Examining the Effects of Emotional Valence and Arousal on Takeover Performance in Conditionally Automated Driving
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Abstract (arXiv)
In conditionally automated driving, drivers have difficulty in takeover transitions as they become increasingly decoupled from the operational level of driving. Factors influencing takeover performance, such as takeover lead time and the engagement of non-driving related tasks, have been studied in the past. However, despite the important role emotions play in human-machine interaction and in manual driving, little is known about how emotions influence drivers takeover performance. This study, therefore, examined the effects of emotional valence and arousal on drivers takeover timeliness and quality in conditionally automated driving. We conducted a driving simulation experiment with 32 participants. Movie clips were played for emotion induction. Participants with different levels of emotional valence and arousal were required to take over control from automated driving, and their takeover time and quality were analyzed. Results indicate that positive valence led to better takeover quality in the form of a smaller maximum resulting acceleration and a smaller maximum resulting jerk. However, high arousal did not yield an advantage in takeover time. This study contributes to the literature by demonstrating how emotional valence and arousal affect takeover performance. The benefits of positive emotions carry over from manual driving to conditionally automated driving while the benefits of arousal do not.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Jan 2020.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 1; 2024: 0; 2025: 1; 2026: 1.
6 papers.
- 2021Predicting Driver Takeover Time in Conditionally Automated Drivingcited by 4
- 2021Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipelinecited by 3
- 2021Predicting Driver Fatigue in Automated Driving with Explainabilitycited by 1
- 2023Human Comfortability Index Estimation in Industrial Human-Robot Collaboration Taskcited by 0
- 2025Dynamics of Affective States During Takeover Requests in Conditionally Automated Driving Among Older Adults with and without Cognitive Impairmentcited by 0
- 2026Emotion in an active inference model of human drivingcited by 0
- 2026Emotion in an active inference model of human driving9 Jun 2026
- 2025Dynamics of Affective States During Takeover Requests in Conditionally Automated Driving Among Older Adults with and without Cognitive Impairment23 May 2025
- 2023Human Comfortability Index Estimation in Industrial Human-Robot Collaboration Task28 Aug 2023
- 2021Disengagement Cause-and-Effect Relationships Extraction Using an NLP Pipeline5 Nov 2021
- 2021Predicting Driver Takeover Time in Conditionally Automated Driving20 Jul 2021
- 2021Predicting Driver Fatigue in Automated Driving with Explainability3 Mar 2021