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Research
Journals
[3] Song, Y., Kim, D., & Yun, M. H., An Exploratory Study on Auditory Experience in Electric Vehicles: Understanding User Characteristics and Driving Contexts through Real-Driving Experiments. (Accepted in Human Factors)
[2] Song, Y., Bae, J., Shin, J., Yang, J., Kim, S., Bahn, S., & Yun, M. H., Real-Time Motion Sickness Measurement: Feasibility and Application of the Real-Time Motion Sickness Scale (RMS). (Accepted in Applied Ergonomics)
[1] Song, Y., Kim, W., & Yun, M. H. (2024). Auditory experience in vehicles: A systematic review and future research directions. Heliyon.
Work in Progress
[1] Song, Y., Lee, K., Shin, G., Yun, & M. H., Financial Services in the Era of Digital Transformation: An Integrated Approach Reflecting User Characteristics and Context of Use. (Under review)
Presentataions
International Conferences
[13] Kim, H., Song, Y., Yun, M. H., Kim, K. (2024) Development and Validation of an Ergonomic Posture Assessment System Utilizing Workplace Video Analysis. In 2024 IEEE IEEM
[12] Shin, J., Song, Y., ... & Yun, M. H. (2024). Evaluation of Usability and Arousal Levels in Electric Vehicles Using In-Vehicle Physiological Signals: A Focus on Motion Sickness. In IEA 2024
[11] Song, Y., (2024). AI-Based Human Modeling for Optimizing Driving Comfort in Autonomous Vehicles. In IEA 2024
[10] Song, Y., Shin, J., Park, J., ... & Yun, M. H. (2024). An Evaluation Tool for Real-Time Motion Sickness in a Driving Environment. In 2024 HFES Annual Meeting
[9] Song, Y., Yoon, B., Park, ... & Yun, M. H. (2023). A Systematic Literature Review for Measure, Estimation, and Mitigation of Motion Sickness in Vehicle Environment. In 2023 HFES Annual Meeting
[8] Song, Y., Lee, J., Wang, C., & Yun, M. H. (2023). Enhance auditory experience by identifying user needs and classifying user types while driving electric vehicles. In 2023 HFES Annual Meeting
[7] Song, Y., Choi, M., Ahn, S., & Yun, M. H. (2023) A Framework for the Design and Evaluation of Auditory Experience in Vehicle Environment Based on the Literature Review. In 2023 HFES Annual Meeting
[6] Song, Y., Park, J., Wang, C., & Yun, M. H. (2023). Exploring the Latest Trends in Motion Sickness Research: A Network Analysis Approach, In 2023 ACED
[5] Yoon, B. Y., Ahn, S. H., Oh, J., Song, Y., ... & Yun, M. H. (2023). JS-01 Exploring Korean Female Lower Body Classification based on Factor Analysis and Fuzzy C-means Clustering. In 2023 ESK & JES Joint Symposia
[4] Seu, D., Song, Y., Wang, C., ... & YUN, M. H. (2023). JS-02 Semantic Network Analysis of ChatGPT Research: An Interdisciplinary Perspective. In 2023 ESK & JES Joint Symposia
[3] Song, Y., Yun, M. H., Nam, C. S., ...(2022). A Study on the Driver-Vehicle Interaction System in Autonomous Vehicles Considering Driver’s Attention Status. In 2022 IEEE SMC
[2] Wang, C., Kim, S. Y., Song, Y., ... & Yun, M. H. (2022). Text Mining for Exploring UX Issues of Qualitative Think Aloud Data on EV Sound. In 2022 IEEE IEEM
[1] Song, Y., Kim, S., Lazaro, M. J., Ha, S., & Yun, M. H. (2021) A Study on User Characteristics and User Types in Designing Auditory Experience for Electric Vehicles. In 2021 IEEE IEEM
Domestic Conferences
[12] Song, Y., Lee, K., Shin, G., Yun, & M. H. (2024). Enhancing User Experience in Integrated Financial Services:
Insights from a Text Analysis on Daily Reconstruction Method. In 2024 ESK
[11] Shin, J., Song, Y., Bae, J., Yang, J., & Yun, M. H. (2024). Development of a Model for Predicting Motion Sickness Using Electrocardiogram (ECG). In 2024 KSNVE
[10] Rhui, E., Song, Y., Bae, J., ... & Yun, M. H. (2024). Usability Evaluation and Design Recommendations for User-Centered Smart TV Remote Control. In 2024 HCI Korea
[9] Song, Y., Oh, M., Yoon, B., ... & Yun, M. H. (2023) Development of Navigational Aids Training Content and Human Resource Development Strategy based on Ergonomics Knowledge, In 2023 ESK
[8] Heo, J., Park, J., Song, Y., ... & Yun, M. H. (2023). Emotion Regulation Infotainment System for Driver Safety. In 2023 KIIE spring
[7] Song, Y., Seu, D., Jung, W., Kim, W., & Yun, M. H. (2022. 10). Identifying User Needs for Electric Vehicle Driving Sound Based on Driving Context Using LDA Topic Modeling. In 2022 ESK
[6] Heo, J., Kim, S., Lee, J., Song, Y., ... & Yun, M. H. (2022). A Study on the Relationship Between Driver's Emotion and Attention Level Based on Deep Learning Analysis of Facial Expressions. In 2022 ESK
[5] Oh, M., Song, Y., Kang, A. A., ... & Yun, M. H. (2022). Auditory user interface for autonomous vehicles: Focusing on non-driving task scenarios. In 2022 ESK
[4] Heo, J., Lazaro, M. J., Lee, J. H., Lee, K. J., Song, Y., ... & Yun, M. H. (2021). Identifying UX Issues for Multimodal Interaction of Intelligent Systems Using User-Centered Design Techniques. In 2021 ESK
[3] Song, Y., Kim, S., Kim, Y. H., Lee, Y., & Yun, M. H. (2020). A Study on the Affective Evaluation of Interior Driving Sound with User Factors and Acoustic Parameters. In 2020 ESK
[2] Kim, H., Song, Y., Lee, K., Kim, S., & Yun, M. H. (2020). Task Analysis and Identification of Accessibility Issues in Appliance Use for People with Disabilities Using Therblig. In 2020 ESK
[1] Kim, S., Song, Y., Lee, K., ...& Yun, M. H. (2020). Designing Consumer Personas and Customer Journey Maps for Financial Services Using Quantitative Everyday Reconstruction Method Data. In 2020 HCI Korea
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