Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality

25 Pages Posted: 25 Jan 2022

See all articles by Feng Zhou

Feng Zhou

University of Michigan at Dearborn

Abstract

With the level of automation increases in vehicles, such as conditional and highly automated vehicles (AVs), drivers are becoming increasingly out of the control loop, especially in unexpected driving scenarios. Although it might be not necessary to require the drivers to intervene on most occasions, it is still important to improve drivers' situation awareness (SA) in unexpected driving scenarios to improve their trust in and acceptance of AVs. In this study, we conceptualized SA at the levels of perception (SA L1), comprehension (SA L2), and projection (SA L3), and proposed an SA level-based explanation framework based on explainable AI. Then, we examined the effects of these explanations and their modalities on drivers' situational trust, cognitive workload, as well as explanation satisfaction. A three (SA levels: SA L1, SA L2 and SA L3) by two (explanation modalities: visual, visual + audio) between-subjects experiment was conducted with 340 participants recruited from Amazon Mechanical Turk. The results indicated that explanations with the proposed model significantly improved the participants' SA, resulting in increased situational trust in SA L2. The results also provided insights into the relationship between the amount of information in explanations and modalities, showing that participants were more satisfied with visual-only explanations in the SA L1 and SA L2 conditions and were more satisfied with visual and auditory explanations in the SA L3 condition. Finally, we found that the cognitive workload was also higher in SA L2, possibly because the participants were actively interpreting the results, consistent with a higher level of situational trust. These insights showed that our proposed SA-based framework provided important implications on how to explain AV behavior in conditional and highly automated driving.

Keywords: Explanations, Situation awareness, Modality, Automated driving

Suggested Citation

Zhou, Feng, Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality. Available at SSRN: https://ssrn.com/abstract=4017144 or http://dx.doi.org/10.2139/ssrn.4017144

Feng Zhou (Contact Author)

University of Michigan at Dearborn ( email )

4901 Evergreen Road
Dearborn, MI 48128-1491
United States

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
68
Abstract Views
379
Rank
731,010
PlumX Metrics