국립부경대학교 안전공학전공

§   2020.09 University of Tsukuba, Graduate School of System and Information Engineering, Department of Risk Engineering, 공학박사

§   2017.03 University of Tsukuba, Graduate School of System and Information Engineering, Department of Risk Engineering, 공학석사

§   2015.03 University of Tsukuba, School of Informatics, College of Information Science (Specialised Subject: Machine Intelligence and Media Technologies), 공학사

   §   2022.09-2024.03 Collaborative Researcher, Keio University Global Research Institute, Mobility Culture Research Center, Shin-Kawasaki, Japan

    §   2022.10-2023.08 Assistant Professor, Faculty of Engineering, Department of Intelligent Mechanical Systems 

                         | Graduate School of Natural Science and Technology, Okayama University, Okayama, Japan

   §   2021.07-2022.09 Assistant Professor, Faculty of Engineering, Information and Systems, University of Tsukuba, Tsukuba, Japan

   §   2020.10-2022.08 Project Assistant Professor, Faculty of Science and Technology, Keio University, Yokohama, Japan

§   Risk Management

§   Human-Machine Interaction

§   Human Error

§   Education/Training

        §   인간공학 (Ergonomics)

§   산업심리학 (Industrial Psychology)

§   위험성평가 (Risk Assessment)

§   경영과학1 (Operations Research)

§   레질리언스공학 (Resilience Engineering)

Google Scholar Page: https://scholar.google.com/citations?hl=ko&user=4z1XTp8AAAAJ&view_op=list_works

Journal Article (International)

§   Lau. M.*, Lee. J., Kitazaki. S., Daimon. T., & Oehl. M. (2023). 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?, Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2024.107719

§   Baby, T., Yoon, S. H., Lee, J., Cui, Z., Itoh, M., & Lee, S. C.* (2024). Development and validation of automated driving behavior questionnaire (ADBQ). Transportation Research Part F: Traffic Psychology and Behaviour, 103, 608-622. https://doi.org/10.1016/j.trf.2024.05.014

§   Lee, J.*, & Daimon, T. (2024). Not Always Good: Mitigating Pedestrians’ Less Careful Crossing Behavior by External Human-Machine Interfaces on Automated Vehicles. International Journal of Human？Computer Interaction, 1？13. https://doi.org/10.1080/10447318.2024.2352212

§   Baby. T., ？ahin. H. I., Wintersberger. P., Zhang. Y., Yoon. S. H., Lee. J., & Lee. S. C.* (2024). Development and Classification of Autonomous Vehicle’s Ambiguous Driving Scenario, Accident Analysis & Prevention. https://doi.org/10.1016/j.aap.2024.107501

§   Lee. J.*, & Daimon. T. (2023). Communication Strategies for Effective Interaction with Pedestrians and Automated Service Vehicles in Japanese Parking Areas. International Journal of Human-Computer Interaction. https://doi.org/10.1080/10447318.2023.2285622

§   Long. S., Lee. J., Yamani, Y.*, Unverricht., J., & Itoh. M. (2022). Does automation trust evolve from a leap of faith? An analysis using a reprogrammed pasteurizer simulation task. Applied Ergonomics, 100(April 2022): 103674. https://doi.org/10.1016/j.apergo.2021.103674

§   Lee. J.*, Abe. G., Sato. K., & Itoh, M. (2021). Developing human-machine trust: Impacts of prior instruction and automation failure on driver trust in partially automated vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 81(August 2021): 384-395. https://doi.org/10.1016/j.trf.2021.06.013

§   Lee. J.*, Yamani, Y., Long. S., Unverricht., J., & Itoh. M. (2021). Revisiting human-machine trust: a replication study of Muir and Moray (1996) using a simulated pasteurizer plant task. Ergonomics, 64(9): 1132-1145. https://doi.org/10.1080/00140139.2021.1909752

§   Lee. J.*, Abe. G., Sato. K., & Itoh. M. (2020). Effects of Demographic Characteristics on Trust in Driving Automation. Journal of Robotics and Mechatronics, 32(3): 605-612. https://doi.org/10.20965/jrm.2020.p0605

§   Lee. J.*, & Itoh, M. (2020). Effects of driver compensatory behaviour on risks of critical pedestrian collisions under simulated visual field defects. PLoS one, 15(4), e0231130. https://doi.org/10.1371/journal.pone.0231130

Conference Proceeding with Peer-Review

§   Cui, Z., Tu, N., Lee. J., & Itoh, M. (2025). Influence of Automobile Brand on the Bases of Initial Trust in Driving Automation, 27th International Conference on Human-Computer Interaction.

