Technology Dominance in Complex Decision Making: The Case of Aided Credibility Assessment

References

• Anderson, J. R. Skill acquisition: Compilation of weak-method problem solution. Psychological Review, 94, 2 (1987), 192-210.
   Google Scholar
• Arnold, V., and Sutton, S. G. The theory of technology dominance: Understanding the impact of intelligent decision aids on decision makers' judgments. Advances in Accounting Behavioral Research, 1, 3 (1998), 175-194.
   Google Scholar
• Arnold, V.; Collier, P. A.; Leech, S. A.; and Sutton, S. G. Impact of intelligent decision aids on expert and novice decision-makers' judgments. Accounting & Finance, 44, 1 (2004), 1-26.
   Google Scholar
• Arnold, V.; Clark, N.; Collier, P. A.; Leech, S. A.; and Sutton, S. G. The differential use and effect of knowledge-based system explanations in novice and expert judgment decisions. MIS Quarterly, 30, 1 (2006), 79-97.
   Google Scholar
• Baye, M. R.; Gatti, J. R. J.; Kattuman, P.; and Morgan, J. A dashboard for online pricing. California Management Review, 50, 1 (2007), 202-216.
   Google Scholar
• Bond, C. F., and DePaulo, B. M. Accuracy of deception judgments. Personality and Social Psychology Review, 10, 3 (2006), 214-234.
   Google Scholar
• Bond, C. F., and Uysal, A. On lie detection "wizards." Law and Human Behavior, 31, 1 (2007), 109-115.
   Google Scholar
• Bond, C. F.; Omar, A.; Mahmoud, A.; and Bonser, R. N. Lie detection across cultures. Journal of Nonverbal Behavior, 14, 3 (1990), 189-204.
   Google Scholar
• Bonner, S. E.; Libby, R.; and Nelson, M. W. Using decision aids to improve auditors' conditional probability judgments. Accounting Review, 71, 2 (1996), 221-240.
   Google Scholar
• Briggs, R. O.; Adkins, M.; Mittleman, D.; Kruse, J.; Miller, S.; and Nunamaker, J. F., Jr. A technology transition model derived from field investigation of GSS use aboard the U. S. S. Coronado. Journal of Management Information Systems, 15, 3 (Winter 1998-99), 151-195.
   Google Scholar
• Buchanan, B. G., and Shortliffe, E. H. Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project. Boston: Addison-Wesley Longman, 1984.
   Google Scholar
• Buller, D. B., and Burgoon, J. K. Interpersonal deception theory. Communication Theory, 6, 3 (1996), 203-242.
   Google Scholar
• Burgoon, J. K.; Blair, J. P.; and Strom, R. E. Cognitive biases and nonverbal cue availability in detecting deception. Human Communication Research, 34, 4 (2008), 572-599.
   Google Scholar
• Burgoon, J. K.; Buller, D. B.; Ebesu, A. S.; and Rockwell, P. Interpersonal deception: V. Accuracy in deception detection. Communication Monographs, 61, 4 (1994), 303-325.
   Google Scholar
• Burgoon, J. K.; Twitchell, D. P.; Jensen, M. L.; Adkins, M.; Kruse, J.; Deokar, A.; Lu, S.; Metaxas, D. N.; Nunamaker, J. F., Jr.; and Younger, R. E. Detecting concealment in transportation screening. IEEE Transactions on Intelligent Transportation Systems, 10, 1 (2009), 103-112.
   Google Scholar
• Chi, M. T. H.; Glaser, R.; and Farr, M. J. The Nature of Expertise. Hillsdale, NJ: Lawrence Erlbaum, 1988.
   Google Scholar
• Davis, F.; Bagozzi, R. P.; and Warshaw, P. R. User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35, 8 (1989), 982-1002.
   Google Scholar
• DePaulo, B. M., and Pfeifer, R. L. On-the-job experience and skill at detecting deception. Journal of Applied Social Psychology, 16, 3 (1986), 249-267.
   Google Scholar
• DePaulo, B. M.; LeMay, C. S.; and Epstein, J. A. Effects of importance of success and expectations for success on effectiveness at deceiving. Personality and Social Psychology Bulletin, 17, 1 (1991), 14-24.
