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On the effectiveness of cognitive feedback from an interface agent

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  • Montazemi, A. R.
  • Gupta, K. M.

Abstract

The objective of this study was to determine the impact of task information (TI) provided by an interface agent during the idea evaluation and integration step of the problem formulation stage of the problem solving process. The effectiveness assessment was based on solving diagnostic decision problems in the domain of complex industrial machinery. Ten domain experts participated in this study. Decision support was provided by a case-based reasoning system. Findings suggest that TI provided by the interface agent had no effect on the decision maker's performance, nor on the associated cognitive effort. However, a verbal protocol analysis revealed that the ten subjects used the interface agent to verify their decision processes. The results and their implications are discussed with respect to current findings in the area of decision support systems.

Suggested Citation

  • Montazemi, A. R. & Gupta, K. M., 1997. "On the effectiveness of cognitive feedback from an interface agent," Omega, Elsevier, vol. 25(6), pages 643-658, December.
  • Handle: RePEc:eee:jomega:v:25:y:1997:i:6:p:643-658
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    References listed on IDEAS

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    1. Balzer, William K. & Sulsky, Lorne M. & Hammer, Leslie B. & Sumner, Kenneth E., 1992. "Task information, cognitive information, or functional validity information: Which components of cognitive feedback affect performance?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 53(1), pages 35-54, October.
    2. Tindale, R. Scott, 1989. "Group vs individual information processing: The effects of outcome feedback on decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 44(3), pages 454-473, December.
    3. Richard O. Mason & Ian I. Mitroff, 1973. "A Program for Research on Management Information Systems," Management Science, INFORMS, vol. 19(5), pages 475-487, January.
    4. Ford, J. Kevin & Schmitt, Neal & Schechtman, Susan L. & Hults, Brian M. & Doherty, Mary L., 1989. "Process tracing methods: Contributions, problems, and neglected research questions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 43(1), pages 75-117, February.
    5. David W. Cravens, 1970. "An Exploratory Analysis of Individual Information Processing," Management Science, INFORMS, vol. 16(10), pages 656-670, June.
    6. Montazemi, A. R. & Chan, L., 1990. "An analysis of the structure of expert knowledge," European Journal of Operational Research, Elsevier, vol. 45(2-3), pages 275-292, April.
    7. Jasbir S. Dhaliwal & Izak Benbasat, 1996. "The Use and Effects of Knowledge-Based System Explanations: Theoretical Foundations and a Framework for Empirical Evaluation," Information Systems Research, INFORMS, vol. 7(3), pages 342-362, September.
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