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

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Paper

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

Topics: Agent-based Human-Computer-Interaction; Agent-based Human-Robot Interaction; Interaction Devices and Immersive Displays; Models for Human-Agent Interaction; Virtual, Augmented and Mixed Reality

In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISIGRAPP, 318-325, 2023 , Lisbon, Portugal

Authors: Ryunosuke Harada ; Hiroshi Yoshitake and Motoki Shino

Affiliation: Department of Human & Engineered Environmental Studies, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, 277-8563 Japan

Keyword(s): Autonomous Transportation, Personal Mobility Vehicles, Anxiety, Cognition, Eye Movements, Visual Information.

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 experi ments revealed that the visual information presented in this study significantly reduced passenger anxiety during the autonomous transportation of PMVs. (More)

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Paper citation in several formats:

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) - HUCAPP; ISBN 978-989-758-634-7; ISSN 2184-4321, SciTePress, pages 318-325. DOI: 10.5220/0011802800003417

@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) - HUCAPP},
year={2023},
pages={318-325},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011802800003417},
isbn={978-989-758-634-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - 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
IS - 2184-4321
AU - Harada, R.
AU - Yoshitake, H.
AU - Shino, M.
PY - 2023
SP - 318
EP - 325
DO - 10.5220/0011802800003417
PB - SciTePress