Yejin Kang

OverviewAI-generated summary

Yejin Kang's research focuses on the application of machine learning techniques to complex data for various domains. This includes work on randomized learning-based classification of sound quality using spectrogram images and time-series data, exploring a practical perspective for its implementation. Kang has also contributed to the development of datasets for autonomous navigation, specifically the MOANA dataset for maritime odometry and autonomous navigation applications, with publications in both 2024 and 2025. Further research involves understanding human interaction with automated systems, exemplified by studies on explaining takeover requests in conditionally automated driving, considering hazard types and explanation strategies. Additionally, Kang has investigated the development of scales for risk attitudes in automated driving through sentence elicitation and clustering studies. Kang has a h-index of 2 with 6 total publications and 9 total citations, and collaborates with Dongje Lee, Hanguen Kim, Jin‐Bum Park, and Jaeseong Koh at Hendrix College.

Metrics

• h-index: 2
• Publications: 6
• Citations: 10