   Google Scholar
• DePaulo, B. M.; Charlton, K.; Cooper, H.; Lindsay, J. J.; and Muhlenbruck, L. The accuracy-confidence correlation in the detection of deception. Personality and Social Psychology Review, 1, 4 (1997), 346-357.
   Google Scholar
• DePaulo, B. M.; Lindsay, J.; Malone, B.; Muhlenbruck, L.; Charlton, K.; and Cooper, H. Cues to deception. Psychological Bulletin, 129, 1 (2003), 74-118.
   Google Scholar
• Devine, D. J., and Kozlowski, S. W. J. Domain-specific knowledge and task characteristics in decision making. Organizational Behavior and Human Decision Processes, 64, 3 (1995), 294-306.
   Google Scholar
• Dhaliwal, J. S., and Benbasat, I. The use and effects of knowledge-based system explanations: Theoretical foundations and a framework for empirical evaluation. Information Systems Research, 7, 3 (1996), 342-362.
   Google Scholar
• Ekman, P. Telling Lies. New York: W. W. Norton, 1985.
   Google Scholar
• Ekman, P., and O'Sullivan, M. Who can catch a liar? American Psychologist, 46, 9 (1991), 913-920.
   Google Scholar
• Engelbart, D. C. Augmenting human intellect: A conceptual framework. Technical Report, Air Force Office of Scientific Research, Washington, DC, 1962.
   Google Scholar
• Exline, R. V.; Thibaut, J.; Hickey, C. B.; and Gumpert, P. Visual interaction in relation to Machiavellianism and an unethical act. In R. Christie and F. L. Geis (eds.), Studies in Machiavellianism. New York: Academic Press, 1970, pp. 53-75.
   Google Scholar
• Fleder, D., and Hosanagar, K. Blockbuster culture's next rise or fall: The impact of recommender systems on sales diversity. Management Science, 55, 5 (2009), 697-712.
   Google Scholar
• Frank, M. G., and Feeley, T. H. To catch a liar: Challenges for research in lie detection training. Journal of Applied Communication Research, 31, 1 (2003), 58-75.
   Google Scholar
• The Global Deception Research Team. A world of lies. Journal of Cross-Cultural Psychology, 37, 1 (2006), 60-74.
   Google Scholar
• Gregor, S., and Benbasat, I. Explanations from intelligent systems: Theoretical foundations and implications for practice. MIS Quarterly, 23, 4 (1999), 497-530.
   Google Scholar
• Hancock, J. Digital deception: When, where and how people lie online. In A. N. Joinson, K. Y. A. McKenna, T. Postmes, and U. Reips (eds.), Oxford Handbook of Internet Psychology. Oxford: Oxford University Press, 2007, pp. 287-301.
   Google Scholar
• Huang, C.-L., and Huang, W.-L. Handling sequential pattern decay: Developing a two-stage collaborative recommender system. Electronic Commerce Research & Applications, 8, 3 (2009), 117-129.
   Google Scholar
• Jensen, M. L.; Burgoon, J. K.; and Nunamaker, J. F., Jr. Judging the credibility of information gathered from face-to-face interactions. ACM Journal of Data and Information Quality (2010), in press.
   Google Scholar
• Jensen, M. L.; Lowry, P. B.; Burgoon, J. K.; and Nunamaker, J. F., Jr. Unobtrusive computer-aided credibility assessment by novice and professional lie-catchers. In R. H. Sprague (ed.), Proceedings of the 42nd Annual Hawaii International Conference on System Sciences. Los Alamitos, CA: IEEE Computer Society Press, 2009 (available at www.hicss.hawaii.edu/Reports/42ProceedingsCAandIQ%20symposium%20and%20RSTws.pdf
   Google Scholar
• Johnson, E. J. Expertise and decision under uncertainty: Performance and process. In M. Chi, R. G laser, and M. Farr (eds.,) The Nature of Expertise. Hillsdale, NJ: Lawrence Erlbaum, 1988, pp. 209-259.
   Google Scholar
• Johnson, P. E.; Jamal, K.; and Berryman, R. G. Effects of framing on auditor decisions. Organizational Behavior and Human Decision Processes, 50, 1 (1991), 75-105.