§   Lee, J., & Daimon, T. (2024). Trust in Driverless Service Mobility: Communication Methods for Pedestrian Crossing on Residential Narrow Roads. In Adjunct Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI '24 Adjunct). Association for Computing Machinery, New York, NY, USA, 78？81. https://doi.org/10.1145/3641308.3685027

§   Cui. Z., Tu. N., Lee. J., & Itoh. M. (2024). Influence of Demographic Factors on the Structure of Initial Trust in Autonomy Driving. the 68th Annual Meeting of the Human Factors and Ergonomics Society, Arizona, USA.

§   Cui. Z., Yang. G., Lee. S. C., Lee. J. & Itoh. M. (2023). Relationship between people’s mental programs and trust in automation. the 67th Annual Meeting of the Human Factors and Ergonomics Society, Washington D.C., USA.

§   Imamura, S., Lee, J., Rekimoto. J., & Itoh, M. (2023). Advantage of Gaze-Only Content Browsing in VR using Cumulative Dwell Time Compared to Hand Controller. Proceedings of the 2023 ACM Symposium on Spatial User Interaction, Sidney, Australia.

§   Imamura, S., Lee, J., & Itoh, M. (2023). Control prediction based on cumulative gaze dwell time while browsing contents. In Proceedings of the 2023 Symposium on Eye Tracking Research and Applications (pp. 1-6), T？bingen, Germany.

§   Liu. Z., Lee. J., Kuwana. J., Zhou. H., & Itoh. M. (2023). Investigating Effects of Assistance Systems For Visually Impaired Drivers at Preventing Traffic Accidents, 6th International Conference on Intelligent Human Systems Integration: Integrating People and Intelligent Systems. Online.

§   Lee. J., Daimon. T., & Kitazaki. S. (2022). Exploring Assistance Methods for Communication between Pedestrians and Automated Vehicles: A Need-Driven Study in Japanese Depopulated Areas, 3rd IEEE International Conference on Human-Machine Systems. Online.

§   Vongvit. R., Lee. J., Itoh. M., & Lee. S. C. (2022). Meta-Trend of Trust Factors in Autonomous Vehicles, AutomotiveUI '22: Adjunct Proceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Seoul, Republic of Korea.

§   Dong. Y., Akahoshi, S., Lee. J., Saito. Y., & Itoh. M. (2022). Modeling User Requirements for Driver-Vehicle Interaction System in China, 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). Online.

§   Miller. L., Leitner. J., Kraus. J., Lee. J., Daimon. T., Kitazaki. S.,& Baumann. M. Time to Arrival as Predictor for Uncertainty and Cooperative Driving Decisions in Highly Automated Driving, The 2022 IEEE Intelligent Vehicles Symposium (IV22). Aachen, Germany.

§   Soshiroda. J., Lee. J., Daimon. T., & Kitazaki. S. (2021). Stopping Position Matters: Drawing A Better Communication between Pedestrian and Driverless Automated Vehicles on Narrow Roads, the 65th Annual Meeting of the Human Factors and Ergonomics Society. Online.

§   Lee. J., Daimon. T., & Kitazaki. S. (2021). Negative Effects of External Human-Machine Interface in Automated Vehicles on Pedestrian Crossing Behaviour: A Virtual Reality Experiment. International Ergonomics Association 21st Triennial Congress. Online.

§   Lee. J., Hirano. T., & Itoh, M. (2020) Making Passenger Conversation in Partial Driving Automation: Effects of Relationship Between Driver and Passenger on Driver Fatigue and Driving Performance, the 2020 IEEE International Conference on Systems, Man, and Cybernetics.  Online.

§   Lee. J., Abe. G., Sato. K., & Itoh, M. (2020). Preliminary Investigation of System Transparency and System Failure on Driver Trust in Partial Vehicle Automation, the 64th Annual Meeting of the Human Factors and Ergonomics Society. Online.

