Factors that Influence Reliance on Decision Aids: A Model and an Experiment.
Year: 1998
Type: article
Abstract: While behavioral research has consistently documented the advantages of using decision aids, decision makers have been reluctant to rely on them, generally with unfavorable results. We offer a model of aided decisions that incorporates both the level of reliance on the decision aid and the agreement of decisions with the decision aid's advice. In the model, the level of reliance is an attribute of the decision strategy adopted by the aided decision maker, while the extent of the decision maker's agreement with the decision aid is observed by comparing the decisions with the aid's advice. The model also includes a classification scheme for factors that affect decision strategy. The categories in this classification scheme are decision aid features, decision-maker characteristics, decision task characteristics and factors affecting the evaluation of decision strategies. In an experiment testing the sensitivity of decision aid reliance, neither the extent of algorithm revelation (revealed or bidden) nor decision framing (positive or negative) affected the level of reliance on the decision aid. In a comparison of aided and unaided decision makers, the decision aid had greater influence in the harder tasks than in the easier tasks.
Source: Journal of Information Systems
DOI: 10.2308/jis-1463445
Authors: Darrell L. Brown, Donald R. Jones
Language: English
Subfield: General Decision Sciences
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W172267370