crossref, Google Scholar
• Rossiter J. R., Silberstein R. B., Nield G., Harris P. G. Brain-imaging detection of visual scene encoding in long-term memory for TV commercials. Advertising Res. (2001) 41(2):13–21Crossref, Google Scholar
• Rustichini A. Neuroeconomics: Present and future. Games Econom. Behav. (2005) 52:201–212Crossref, Google Scholar
• Rypma B., D'Esposito M. The roles of prefrontal brain regions in components of working memory: Effects of memory load and individual differences. Proc. Natl. Acad. Sci. USA (1999) 96(2):6558–6563Crossref, Google Scholar
• Sanfey A. G., Rilling J. K., Aronson J. A., Nystrom L. E., Cohen J. D. The neural basis of economic decision-making in the ultimatum game. Science (2003) 300(5626):1755–1758Crossref, Google Scholar
• Smith K., Dickhaut J., McCabe K., Pardo J. V. Neuronal substrates for choice under ambiguity, risk, gains, and losses. Management Sci. (2002) 48(6):711–718Link, Google Scholar
• Spink A., Ozmutlu H. C., Ozmutlu S. Multitasking information seeking and searching processes. J. Amer. Soc. Inform. Sci. Tech. (2002) 53(8):639–652Crossref, Google Scholar
• Stanberry L., Murua A., Cordes D. Functional connectivity mapping using the ferromagnetic Potts spin model. Human Brain Mapping (2008) 29(4):422–440Crossref, Google Scholar
• Straub D. W., Limayem M., Karahanna E. Measuring system usage: Implications for IS theory testing. Management Sci. (1995) 41(8):1328–1342Link, Google Scholar
• Stuss D. T., Levine B., Alexander M. P., Hong J., Palumbo C., Hamer L., Murphy K. J., Izukawa D. Wisconsin Card Sorting Test performance in patients with focal frontal and posterior brain damage: Effects of lesion location and test structure on separable cognitive processes. Neuropsychologia (2000) 38(4):388–402Crossref, Google Scholar
• Thirion B., Pinel P., Tucholka A., Roche A., Cuiciu P., Mangin J.-F., Poline J.-B. Structural analysis of fMRI data revisited: Improving the sensitivity and reliability of fMRI group studies. IEEE Trans. Medical Imaging (2007) 26(9):1256–1269Crossref, Google Scholar
• Wicker B., Keysers C., Plailly J., Royet J., Gallese V., Rizzolatti G. Both of us disgusted in my insula: The common neural basis of seeing and feeling disgust. Neuron (2003) 40(3):655–664Crossref, Google Scholar
• Yoon C., Gonzalez R., Bettman J. R. Using fMRI to inform marketing research: Challenges and opportunities. J. Marketing Res. (2009) 46(1):17–19Google Scholar
• Yoon C., Gutchess A. H., Feinberg F., Polk T. A. A functional magnetic resonance imaging study of neural dissociations between brand and person judgments. J. Consumer Res. (2006) 33(1):31–40Crossref, Google Scholar
• Young C. Brain waves, picture sorts, and branding moments. Advertising Res. (2002) 4(1):42–53Crossref, Google Scholar
• Zaltman G.How Consumers Think (2003) (Harvard Business School Press, Boston) Google Scholar
• Zheng E., Pavlou P. A. Toward a causal interpretation for structural models: A new bayesian networks method for observational data with latent variables. Inform. Systems Res. (2010) 21(2):365–391Link, Google Scholar