§   Fujino. M., Lee. J., Hirano. T., Saito. Y., Itoh. M. (2020). Comparison of SAGAT and SPAM For Seeking Effective Way to Evaluate Situation Awareness and Workload During Air Traffic Control Task, the 64th Annual Meeting of the Human Factors and Ergonomics Society. Online.

§   Lee. J., Abe. G., Sato. K., & Itoh, M. (2020). Impacts of System Transparency and System Failure on Driver Trust During Partially Automated Driving, 1st IEEE International Conference on Human-Machine Systems. Online.

§   Hirano. T., Lee. J., Saito. Y., & Itoh, M. (2020). Analysis of Effects of Conversation Frequency on Driver Situation Awareness During Partially Automated Driving. Proceedings of the 43th Intelligent System Symposium, Aichi, Japan. (in Japanese)

§   Lee. J., Hirano. T., Hano. T., & Itoh, M. (2019) Conversation during Partially Automated Driving: How Attention Arousal is Effective on Maintaining Situation Awareness, the 2019 IEEE International Conference on Systems, Man, and Cybernetics, Bari, Italy.

§   Hirano. T., Lee. J., & Itoh, M. (2018). Effects of Auditory Stimuli and Verbal Communications on Driver’s Situation Awareness in Partially Automated Driving, Proceedings of the SICE Annual Conference, Nara, Japan.

§   Lee, J., Yamani, Y., & Itoh, M. (2018). Revisiting Trust in Machines: Examining Human-Machine Trust Using a Reprogrammed Pasteurizer Task, Proceedings of the 62th Annual Meeting of the Human Factors and Ergonomics Society, Philadelphia, USA.

§   Lee, J., & Itoh, M. (2017). Driver Compensation: Reducing The Risk of Pedestrian Collisions under Visual Field Contraction, the 2017 IEEE International Conference on Systems, Man, and Cybernetics, Banff, Canada.

§   Lee, J., Itoh, M., & Inagaki, T. (2016). Effectiveness of Driver Compensation to Avoid Vehicle Collision under Visual Field Contraction, Proceedings of the 60th Annual Meeting of the Human Factors and Ergonomics Society, Washington D.C., USA.

§   Lee. J., Itoh, M., & Inagaki, T. (2015). Limitation of Driver’s Compensation under Visual Field Contraction, Industrial Electronics Society, IECON 2015 - 41st Annual Conference of the IEEE, Yokohama, Japan.

Oral Presentation

§   Cui. Z., Tu. N, Lee. J., & Itoh. M. (2023). Influence of Demographic Factors and Automobile Brands on the Structure of Initial Trust in Driving Automation. Transportation Research Board 102nd Annual Meeting 2022, Online. (Peer-reviewed)

§   Lee. J., Daimon. T., & Kitazaki. S. (2022). Vehicle Behaviour + External Human-Machine Interface = ?: Investigating Impacts of Implicit and Explicit Cues from Automated Vehicles in Japanese Parking Areas, 1st International Conference on Hybrid Societies, Online.

§   Soshiroda. J., Lee. J., & Daimon. T. (2021). Investigating Strategies for Communication between Automated Service Vehicles and Pedestrian on Narrow Roads When Pedestrian Crossing, Mobile’22, Online.

§   Lee. J., Zhou. H., Leung. C., Itoh. M., & Kitazaki. S. (2021). What Automated Vehicle HMIs Should Display?: Driver Response to Critical Situations Where Automation Failed to Detect Traffic Hazards. International Ergonomics Association 21st Triennial Congress. Online. (Peer-reviewed)

§   Lee. J., Hirano. T., & Itoh, M. (2020). Conversation in Automated Vehicles: Does Relation Between Driver and Passenger Affect Driver Fatigue and Driving Performance?, Transportation Research Board 99th Annual Meeting 2020, Washington D.C., USA. (Peer-reviewed)

§   Kunimatsu-Sanuki, S., Iwase, A., Matsumoto, C., Ono, H., Suzukamo, Y., Itoh, M., Lee, J., & Araie, M. (2015). An assessment of driving performance of patients with visual field contraction in a driving simulator (Second report), The 69th Annual Congress of Japan Clinical Ophthalmology, Nagoya, Japan.

§   Lee. J., Itoh, M., & Inagaki, T. (2015). Analyses of driver compensative behavior under visual field contraction, JSAE KANTO International Conference of Automotive Technology for Young Engineers, Chiba, Japan.

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