The Effect of Partial Automation on Driver Attention: A Naturalistic Driving Study
Objective: This naturalistic driving study investigated how drivers deploy visual attention in a partially automated vehicle. Background: Vehicle automation is rapidly increasing across vehicle fleets. This increase in automation will likely have both positive and negative consequences as drivers learn to use the new technology. Research is needed to understand how drivers interact with partially automated vehicle systems and what impact new technology has on driver attention. Method: Ten participants drove a Tesla Model S for 1 week during their daily commute on a stretch of busy interstate. Drivers were instructed to use Autopilot, a system that provides both lateral and longitudinal control, as much as they felt comfortable while driving on the interstate. Driver-facing video data were recorded and manually reduced to examine glance behavior. Results: Drivers primarily allocated their visual attention between the forward roadway (74% of glance time) and the instrument panel (13%). With partial automation engaged, drivers made longer single glances and had longer maximum total-eyes-off-road time (TEORT) associated with a glance cluster. Conclusion: These results provide a window into the nature of visual attention while driving with partial vehicle automation. The results suggest that drivers may be more willing to execute long, “outlier” glances and clusters of glances to off-road locations with partial automation. The findings highlight several important human factors considerations for partially automated vehicles.
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/00187208
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Supplemental Notes:
- © 2019, Human Factors and Ergonomics Society.
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Authors:
- Gaspar, John
- Carney, Cher
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0000-0001-6741-4433
- Publication Date: 2019-12
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1261-1276
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Serial:
- Human Factors
- Volume: 61
- Issue Number: 8
- Publisher: Sage Publications, Incorporated
- ISSN: 0018-7208
- EISSN: 1547-8181
- Serial URL: http://hfs.sagepub.com/
Subject/Index Terms
- TRT Terms: Attention; Automatic data collection systems; Automobile drivers; Automobile driving; Driver support systems; Eye movements; Level 2 driving automation; Visual perception
- Identifier Terms: Tesla automobile
- Subject Areas: Data and Information Technology; Highways; Safety and Human Factors; Vehicles and Equipment;
Filing Info
- Accession Number: 01724162
- Record Type: Publication
- Files: TRIS
- Created Date: Dec 2 2019 10:03AM