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Authors: Akio Nishimoto 1 ; Rinki Hirabayashi 1 ; Hiroshi Yoshitake 1 ; Kenichi Yamasaki 2 ; Genta Kurita 2 and Motoki Shino 1

Affiliations: 1 Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, Japan ; 2 Mitsubishi Precision, Co., Ltd., 345 Kamimachiya, Kamakura, Kanagawa, Japan

Keyword(s): Older Drivers, Safety Education, Overestimation, Optimism.

Abstract: Older drivers tend to overestimate their driving ability. This overestimation makes it difficult for them to drive safely. We considered why older drivers formed their overestimation and proposed a safety education method to correct it. The proposed method includes simulated experiences of collisions and near-miss events and reflection on their driving at the events. The proposed method was found effective for older drivers to correct their overestimation based on a participant experiment. However, compared to non-older drivers, the older drivers corrected their overestimation less. To investigate the reasons for this result, we analysed the method’s effectiveness on older drivers. Analysis results suggest that the optimistic interpretation of their own driving discourages older drivers from correcting their overestimation.

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Paper citation in several formats:
Nishimoto, A.; Hirabayashi, R.; Yoshitake, H.; Yamasaki, K.; Kurita, G. and Shino, M. (2023). Safety Education Method for Older Drivers to Correct Overestimation of Their Own Driving. 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 326-334. DOI: 10.5220/0011804900003417

@conference{hucapp23,
author={Akio Nishimoto. and Rinki Hirabayashi. and Hiroshi Yoshitake. and Kenichi Yamasaki. and Genta Kurita. and Motoki Shino.},
title={Safety Education Method for Older Drivers to Correct Overestimation of Their Own Driving},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - HUCAPP},
year={2023},
pages={326-334},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011804900003417},
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 - Safety Education Method for Older Drivers to Correct Overestimation of Their Own Driving
SN - 978-989-758-634-7
IS - 2184-4321
AU - Nishimoto, A.
AU - Hirabayashi, R.
AU - Yoshitake, H.
AU - Yamasaki, K.
AU - Kurita, G.
AU - Shino, M.
PY - 2023
SP - 326
EP - 334
DO - 10.5220/0011804900003417
PB - SciTePress

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