Daimon, Tatsuru

写真a

Affiliation

Faculty of Science and Technology, Department of Industrial and Systems Engineering ( Yagami )

Position

Professor

E-mail Address

E-mail address

Contact Address

3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa, Japan
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Career 【 Display / hide 】

  • 1995.04
    -
    1996.03

    獨協大学　講師(非常勤)

  • 1995.04
    -
    1996.03

    工業技術院生命工学工業研究所　特別研究員

  • 1996.06
    -
    1996.12

    フランス国立交通安全研究所　研究員

  • 1997.01
    -
    1997.03

    工業技術院生命工学工業研究所　特別研究員

  • 1997.04
    -
    1997.09

    大学訪問研究員(理工学部)

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Academic Background 【 Display / hide 】

  • 1995.03

    Keio University, 大学院理工学研究科

    Graduate School, Completed, Doctoral course

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Academic Degrees 【 Display / hide 】

  • 工学, Keio University, Coursework, 1995.03

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Books 【 Display / hide 】

  • 自動車技術ハンドブック 第三分冊 人間工学編 7-2-1(2) 車載ナビゲーション使用時のドライバ情報処理モデル

    DAIMON TATSURU, (公社)自動車技術会, 2016.03

    Scope: 584-588

  • 自動車技術ハンドブック 第三分冊 人間工学編 2-2-5(5) 実験デザイン

    DAIMON TATSURU, (公社)自動車技術会, 2016.03

    Scope: 69-73

  • 自動車技術ハンドブック 第三分冊 人間工学編 6-1-2(1) 質問紙によるワークロード評価

    DAIMON TATSURU, (公社)自動車技術会, 2016.03

    Scope: 449-454

  • 自動車技術ハンドブック 第三分冊 人間工学編 6-2-1(2)経路案内と地図表示

    KASUBUCHI TAKERO, DAIMON TATSURU, (公社)自動車技術会, 2016.03

    Scope: 468-475

  • 自動車技術ハンドブック 第三分冊 人間工学編 6-1-1(4) トラッキングタスク

    DAIMON TATSURU, (公社)自動車技術会, 2016.03

    Scope: 446-449

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Papers 【 Display / hide 】

  • Understanding Electric Scooter Fall Accidents Through Human–Vehicle–Environment Interactions: A Systematic Literature Review Using the Haddon Matrix

    Nathania C.J., Zhou H., Daimon T., Lee J.

    Applied Sciences Switzerland 16 ( 10 )  2026.05

    　View Summary

    This study aimed to investigate how human, vehicle, and environment (HVE)-related factors and their interactions contribute to fall accidents related to electric scooters (e-scooters). Falls are the most common type of e-scooter accidents, and developing a thorough understanding of the factors that contribute to these accidents is critical for effective accident prevention. Unlike collisions, falls frequently result from the complex interaction among the rider, the vehicle, and the environment. To this end, this study conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines and uses the Haddon Matrix framework to identify and classify factors related to e-scooter fall accidents from HVE perspectives, spanning the pre-fall and fall phases. The findings suggest that e-scooter fall accidents are multifactorial, resulting from the interaction of HVE-related factors across accident phases rather than from a single cause. Human-related factors, vehicle attributes, and environmental conditions were all found to contribute to fall risk, with notable interactions identified across all three dimensions. This study contributes to a better understanding of the mechanisms underlying e-scooter fall accidents by systematically identifying these factors and examining their interactions, highlighting the need for further investigation into HVE interactions across diverse accident contexts.

  • Pedestrian crossing strategy while interacting with multiple autonomous vehicles in local street intersections: Effects of road infrastructure

    Luu D.T., Baby T., Lee J., Daimon T., Lee S.C.

    Transportation Research Part F Traffic Psychology and Behaviour 118 2026.03

    ISSN  13698478

    　View Summary

    Crossing strategy refers to pedestrian objectives in choosing crossing patterns and their pace. To the best of our knowledge, there remains a deficiency in literature regarding pedestrian crossing strategies when interacting with autonomous vehicles (AVs). This study investigated the effect of various physical road infrastructures on pedestrian crossing strategies while interacting with multiple AVs. The effects of three infrastructures in a typical local street on the crossing strategies of pedestrians were identified using a structural equation model based on a stimulus–organism–response (SOR) framework. The stimulus included sidewalk, crosswalk, and/or legal on-street parking designed virtually in a four-lane local intersection, where frequent daily pedestrian–AV interactions occurred in a mixed neighborhood. The organism dimension of pedestrians was measured in terms of situation awareness (SA) and perceived risk (PR) when interacting with multiple AVs. Pedestrian crossing strategies, including their intended crossing patterns and speeds, were identified in the response dimension. Based on experimental data from 82 university students, the findings revealed that sidewalk and legal on-street parking significantly affected SA with coefficients of 0.155 and − 0.079, respectively, whereas the crosswalk had a remarkable association with PR by a coefficient of −0.098. In addition, there was a trade-off relationship between pedestrian patterns and speed (coefficient of −0.197) when interacting with multiple AVs. Our research on pedestrians interacting with multiple AVs provides novel insights to enhance the understanding of pedestrian crossing strategies and establish a comparison with the realities of crowded local roadways. These insights expand our knowledge of actual pedestrian crossing behaviors in the AV environment and support the production of safer street design guidelines.

