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Attributes affecting computer-aided decision making — a literature survey

Authors
Journal
Computers in Human Behavior
0747-5632
Publisher
Elsevier
Publication Date
Volume
10
Issue
3
Identifiers
DOI: 10.1016/0747-5632(94)90057-4

Abstract

Abstract In spite of the ever-increasing use of computers in decision making, few people consider the effects of human interaction on the efficacy of computerassisted decision making. This article provides a comprehensive review of current literature relating to those personal, demographic, situational and cognitive attributes that affect computer-aided decision making. In addition, the overall effectiveness of computer-aided decision making is explored as it relates to decision quality, decision effectiveness, and decision confidence. Prior studies relating to the effects on computer-aided decision making of attributes, such as age, anxiety, cognitive type, attitude toward computers, gender, and prior computer experience are discussed. Although many of the studies provide significant empirical evidence as to the importance of these attributes, this article provides a balanced presentation by also presenting opposing results.

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