How internal and external risks affect the relationships between trust and driver behavior in automated driving systems. (February 2021)
- Record Type:
- Journal Article
- Title:
- How internal and external risks affect the relationships between trust and driver behavior in automated driving systems. (February 2021)
- Main Title:
- How internal and external risks affect the relationships between trust and driver behavior in automated driving systems
- Authors:
- Azevedo-Sa, Hebert
Zhao, Huajing
Esterwood, Connor
Yang, X. Jessie
Tilbury, Dawn M.
Robert, Lionel P. - Abstract:
- Highlights: A within-subject experiment (n = 37) examines how risk type impacts ADS trust. Internal risk manipulated by ADS reliability; external risk by visibility. Low reliability reduced ADS trust; low visibility did not. Reliability reduced the impact of ADS trust on NRDT performance; visibility did not. Visibility reduced the impact of ADS trust on monitoring; reliability did not. Abstract: Automated driving systems (ADSs) allow vehicles to engage in self-driving under specific conditions. Along with the potential safety benefits, the increase in productivity through non-driving-related tasks (NDRTs) is often cited as a motivation behind the adoption of ADSs. Although advances have been made in understanding both the promotion of ADS trust and its impact on NDRT performance, the influence of risk remains largely understudied. To fill this gap, we conducted a within-subjects experiment with 37 licensed drivers using a simulator. Internal risk was manipulated by ADS reliability and external risk by visibility, producing a 2 (ADS reliability) × 2 (visibility) design. The results indicate that high reliability increases ADS trust and further enhances the positive impact of ADS trust on NDRT performance, while low visibility reduces the negative impact of ADS trust on driver monitoring. Results also suggest that trust increases over time if the system is reliable and that visibility did not have a significant impact on ADS trust. These findings are important for the designHighlights: A within-subject experiment (n = 37) examines how risk type impacts ADS trust. Internal risk manipulated by ADS reliability; external risk by visibility. Low reliability reduced ADS trust; low visibility did not. Reliability reduced the impact of ADS trust on NRDT performance; visibility did not. Visibility reduced the impact of ADS trust on monitoring; reliability did not. Abstract: Automated driving systems (ADSs) allow vehicles to engage in self-driving under specific conditions. Along with the potential safety benefits, the increase in productivity through non-driving-related tasks (NDRTs) is often cited as a motivation behind the adoption of ADSs. Although advances have been made in understanding both the promotion of ADS trust and its impact on NDRT performance, the influence of risk remains largely understudied. To fill this gap, we conducted a within-subjects experiment with 37 licensed drivers using a simulator. Internal risk was manipulated by ADS reliability and external risk by visibility, producing a 2 (ADS reliability) × 2 (visibility) design. The results indicate that high reliability increases ADS trust and further enhances the positive impact of ADS trust on NDRT performance, while low visibility reduces the negative impact of ADS trust on driver monitoring. Results also suggest that trust increases over time if the system is reliable and that visibility did not have a significant impact on ADS trust. These findings are important for the design of intelligent ADSs that can respond to drivers' trusting behaviors. … (more)
- Is Part Of:
- Transportation research. Volume 123(2021)
- Journal:
- Transportation research
- Issue:
- Volume 123(2021)
- Issue Display:
- Volume 123, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 123
- Issue:
- 2021
- Issue Sort Value:
- 2021-0123-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-02
- Subjects:
- Trust -- Semi-automated driving -- Human-automation interaction -- Human-automation teaming -- Risk
Transportation -- Periodicals
Transportation -- Technological innovations -- Periodicals
388.011 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0968090X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.trc.2021.102973 ↗
- Languages:
- English
- ISSNs:
- 0968-090X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9026.274620
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British Library HMNTS - ELD Digital store - Ingest File:
- 22853.xml