Journal of Information Processing
Online ISSN : 1882-6652
ISSN-L : 1882-6652
Acceptability Evaluation of Inter-driver Interaction via a Vehicle Agent Using Vehicle-to-Vehicle Communication on a Driving Simulator
Toshiyuki HagiyaKazunari Nawa
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2021 Volume 29 Pages 667-675

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Abstract

Vehicle-to-vehicle (V2V) communication is expected to serve as a new information exchange method to help reduce traffic accidents. Most current services can notify drivers of dangers predicted by exchanging vehicle information. However, human drivers use multiple modalities to express their intentions, such as gestures and lights as well as vehicle behavior, even if these interactions can cause misunderstandings. A solution to reduce these misunderstandings is to exchange driver intentions via V2V communication. This study proposes the concept of exchanging driver intentions via a driver agent that understands the driver's utterance and sends a message using V2V communication. An experiment including five scenarios was conducted by employing the Wizard of Oz method on a driving simulator. The acceptability of the inter-driver interaction was evaluated by conducting a questionnaire survey and a semi-structured interview. Furthermore, we analyzed the relationship between acceptability and one's usual driving style. Consequently, we formed hypothesized key factors of the inter-driver interaction via V2V communication.

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© 2021 by the Information Processing Society of Japan
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