   Google Scholar
• Kraut, R. Humans as lie detectors. Journal of Communication, 30, 4 (1980), 209-216.
   Google Scholar
• Larkin, J.; McDermott, J.; Simon, D. P.; and Simon, H. A. Expert and novice performance in solving physics problems. Science, 208, 4450 (June 20, 1980), 1335-1342.
   Google Scholar
• Levine, T. R.; Park, H. S.; and McCornack, S. A. Accuracy in detecting truths and lies: Documenting the "veracity effect." Communication Monographs, 66, 2 (1999), 125-144.
   Google Scholar
• Levine, T. R.; Kim, R. K.; Park, H. S.; and Hughes, M. Deception detection accuracy is a predictable linear function of message veracity base-rate: A formal test of Park and Levine's probability model. Communication Monographs, 73, 3 (2006), 243-260.
   Google Scholar
• Levine, T. R.; Feeley, T. H.; McCornack, S. A.; Hughes, M.; and Harms, C. M. Testing the effects of nonverbal behavior training on accuracy in deception detection with the inclusion of a bogus training control group. Western Journal of Communication, 69, 3 (2005), 203-217.
   Google Scholar
• Mann, S.; Vrij, A.; and Bull, R. Detecting true lies: Police officers' ability to detect suspects' lies. Journal of Applied Psychology, 89, 1 (2004), 137-149.
   Google Scholar
• Mao, J., and Benbasat, I. The use of explanations in knowledge-based systems: Cognitive perspectives and process-tracing analysis. Journal of Management Information Systems, 17, 2 (Fall 2000), 153-179.
   Google Scholar
• Masselli, J.; Ricketts, R.; Arnold, V.; and Sutton, S. G. The impact of embedded intelligent agents on tax compliance decisions. Journal of the American Tax Association (Fall 2002), 60-78.
   Google Scholar
• Meehl, P. E. Clinical Versus Statistical Prediction: A Theoretical Analysis and a Review of the Evidence. Minneapolis, MN: University of Minnesota Press 1954.
   Google Scholar
• Meissner, C. A., and Kassin, S. M. "He's guilty!" Investigator bias in judgments of truth and deception. Law and Human Behavior, 26, 5 (2002), 469-480.
   Google Scholar
• Meservy, T. O.; Jensen, M. L.; Kruse, J.; Burgoon, J. K.; and Nunamaker, J. F., Jr. Automatic extraction of deceptive behavioral cues from video. In P. Kantor, G. Muresan, F. Roberts, D. D. Zeng, F.-Y. Wang, H. Chen, and R. C. Merkle (eds.), Intelligence and Security Informatics: Proceedings of the IEEE International Conference on Intelligence and Security Informatics ISI 2005. LNCS 3495. Berlin: Springer-Verlag, 2005, pp. 198-208.
   Google Scholar
• Meservy, T. O.; Jensen, M. L.; Kruse, J.; Twitchell, D. P.; Tsechpenakis, G.; Burgoon, J. K.; Metaxas, D. N.; and Nunamaker, J. F., Jr. Deception detection through automatic, unobtrusive analysis of nonverbal behavior. IEEE Intelligent Systems, 20, 5 (2005), 36-43.
   Google Scholar
• Mirzadeh, N., and Ricci, F. Cooperative query rewriting for decision making support and recommender systems. Applied Artificial Intelligence, 21, 10 (2007), 895-932.
   Google Scholar
• Mosier, K. L., and Skitka, L. J. Human decision makers and automated decision aids: Made for each other? In R. Parasuraman and M. Mouloua (eds.), Automation and Human Performance, 1, Human Factors in Transportation. Mahwah, NJ: Lawrence Erlbaum, 1996, pp. 201-220.
   Google Scholar
• Newell, A., and Simon, H. A. Human Problem Solving. Englewood Cliffs, NJ: Prentice Hall, 1972.
   Google Scholar
• Noga, T., and Arnold, V. Do tax decision support systems affect the accuracy of tax compliance decisions? International Journal of Accounting Information Systems, 3, 3 (2002), 125-144
   Google Scholar
• Orasanu, J., and Connolly, T. The reinvention of decision making. In G. A. Klein, J. Orasanu, R. Calderwood, and C. E. Zsambok (eds.), Decision Making in Action: Models and Methods. Norwood, NJ: Ablex, 1993.
