Can Visual Information Reduce Anxiety During Autonomous Driving? Analysis and Reduction of Anxiety Based on Eye Movements in Passengers of Autonomous Personal Mobility Vehicles

Ryunosuke Harada, Hiroshi Yoshitake, Motoki Shino

2023

Abstract

It is important to consider reducing passenger anxiety when promoting autonomous transportation services of personal mobility vehicles (PMVs). This research aims to identify when anxiety occurs based on the eye movements and subjective assessment of autonomous vehicle passengers and to reduce that anxiety by presenting visual information. Temporal changes in passenger’s anxiety while passing through a group of pedestrians were investigated by an experiment using a driving simulator. By analyzing the passenger’s eye movements and subjective assessment, it was suggested that anxiety occurs with changes in the positional relationship with surrounding pedestrians and the sudden change in behavior of the PMV. Moreover, the results suggested that anxiety can be reduced by the presentation of visual information with the effect of visual guidance that diverts passenger’s attention from anxiogenic pedestrians and provides content that conveys PMV’s intention of its behavior. Additional experiments revealed that the visual information presented in this study significantly reduced passenger anxiety during the autonomous transportation of PMVs.

Paper Citation

in Harvard Style

Harada R., Yoshitake H. and Shino M. (2023). Can Visual Information Reduce Anxiety During Autonomous Driving? Analysis and Reduction of Anxiety Based on Eye Movements in Passengers of Autonomous Personal Mobility Vehicles. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP; ISBN 978-989-758-634-7, SciTePress, pages 318-325. DOI: 10.5220/0011802800003417

in Bibtex Style

@conference{hucapp23,
author={Ryunosuke Harada and Hiroshi Yoshitake and Motoki Shino},
title={Can Visual Information Reduce Anxiety During Autonomous Driving? Analysis and Reduction of Anxiety Based on Eye Movements in Passengers of Autonomous Personal Mobility Vehicles},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP},
year={2023},
pages={318-325},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011802800003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP
TI - Can Visual Information Reduce Anxiety During Autonomous Driving? Analysis and Reduction of Anxiety Based on Eye Movements in Passengers of Autonomous Personal Mobility Vehicles
SN - 978-989-758-634-7
AU - Harada R.
AU - Yoshitake H.
AU - Shino M.
PY - 2023
SP - 318
EP - 325
DO - 10.5220/0011802800003417
PB - SciTePress