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Authors: Yosuke Isono ; Hiroshi Yoshitake and Motoki Shino

Affiliation: Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, Japan

Keyword(s): Comfort Recognition, Situation Awareness, Autonomous Navigation, Personal Mobility Vehicle.

Abstract: The development of autonomous navigation systems for personal mobility vehicles is underway to support mobility in large-scale facilities such as airports and shopping malls where pedestrians coexist. One of the required functions of autonomous navigation is comfort, such as not causing anxiety to the passengers. The purpose of this study is to clarify the characteristics of passenger’s comfort recognition, that is, how the passenger feels comfortable depending on the behavior of the surrounding pedestrians and the vehicle when the personal mobility vehicle moves autonomously in a crowded environment. An experiment was conducted to obtain subjective assessment of passenger comfort using a VR simulator. By focusing on situation awareness as a process affecting passenger’s comfort recognition, the influence of situation awareness on passenger’s comfort recognition was analyzed and the characteristics of passenger’s comfort recognition were discussed.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Isono, Y.; Yoshitake, H. and Shino, M. (2022). Passenger’s Comfort Recognition during Autonomous Navigation of Personal Mobility Vehicles in Crowded Pedestrian Spaces. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - HUCAPP, ISBN 978-989-758-555-5; ISSN 2184-4321, pages 58-67. DOI: 10.5220/0010849700003124

@conference{hucapp22,
author={Yosuke Isono. and Hiroshi Yoshitake. and Motoki Shino.},
title={Passenger’s Comfort Recognition during Autonomous Navigation of Personal Mobility Vehicles in Crowded Pedestrian Spaces},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - HUCAPP,},
year={2022},
pages={58-67},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010849700003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - HUCAPP,
TI - Passenger’s Comfort Recognition during Autonomous Navigation of Personal Mobility Vehicles in Crowded Pedestrian Spaces
SN - 978-989-758-555-5
IS - 2184-4321
AU - Isono, Y.
AU - Yoshitake, H.
AU - Shino, M.
PY - 2022
SP - 58
EP - 67
DO - 10.5220/0010849700003124