   Google Scholar
• Parasuraman, R., and Riley, V. Humans and automation: Use, misuse, disuse, abuse. Human Factors, 39, 2 (1997), 230-254.
   Google Scholar
• Reitman, J. S. Cognition and Thought. New York: Wiley, 1965.
   Google Scholar
• Rochlin, G. I. Trapped in the Net: The Unanticipated Consequences of Computerization. Princeton: Princeton University Press, 1997.
   Google Scholar
• Ruby, C. L.; Green, M. L.; and Miller, R. The operations dashboard: A collaborative environment for monitoring virtual organization-specific compute element operational status. Parallel Processing Letters, 16, 4 (2006), 485-500.
   Google Scholar
• Seiter, J. S.; Bruschke, J.; and Bai, C. The acceptability of deception as a function of perceivers' culture, deceiver's intention, and deceiver-deceived relationship. Western Journal of Communication, 66, 2 (2002), 158-181.
   Google Scholar
• Shanteau, J. Competence in experts: The role of task characteristics. Organizational Behavior and Human Decision Processes, 53, 2 (1992), 252-266.
   Google Scholar
• Simon, H. A. A behavioral model of rational choice. Quarterly Journal of Economics, 69, 1 (1955), 99-118.
   Google Scholar
• Simon, H. A. The structure of ill structured problems. Artificial Intelligence, 4, 3-4 (1973), 181-201.
   Google Scholar
• Skitka, L. J.; Mosier, K. L.; and Burdick, M. Does automation bias decision-making? International Journal of Human-Computer Studies, 51, 5 (1999), 991-1006.
   Google Scholar
• Sporer, S. L., and Schwandt, B. Moderators of nonverbal indicators of deception: A meta-analytic synthesis. Psychology, Public Policy, and Law, 13, 1 (2007), 1-34.
   Google Scholar
• Tseng, S., and Fogg, B. J. Credibility and computing technology. Communications of the ACM, 42, 5 (1999), 39-44.
   Google Scholar
• Venkatesh, V.; Morris, M. G.; Davis, G. B.; and Davis, F. D. User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 3 (2003), 425-478.
   Google Scholar
• Vrij, A. Detecting Lies and Deceit: The Psychology of Lying and Implications for Professional Practice. Chichester, UK: John Wiley & Sons, 2000.
   Google Scholar
• Vrij, A., and Graham, S. Individual differences between liars and the ability to detect lies. Expert Evidence, 5, 4 (1997), 144-148.
   Google Scholar
• Vrij, A., and Mann, S. Who killed my relative? Police officers' ability to detect real-life high-stake lies. Psychology, Crime & Law, 7, 1 (2001), 119-132.
   Google Scholar
• Wilson, D. C.; Leland, S.; Godwin, K.; Baxter, A.; Levy, A.; Smart, J.; Najjar, N.; and Andaparambil, J. SmartChoice: An online recommender system to support low-income families in public school choice. AI Magazine, 30, 2 (2009), 46-58.
   Google Scholar
• Wixom, B. H., and Todd, P. A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16, 1 (2005), 85-102.
   Google Scholar
• Ye, L. R., and Johnson, P. E. The impact of explanation facilities on user acceptance of expert systems advice. MIS Quarterly, 19, 2 (1995), 157-172.
   Google Scholar
• Zhang, Y.; Zhuang, Y.; Wu, J.; and Zhang, L. Applying probabilistic latent semantic analysis to multi-criteria recommender system. AI Communications, 22, 2 (2009), 97-107.
   Google Scholar
• Zhou, L.; Burgoon, J. K.; Nunamaker, J. F., Jr.; and Twitchell, D. P. Automated linguistics based cues for detecting deception in text-based asynchronous computer-mediated communication: An empirical investigation. Group Decision and Negotiation, 13, 1 (2004), 81-106.
   Google Scholar
• Zhou, L.; Twitchell, D. P.; Qin, T.; Burgoon, J. K.; and Nunamaker, J. F., Jr. Toward the automatic prediction of deception: An empirical comparison of classification methods. Journal of Management Information Systems, 20, 4 (Spring 2004), 139-166.
   Google Scholar