In joint human-automation systems, operators must often supervise the automation and adapt their reliance upon it based on judgments of its context-specific reliability. For this to occur, operators should trust the automation appropriately. In the design of a water monitoring decision aid’s display, Ecological Interface Design was used to satisfy design guidelines for supporting appropriate trust. Display evaluation focused on a graphic form that made the aid’s use of the Dempster-Shafer theory directly perceptible. The display was evaluated using a signal detection theory-based approach that measured reliance on automation. Results indicated that the ecological display yielded less appropriate reliance and poorer performance than a conventional display for a highly reliable decision aid. However, the experimental task prevented participants from adapting to the aid’s context-specific reliabilities, reducing the degree to which reliance behaviour could be studied. A subsequent study is proposed to further study the effects of ecological displays on automation reliance.
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ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis
July 2–4, 2012
Nantes, France
Conference Sponsors:
- International
ISBN:
978-0-7918-4485-4
PROCEEDINGS PAPER
Ecological Interface Design for a Water Monitoring Decision Aid
Kevin C. Kan,
Kevin C. Kan
University of Toronto, Toronto, ON, Canada
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Greg A. Jamieson
Greg A. Jamieson
University of Toronto, Toronto, ON, Canada
Search for other works by this author on:
Kevin C. Kan
University of Toronto, Toronto, ON, Canada
Greg A. Jamieson
University of Toronto, Toronto, ON, Canada
Paper No:
ESDA2012-82648, pp. 791-802; 12 pages
Published Online:
August 12, 2013
Citation
Kan, KC, & Jamieson, GA. "Ecological Interface Design for a Water Monitoring Decision Aid." Proceedings of the ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. Volume 2: Applied Fluid Mechanics; Electromechanical Systems and Mechatronics; Advanced Energy Systems; Thermal Engineering; Human Factors and Cognitive Engineering. Nantes, France. July 2–4, 2012. pp. 791-802. ASME. https://doi.org/10.1115/ESDA2012-82648
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