Meta-Trend of Trust Factors in Autonomous Vehicles

  • Vongvit, R.
  • Lee, J.
  • Itoh, M.
  • Lee, S.C.
Citations

WEB OF SCIENCE

4
Citations

SCOPUS

6

초록

Autonomous vehicles (AVs) have the potential for the future of transportation and changes are expected in user perceptions and behaviors, where the autonomous driving technology system can perform all driving tasks. It was invented to drive without human involvement. However, users are concerned about the impact of AVs, such as safety, security, and environmental aspects. This paper is a report of a systematic review to identify and analyze the main factors affecting trust in AVs. We applied the Systematic Literature Review (SLR) method and the Pareto analysis was applied to investigate the relative importance of the factors affecting trust in AVs. We found fifty factors affecting trust in AVs in the collected literature and identified the important factors in terms of frequency. These factors can be considered the entry point for other both industry sectors and researchers. © 2022 Owner/Author.

키워드

Automated vehicleAutonomous vehicleSocio-technological factorsTrustACCEPTANCEAUTOMATIONKNOWLEDGESAFETYMODEL
제목
Meta-Trend of Trust Factors in Autonomous Vehicles
저자
Vongvit, R.Lee, J.Itoh, M.Lee, S.C.
DOI
10.1145/3544999.3552528
발행일
2022-09
유형
Proceedings Paper
저널명
Adjunct Proceedings - 14th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2022
페이지
94 ~ 98