  • Effect of Metaphor Design of AR-HUD for Route Guidance on Driver Judgement at Intersections

    #KOBAYASHI TAIKI(/)-#HR, KAZUSHI NIO, DAIMON TATSURU, NAKANO NOBUYUKI, INUKAI FUMIHITO, TANAKA AKIRA, SHIBATA TADASHI, NAGAI DAISUKE

    Transactions of the Society of Automotive Engineers of Japan (Society of Automotive Engineers of Japan)  56 ( 4 ) 779 - 785 2025.07

    Research paper (scientific journal), Joint Work, Last author, Corresponding author, Accepted,  ISSN  0287-8321

  • Investigating Implicit and Explicit Communication of Highly Automated Vehicles in Japan: How do Light-band eHMIs affect Pedestrians’ Willingness to Cross, Trust and Perceived Safety?

    Lau M., Lee J., Kitazaki S., Daimon T., Oehl M.

    Accident Analysis and Prevention 207 2024.11

    ISSN  00014575

    　View Summary

    In the near future, pedestrians will face highly automated vehicles on the roads. Highly automated vehicles (HAVs) should have safety-enhancing communication tools to guarantee traffic safety, e.g., vehicle kinematics and external human–machine interfaces (eHMIs). Pedestrians, as highly vulnerable road users, depend on communication with HAVs. Miscommunication between pedestrians and HAVs could quickly result in accidents, and this, in turn, could cause severe impairments for pedestrians. Light-band eHMIs have the potential to enhance traffic safety. However, eHMIs have been less explored in Japan so far. As a first-time approach, this experimental online study shed light on the effect of a light-band eHMI on Japanese pedestrians (N=99). In short video sequences, the participants interacted with two differently sized HAVs equipped with light-band eHMI. We investigated the effect of vehicle size (small vs. large), eHMI status (no eHMI vs. static eHMI vs. dynamic eHMI), and vehicle kinematics (yielding vs. non-yielding) on pedestrians’ willingness to cross, trust, and perceived safety. To investigate possible side effects of eHMIs, we also included experimental conditions in which the eHMI mismatched the vehicle's kinematics. Results revealed that Japanese were more willing to cross the street and indicated higher trust- and safety ratings when they received information about the vehicle's intention and automation status (dynamic eHMI) compared to when they received no information (no eHMI) or only about the vehicle automation status (static eHMI). Surprisingly, Japanese participants tended to rely on the eHMI when there was mismatching information between eHMI and vehicle kinematics. Overall, we concluded that light-band eHMIs could contribute to a safe future interaction between pedestrians and HAVs in Japan under the requirement that the eHMI is in accordance with vehicle kinematics.

  • Trust in Driverless Service Mobility: Communication Methods for Pedestrian Crossing on Residential Narrow Roads

    Lee J., Daimon T.

    16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2024 - Adjunct Conference Proceedings    78 - 81 2024.09

    　View Summary

    This study explored communication designs for driverless automated service vehicles (ASVs) and pedestrians' trust and perceived safety when pedestrians cross narrow roads in residential areas. Forty participants carried out VR experiments that simulated interactions between implicit (vehicle behavior) and explicit communications (text-based external human-machine interfaces (eHMI)) of two ASVs types (bus and golf cart) in residential areas. Results indicated that pedestrians were more likely to trust the bus-type ASV more when it stopped further away compared to decelerating relatively late. Pedestrians' perception of safety varied depending on the type of ASV, with the golf cart type being perceived as safer than the bus type. Further, pedestrians exhibited greater trust when the ASV did not display any messages. However, text messages indicating the ASV's status, such as”In Automated Driving,” improved their perception of safety. This highlights the need for effective communication methods to enhance road user attitudes towards ASVs.

