2016Unpublished venueRequires access

How different mental workload levels affect the take-over control after automated driving

Mercedes Bueno, Ebru Doğan, F. Hadj Selem, Éric Monacelli, S. Boverie, A. Guillaume

Open publisher page 69 citations

Abstract

Automated driving represents a new way of driving and, therefore, significant changes in driver behaviour are expected. In this study, we analysed the impact of different levels of mental workload associated with a non-driving task in response to a take-over request (TOR). Thirty participants drove in a driving simulator through three experimental conditions: once in manual driving and twice following an automated driving during which a non-driving task was performed. The impact of the mental workload was evaluated by manipulating the mental workload induced by the non-driving task (low versus high mental workload). The results showed a negative effect of automated driving on take-over performance regardless of the level of mental workload. These results point out that engagement in non-driving task leads to reduced situation awareness. Interpretations of results and research prospects are discussed.

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What this paper is about

Automated driving represents a new way of driving and, therefore, significant changes in driver behaviour are expected. In this study, we analysed the impact of different levels of mental workload associated with a non-driving task in response to a take-over request (TOR). Thirty participants drove in a driving simulator through three experimental conditions: once in manual driving and twice following an automated driving during which a non-driving task was performed. The impact of the mental workload was evaluated by manipulating the mental workload induced by the non-driving task (low versus high mental workload). The results showed a negative effect of automated driving on take-over performance regardless of the level of mental workload. These results point out that engagement in non-driving task leads to reduced situation awareness. Interpretations of results and research prospects are discussed.

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OpenAlex reports 69 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Automated driving represents a new way of driving and, therefore, significant changes in driver behaviour are expected. In this study, we analysed the impact of different levels of mental workload associated with a non-driving task in response to a take-over request (TOR). Thirty participants drove in a driving simulator through three experimental conditions: once in manual driving and twice following an automated driving during which a non-driving task was performed. The impact of the mental workload was evaluated by manipulating the mental workload induced by the non-driving task (low versus high mental workload). The results showed a negative effect of automated driving on take-over performance regardless of the level of mental workload. These results point out that engagement in non-driving task leads to reduced situation awareness. Interpretations of results and research prospects are discussed.

Key concepts: Workload, Task (project management), Affect (linguistics), Driving simulator, Computer science, Control (management), Mental effort, Point (geometry)

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