Beyond mere take-over requests: The effects of monitoring requests on driver attention, take-over performance, and acceptance. (May 2019)
- Record Type:
- Journal Article
- Title:
- Beyond mere take-over requests: The effects of monitoring requests on driver attention, take-over performance, and acceptance. (May 2019)
- Main Title:
- Beyond mere take-over requests: The effects of monitoring requests on driver attention, take-over performance, and acceptance
- Authors:
- Lu, Z.
Zhang, B.
Feldhütter, A.
Happee, R.
Martens, M.
De Winter, J.C.F. - Abstract:
- Highlights: We provided drivers with a monitoring request (MR) before a take-over request (TOR). We showed advantages of MR + TOR compared to TOR-only. Errors of omission occurred when the MR was not followed by a TOR. Abstract: In conditionally automated driving, drivers do not have to monitor the road, whereas in partially automated driving, drivers have to monitor the road permanently. We evaluated a dynamic allocation of monitoring tasks to human and automation by providing a monitoring request (MR) before a possible take-over request (TOR), with the aim to better prepare drivers to take over safely and efficiently. In a simulator-based study, an MR + TOR condition was compared with a TOR-only condition using a within-subject design with 41 participants. In the MR + TOR condition, an MR was triggered 12 s before a zebra crossing, and a TOR was provided 7 s after the MR onset if pedestrians crossing the road were detected. In the TOR-only condition, a TOR was provided 5 s before the vehicle would collide with a pedestrian if the participant did not intervene. Participants were instructed to perform a self-paced visual-motor non-driving task during automated driving. Eye tracking results showed that participants in the MR + TOR condition responded to the MR by looking at the driving environment. They also exhibited better take-over performance, with a shorter response time to the TOR and a longer minimum time to collision as compared to the TOR-only condition. SubjectiveHighlights: We provided drivers with a monitoring request (MR) before a take-over request (TOR). We showed advantages of MR + TOR compared to TOR-only. Errors of omission occurred when the MR was not followed by a TOR. Abstract: In conditionally automated driving, drivers do not have to monitor the road, whereas in partially automated driving, drivers have to monitor the road permanently. We evaluated a dynamic allocation of monitoring tasks to human and automation by providing a monitoring request (MR) before a possible take-over request (TOR), with the aim to better prepare drivers to take over safely and efficiently. In a simulator-based study, an MR + TOR condition was compared with a TOR-only condition using a within-subject design with 41 participants. In the MR + TOR condition, an MR was triggered 12 s before a zebra crossing, and a TOR was provided 7 s after the MR onset if pedestrians crossing the road were detected. In the TOR-only condition, a TOR was provided 5 s before the vehicle would collide with a pedestrian if the participant did not intervene. Participants were instructed to perform a self-paced visual-motor non-driving task during automated driving. Eye tracking results showed that participants in the MR + TOR condition responded to the MR by looking at the driving environment. They also exhibited better take-over performance, with a shorter response time to the TOR and a longer minimum time to collision as compared to the TOR-only condition. Subjective evaluations also showed advantages of the MR: participants reported lower workload, higher acceptance, and higher trust in the MR + TOR condition as compared to the TOR-only condition. Participants' reliance on automation was tested in a third drive (MR-only condition), where automation failed to provide a TOR after an MR. The MR-only condition resulted in later responses (and errors of omission) as compared to the MR + TOR condition. It is concluded that MRs have the potential to increase safety and acceptance of automated driving as compared to systems that provide only TORs. Drivers' trust calibration and reliance on automation need further investigation. … (more)
- Is Part Of:
- Transportation research. Volume 63(2019)
- Journal:
- Transportation research
- Issue:
- Volume 63(2019)
- Issue Display:
- Volume 63, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 63
- Issue:
- 2019
- Issue Sort Value:
- 2019-0063-2019-0000
- Page Start:
- 22
- Page End:
- 37
- Publication Date:
- 2019-05
- Subjects:
- Automobile drivers -- Psychology -- Periodicals
Automobile driving -- Psychological aspects -- Periodicals
Transportation -- Psychological aspects -- Periodicals
629.283019 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13698478 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.trf.2019.03.018 ↗
- Languages:
- English
- ISSNs:
- 1369-8478
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9026.274650
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16642.xml