Journal
HUMAN FACTORS
Volume 53, Issue 3, Pages 230-244Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/0018720811406725
Keywords
system design; decision making; recommendation; decision aid; acceptance
Funding
- Israel National Institute for Health Policy and Health Services Research [2003/6/a, 2003/6/b]
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Objective: The present research addresses the issue of reliance on decision support systems for the long term (DSSLT), which help users develop decision-making strategies and long-term planning. It is argued that providing information about a system's future performance in an experiential manner, as compared with a descriptive manner, encourages users to increase their reliance level. Background: Establishing appropriate reliance on DSSLT is contingent on the system developer's ability to provide users with information about the system's future performance. Method: A sequence of three studies contrasts the effect on automation reliance of providing descriptive information versus experience for DSSLT with two different positive expected values of recommendations. Results: Study 1 demonstrated that when automation reliance was determined solely on the basis of description, it was relatively low, but it increased significantly when a decision was made after experience with 50 training simulations. Participants were able to learn to increase their automation reliance levels when they encountered the same type of recommendation again. Study 2 showed that the absence of preliminary descriptive information did not affect the automation reliance levels obtained after experience. Study 3 demonstrated that participants were able to generalize their learning about increasing reliance levels to new recommendations. Conclusion: Using experience rather than description to give users information about future performance in DSSLT can help increase automation reliance levels. Applications: Implications for designing DSSLT and decision support systems in general are discussed.
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