Abstract
When making decisions, many people tend to rely on their instinctive choices instead of trusting and adopting those suggested by decision support systems. Feedback interventions can be used to subliminally direct and assist decision makers’ attention to increase the accuracy of the decision. This paper seeks to further develop our understanding of such persuasive decision aids for a preferential choice problem. For this purpose, we applied an experiment design with either enabled or disabled feedback interventions in a self-developed computerized decision aid with varying decision complexities. We applied continuous feedback mechanisms using normative rules to evaluate the participants’ time investments during their information processing stage. Our findings demonstrate that normative effort feedback impacts both time spent on single items and time spent for overall decision processing. We conclude that effort feedback can be a viable feedback option to implement in decision aids.
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References
Stanovich, K.E., West, R.F.: Individual differences in reasoning: Implications for the rationality debate? Behavioral and Brain Sciences 23, 645–665 (2000)
Simon, H.A.: A Behavioral Model of Rational Choice. The Quarterly Journal of Economics 69, 99–118 (1955)
Bernroider, E.W.N., Koch, S.: Decision Making for ERP-Investments from the Perspective of Organizational Impact - Preliminary Results from an Empirical Study. In: Proceedings of the Fifth Americas Conference on Information Systems, AMCIS 1999, pp. 773–775. Association for Information Systems AIS, Milwaukee WI (1999)
Payne, J.W., Bettman, J.R., Johnson, E.J.: The adaptive decision maker. Cambridge University Press (1993)
Tversky, A., Kahneman, D.: Judgment under uncertainty: Heuristics and biases. Science 185, 1124–1131 (1974)
Smith, J.E., von Winterfeldt, D.: Decision Analysis in Management Science. Management Science 50, 561–574 (2004)
Saaty, T.L.: How to make a decision: the analytic hierarchy process. European Journal of Operational Research 48, 9–26 (1990)
Todd, P., Benbasat, I.: An experimental investigation of the impact of computer based decision aids on decision making strategies. Information Systems Research 2, 87–115 (1991)
Bernroider, E., Schmöllerl, P.: A technological, organisational and environmental analysis of decision making methodologies and satisfaction in the context of IT induced business transformations. European Journal of Operational Research 224, 141–153 (2013)
Lu, H.P., Yu, H.J., Lu, S.S.K.: The effects of cognitive style and model type on DSS acceptance: An empirical study. European Journal of Operational Research 131, 649–663 (2001)
Wang, W., Benbasat, I.: Interactive decision aids for consumer decision making in e-commerce: The influence of perceived strategy restrictiveness. MIS Quarterly 33, 293–293 (2009)
Davern, M., Shaft, T., Te’eni, D.: Cognition Matters: Enduring Questions in Cognitive IS Research. Journal of the Association for Information Systems 13, 1–1 (2012)
Payne, J.W.: Task complexity and contingent processing in decision making: An information search and protocol analysis. Organizational Behavior and Human Performance 16, 366–387 (1976)
Lerner, J.S., Tetlock, P.E.: Accounting for the effects of accountability. Psychological Bulletin 125, 255–255 (1999)
Speier, C.: The influence of information presentation formats on complex task decision-making performance. International Journal of Human-Computer Studies 64, 1115–1131 (2006)
Tetlock, P.E., Skitka, L., Boettger, R.: Social and cognitive strategies for coping with accountability: Conformity, complexity, and bolstering. Journal of Personality and Social Psychology 57, 632–632 (1989)
Todd, P., Benbasat, I.: Evaluating the impact of DSS, cognitive effort, and incentives on strategy selection. Information Systems Research 10, 356–356 (1999)
Kluger, A.N., DeNisi, A.: The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological Bulletin 119, 254–254 (1996)
Agostinelli, G., Brown, J.M., Miller, W.R.: Effects of normative feedback on consumption among heavy drinking college students. Journal of Drug Education 25, 31–40 (1995)
Becker, L.J.: Joint effect of feedback and goal setting on performance: A field study of residential energy conservation. Journal of Applied Psychology 63, 428–428 (1978)
Froehlich, J., Findlater, L., Landay, J.: The design of eco-feedback technology. In: Proceedings of the 28th International Conference on Human Factors in Computing Systems, pp. 1999–2008. ACM, New York (2010)
Loock, C.M., Staake, T., Landwehr, J.: Green IS Design and Energy Conservation: An Empirical Investigation of Social Normative Feedback. In: ICIS 2011 Proceedings, pp. 1–15. Curran Associates Inc., New York (2011)
Simonson, I., Nye, P.: The effect of accountability on susceptibility to decision errors. Organizational Behavior and Human Decision Processes 51, 416–446 (1992)
Oinas-Kukkonen, H., Harjumaa, M.: Persuasive systems design: Key issues, process model, and system features. Communications of the Association for Information Systems 24, 28–28 (2009)
Neighbors, C., Larimer, M.E., Lewis, M.A.: Targeting misperceptions of descriptive drinking norms: efficacy of a computer-delivered personalized normative feedback intervention. Journal of Consulting and Clinical Psychology 72, 434–434 (2004)
Bernroider, E.W.N., Mitlöhner, J.: Social Choice Aggregation Methods for Multiple Attribute Business Information System Selection. In: Ninth International Conference on Business Information Systems, BIS, pp. 267–276. Gesellschaft für Informatik, Bonn Germany (2006)
Creyer, E.H., Bettman, J.R., Payne, J.W.: The impact of accuracy and effort feedback and goals on adaptive decision behavior. Journal of Behavioral Decision Making 3, 1–16 (1990)
Ashton, R.H.: Pressure and performance in accounting decision settings: Paradoxical effects of incentives, feedback, and justification. Journal of Accounting Research 28, 148–180 (1990)
Murphy, A.H., Winkler, R.L.: Reliability of subjective probability forecasts of precipitation and temperature. Applied Statistics 26, 41–47 (1977)
Fennema, M.G., Kleinmuntz, D.N.: Anticipations of effort and accuracy in multiattribute choice. Organizational Behavior and Human Decision Processes 63, 21–32 (1995)
Chenoweth, T., Dowling, K.L., St Louis, R.D.: Convincing DSS users that complex models are worth the effort. Decision Support Systems 37, 71–82 (2004)
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Maier, K., Frysak, J., Bernroider, E.W.N. (2014). The Effects of Effort-Feedback on Time Spent for Information Processing in Multi-criteria Decision Making. In: Rocha, Á., Correia, A., Tan, F., Stroetmann, K. (eds) New Perspectives in Information Systems and Technologies, Volume 1. Advances in Intelligent Systems and Computing, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-319-05951-8_51
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DOI: https://doi.org/10.1007/978-3-319-05951-8_51
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-05950-1
Online ISBN: 978-3-319-05951-8
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