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Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality by Avetisyan, Lilit; Ayoub, Jackie; Zhou, Feng is a scholarly article available to read on EtoBox.

What is Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality about?

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 by designing the explanations using the proposed SA-based framework, participants could redirect their attention to the important objects in the traffic and unde

Author

Avetisyan, Lilit; Ayoub, Jackie; Zhou, Feng

Published

2022

Language

EN