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

Donald R. Jones, Darrell Brown

Research output: Contribution to journalArticle

21 Scopus citations

Abstract

Prior research suggests that decision support system (DSS) provide model advice and display non-modeled information for decision makers. 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.

Original languageEnglish
Pages (from-to)375-388
Number of pages14
JournalDecision Support Systems
Volume33
Issue number4
DOIs
StatePublished - Aug 2002

Keywords

  • DSS development
  • Decision model reliance
  • Decision strategies
  • Human/computer interaction

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