| Effect of descriptive information and experience on automation reliance. | |
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MedLine Citation:
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PMID: 21830510 Owner: NLM Status: In-Process |
Abstract/OtherAbstract:
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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 I 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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Authors:
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Nirit Yuviler-Gavish; Daniel Gopher |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Human factors Volume: 53 ISSN: 0018-7208 ISO Abbreviation: Hum Factors Publication Date: 2011 Jun |
Date Detail:
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Created Date: 2011-08-11 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0374660 Medline TA: Hum Factors Country: United States |
Other Details:
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Languages: eng Pagination: 230-44 Citation Subset: IM; S |
Affiliation:
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Faculty of Industrial Engineering and Management, Technion-Israel Institute of Technology, Haifa 32000, Israel. niritg@tx.technion.ac.il |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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