Reducing the effects of irrelevant information with cognitive feedback
Durbin, William A.
MetadataShow full item record
This thesis was a study which deals with two basic concepts in human decision making. The first is the role of information relevance, specifically the adverse effects of irrelevant information on decision quality. The second key concept was cognitive feedback and its value for supporting decision making. The thesis was designed to research the effectiveness of cognitive feedback in reducing the adverse effects of irrelevant information. The experiment tested the Lens Model indices: achievement, consistency and matching in task conditions of high and low predictability. Subjects were divided into blocks which differed in the availability of cognitive feedback and predictability conditions. The results of the experiment showed the subjects performed better in all Lens Model indices in the cognitive feedback condition. Subjects also had superior performance across all Lens Model indices in the high predictability condition. This thesis was intended to contribute to the research in the subject of human decision making. the result were of importance in support of future design of decision support systems.
Approved for public release; distribution is unlimited
Showing items related by title, author, creator and subject.
Sengupta, Kishore; Te'eni, Dov (MIS Quarterly, 1993-03);Cognitive feedback in group decision making is information that provides decision makers with a better understanding of their own decision processes and that of the other group members. It appears to be an effective aid ...
Krotow, Geraldine S. (Monterey, California. Naval Postgraduate School, 1992-03);Human judgement and the process of decision making have been studied in depth for the past century. More recent research has revealed that feedback is a primary element in the decision making process. Feedback has been ...
Hutchins, Susan G.; Morrison, Jeffrey G.; Kelly, Richard T. (1996);The Tactical Decision Making Under Stress (TADMUS) program is being conducted to apply recent developments in decision theory and human-system interaction technology to the design of a decision support system for ...