The division of labor between human and computer in the presence of decision support system advice

Authors:
Donald R. Jones;Darrell Brown
Affiliations:
Department of Information Systems and Quantitative Sciences, College of Business Administration, Texas Tech University, Lubbock, TX;School of Business Administration, Portland State University, Portland, OR
Venue:
Decision Support Systems
Year:
2002

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Abstract

Prior research suggests that decision support system (DSS) provide model advice and display non-modeled information for decision makers [4,13]. We investigate whether decision makers (1) delegate the processing of the modeled information to the model, (2) cognitively process the non-modeled information, and (3) decide based on the model's advice adjusted for the non-modeled information. Experimentally, decision makers were no more likely to execute normative strategies when they had requisite knowledge for the strategy than when they did not have the requisite knowledge. We observed alternative processing, including ignoring the advice altogether, and evaluating the advice. Our findings suggest that DSS builders must encourage decision strategies that capitalize on the relative strengths of human and computer in using those features.