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Published on: April 18, 2017
Task Interruption and Control Recovery Strategies After Take-Over Requests Emphasize Need for Measures of Situation
Tobias Vogelpohl1, Franziska Gehlmann2, Mark Vollrath1
1Technische Universität Braunschweig, Germany.
Objective:
Our objective was to determine whether there is a need to go beyond measures of automation deactivation time to understand the transition to manual driving after take-over requests (TORs) using the example of office tasks as nondriving-related tasks (NDRTs).
Background:
Office tasks are likely NDRTs during automated commutes to/from work. Complex tasks can influence how manual control and visual attention is recovered after TORs.
Method:
N = 51 participants in a driving simulator performed either one of two office tasks or no task (between subjects). We recorded reaction times in a high-urgency and low-urgency scenario (within subjects) and analyzed task interruption strategies.
Results:
90% of the participants who performed an NDRT deactivated the automation after 7 to 8 s. However, 90% of the same drivers looked at the side mirror for the first time only after 11 to 14 s. Drivers with office tasks either interrupted the tasks sequentially or in parallel. Strategies were not adapted to the take-over situation or the task but appeared to be due to individual preferences.
Conclusion:
Drivers engaged in NDRTs may neglect lower priority subtasks after a TOR, such as mirror checking. Therefore, there is a need to go beyond measures of automation deactivation time to understand the transition to manual driving. Using analyses of attentional dynamics during take-over situations may enhance the safety of future car-driver handover assistance systems.
Application:
If low driver availability is detected, TORs should only be used as a fallback option if sufficient time and adaptive driver support can be provided.
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