Paper Info
Title
Effect of descriptive information and experience on automation reliance.
Abstract
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.
Year
DOI
Venue
2011
10.1177/0018720811406725
HUMAN FACTORS
Keywords
Field
DocType
system design,decision making,recommendation,decision aid,acceptance
Experiential learning,Simulation,Decision support system,Human factors and ergonomics,Systems design,Knowledge management,Automation,Engineering
Journal
Volume
Issue
ISSN
53
3
0018-7208
Citations 
PageRank 
References 
3
0.40
12
Authors
2
Name
Order
Citations
PageRank
Nirit Yuviler-gavish1323.91
Daniel Gopher2344.68