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Papers, etc., Registered in KOARA 【 Display / hide 】

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Reviews, Commentaries, etc. 【 Display / hide 】

  • Analysis and Evaluation of Communication between Automated Vehicle and Surrounding Pedestrians ─Eff ect of External HMI on Pedestrian Judgment and Behavior Using Virtual Reality Environment─

    DAIMON TATSURU

    自動車技術 ((公社)自動車技術会)  77 ( 12 ) 84 - 90 2023.12

    Article, review, commentary, editorial, etc. (scientific journal), Single Work, Lead author, Corresponding author

  • Study of Communication between Vehicle and Surrounding Traffic Participants

    DAIMON TATSURU

    自動車技術 ((公社)自動車技術会)  74 ( 3 ) 72 - 78 2020.03

    Article, review, commentary, editorial, etc. (scientific journal), Single Work

  • Driver Distraction and its Evaluation

    DAIMON TATSURU

    自動車技術 ((公社)自動車技術会)  70 ( 4 ) 60 - 65 2016.04

    Article, review, commentary, editorial, etc. (scientific journal), Single Work

  • Analysis of the Process from Human Error to Traffic Accident focusing on Driver's OMOIKOMI and Situation Awareness

    IWAO MAYUMI, SHINOHARA KAZUMITSU, DAIMON TATSURU

    自動車技術 ((公社)自動車技術会)  70 ( 3 ) 89 - 94 2016.03

    Article, review, commentary, editorial, etc. (scientific journal), Joint Work

  • ドライバー特性に基づいた自動車の情報化・運転支援

    大門樹

    パナソニック技報 (パナソニック株式会社)  57 ( 3 ) 39 - 43 2011.10

    Article, review, commentary, editorial, etc. (other)

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Presentations 【 Display / hide 】

  • 高速道路の交通安全におけるヒューマンファクターの視点 ―運転支援と自動化における人間と機械の協調―

    大門樹

    [Domestic presentation]  2026年 首都高速道路株式会社 技術発表会 (東京) , 

    2026.06
    , 

    Oral presentation (invited, special), 首都高速道路株式会社

  • Vehicle Behaviour + External Human-Machine Interface = ?: Investigating Impacts of Implicit and Explicit Cues from Automated Vehicles in Japanese Parking Areas

    Jieun Lee, Jun Soshiroda, Kosuke Takizawa, Tatsuru Daimon, Satoshi Kitazaki

    [International presentation]  First International Conference on Hybrid Societies, 

    2023.03
    , 

    Oral presentation (general)

  • Differences in Pedestrian Behavior at Crosswalk Between Communicating With Conventional Vehicle and Automated Vehicle in Real Traffic Environment

    Masahiro Taima, Tatsuru Daimon

    [International presentation]  First International Conference on Hybrid Societies, 

    2023.03
    , 

    Oral presentation (general)

  • 自動運転車と周囲歩行者とのコミュニケーション

    大門 樹

    [Domestic presentation]  UTMS セミナー2022 (東京) , 

    2022.11
    , 

    Oral presentation (keynote), 一般社団法人UTMS 協会

  • 自動運転車と歩行者のコミュニケーション

    大門樹

    [Domestic presentation]  第7回 自動運転と共創する未来社会検討小委員会, 

    2022.03
    , 

    Other, 日本学術会議 自動運転と共創する未来社会検討小委員会

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Research Projects of Competitive Funds, etc. 【 Display / hide 】

  • 戦略的イノベーション創造プラグラム(SIP)第2期/自動運転(システムとサービスの拡張)/自動運転の高度化に則したHMI及び安全教育方法に関する調査研究

    2019.08
    -
    2022.02

    (国研)新エネルギー・産業技術総合開発機構ロボット・AI部, Commissioned ｒesearch, Principal investigator

  • 「戦略的イノベーション創造プログラム(SIP)自動走行システム／大規模実証実験／HMI」自動運転車と他の交通参加者とのコミュニケーション(課題C)

    2017.07
    -
    2018.02

    (国研)新エネルギー・産業技術総合開発機構ロボット・AI部, Commissioned ｒesearch, Principal investigator

  • 「戦略的イノベーション創造プログラム(SIP)・自動走行システム」 自動走行システムの実現に向けたHMI等のヒューマンファクタに関する調査検討(課題C)自動走行システムと他の交通参加者とのインターフェースに関わる課題

    2016.06
    -
    2017.03

    内閣府政策統括官（科学技術・イノベーション担当）, Commissioned ｒesearch, Principal investigator

  • 様々な交通状況における高齢ドライバーの情報処理特性および許容される情報量の検討

    2014.10
    -
    2015.03

    (一財)道路交通情報通信システムセンター, Commissioned ｒesearch, Principal investigator

  • ドライバーの認知情報処理に基づく様々な情報の定量化に関する実験的研究

    2014.06
    -
    2014.12

    (一財)道路交通情報通信システムセンター, Commissioned ｒesearch, Principal investigator

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Awards 【 Display / hide 】

  • 自動運転Awards「人への配慮」賞

    自動運転の高度化に則したHMI 及び安全教育方法に関する調査研究（慶應義塾大学, 産業技術総合研究所, 東京大学, 筑波大学, 熊本大学, 東京都ビジネスサービス), 2023.03, 自動運転 Awards審査委員会, 自動運転の高度化に則した HMI 及び安全教育方法に関する調査研究

