Driving automation state-of-mind: Using training to instigate rapid mental model development.

Clicks: 215
ID: 65873
2019
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Abstract
The automotive industry is chugging along towards full autonomy, with a yet unknown time of arrival. The next call, however, is partial driving automation. At this interim station lurks many dangers, there-among them issues surrounding the partial performance of the driving task. Despite their potential for increased safety, these systems come with many inherent limitations and caveats, and their safe use depend on drivers correctly understanding their new role. Training is proposed as a potentially effective method of introducing drivers to the central aspects in this human-automation interaction. A proof-of-concept training program designed to introduce drivers to a partial automation system was developed. The effects of training were then evaluated through a between-group mixed-methods simulator experiment. Results indicate that trained drivers both self-report and exhibit an improved understanding of the automation system. They also report a significantly higher inclination to retake control in critical situation, than do their untrained counterparts.
Reference Key
krampell2019drivingapplied Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Krampell, Martin;Solís-Marcos, Ignacio;Hjälmdahl, Magnus;
Journal Applied ergonomics
Year 2019
DOI
S0003-6870(18)30321-1
URL
Keywords
driver training driving experience human-automation interaction

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