    Type of Award： Other

  • 第20回 ITSシンポジウム2022 ベストポスター賞

    山口 諒, 大門 樹, 岩岡 浩一郎, 朝田 將, 織田 利彦, 2022.12, 特定非営利活動法人ITS Japan, 信号通過支援によるドライバー行動変容と周囲交通への影響に関する基礎的研究

    Type of Award： Award from Japanese society, conference, symposium, etc.

  • 技術部門貢献賞

    2014.08, (公社)自動車技術会

    Type of Award： Other

  • 第28回日本道路会議 優秀論文賞

    MUNEHIRO YUJI, MIYOSHI TAKAAKI, DAIMON TATSURU, UEDA ARITOSHI, 2009.11, 財団法人 日本道路会議, 道路施策評価を支援するモバイルDSの構築

    Type of Award： Award from Japanese society, conference, symposium, etc.

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Courses Taught 【 Display / hide 】

  • HUMAN FACTORS AND ERGONOMICS 1

    2026

  • GRADUATE RESEARCH ON INFORMATICS, MANAGEMENT, AND HUMAN SCIENCES 2

    2026

  • LABORATORIES IN INDUSTRIAL AND SYSTEMS ENGINEERING (1)

    2026

  • INDEPENDENT STUDY ON SCIENCE FOR OPEN AND ENVIRONMENTAL SYSTEMS

    2026

  • ADVANCED HUMAN FACTORS & ERGONOMICS 2

    2026

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Social Activities 【 Display / hide 】

  • 「睡魔と運転たった20分で眠りだす脳…予兆は眼球反射に」

    株式会社TBSテレビ, 報道特集, 

    , 
    2012.05

    　View Summary

    時に深刻な事故の原因となり、多くの犠牲者を出してきた居眠り運転。運転者たちの眠りの管理・改善はどこまで進んでいるのか？最新の科学で迫る「運転と睡魔の危うい関係」ハンドルを握る前の睡眠の改善、運転中の眠気撃退。“すぐそこにある危機”＝居眠りを、いかに回避するか？最新技術で検証

  • 「交通死増えＡＨＳへ高まる期待」－右折衝突防止支援システム－

    ハイウェイ エクスプレス４月号（第37号）協力：JH日本道路公団発行所：株式会社ジェイアールアイ, 

    , 
    2001.04

    　View Summary

    交差点部右折時に生じる直進車と右折車との間の衝突事故防止支援を目的として，インフラと車が協調して運転支援を行うAHS（走行支援システム）についての概要を述べ．また，AHSのヒューマンインタフェースに関して，現在慶應大学が取り組んでいる実験システムの概要と人間工学的観点からのアプローチの重要性に関しても概説した．

  • 「ITS」

    株式会社テレビ東京, テクノ探偵団, 

    , 
    2000.11

    　View Summary

    ITSの導入に当たり，ITS装置から情報をドライバに提供する際に生じる負荷を低減するために，ヒューマンインタフェースの設計・仕様が重要であるとの認識から，運転走行中に情報を取得しているドライバの指尖脈波にカオス解析を適用し，ドライバの負荷を評価する手法を説明し，実演した．

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Memberships in Academic Societies 【 Display / hide 】

  • NPO法人 スマートライフ学会, 

    2022.03
    -
    Present

  • (公社)土木学会, 

    2007.12
    -
    Present

  • NPO法人 モバイル学会, 

    2007.02
    -
    2022.03

  • Human Interface Society, 

    2004.03
    -
    Present

  • (公社)自動車技術会, 

    1995.05
    -
    Present

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Committee Experiences 【 Display / hide 】

  • 2024.04
    -
    Present

    委員長, 公益社団法人 自動車技術会 学術講演会運営委員会

  • 2024.04
    -
    Present

    委員, 公益社団法人 自動車技術会 技術会議

  • 2020.02
    -
    2021.02

    委員, 戦略的イノベーション創造プログラム(SIP)高度な自動運転実現のための狭域・中域情報の収集・統合・配信に係る研究開発運営委員会

  • 2018.11
    -
    2019.03

    大会長, シンポジウム「モバイル’19」

  • 2016.03
    -
    2022.03

    副会長, NPO法人モバイル学会

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