Sooyeon Kim
Personal Information
- KeywordsHuman FactorsUser Experience ResearchAutonomous DrivingSocial Robot InteractionFamily Systems Theory
- Education (Institution)University of Wisconsin-Madison
- Emailkim2246@wisc.edu
Social Media & Links
- ResearchGatehttps://www.researchgate.net/profile/Soo-Kim-33
- ACM Digital Libraryhttps://dl.acm.org/profile/99661333652
- LinkedInhttps://www.linkedin.com/pub/dir/Sooyeon/Kim
Biography
Sooyeon Kim is a scholar specializing in human factors and user experience research, currently a Ph.D. candidate at the University of Wisconsin-Madison. Her research focuses on autonomous driving, social robot interaction design, and the application of family systems theory in interaction design. Her work aims to enhance human well-being through technology, particularly fostering collaboration between humans and automated systems in future hybrid societies. Sooyeon Kim has published multiple academic papers covering topics such as child-robot interaction, family-centered design methods, and user experience optimization in autonomous driving technologies.
Work Experience
- Present·University of Wisconsin-Madison·Ph.D. Candidate
- Conducting research in human factors and user experience, with an emphasis on social robot interaction and autonomous driving technologies.
Education
- Present·University of Wisconsin-Madison·Ph.D.
- Major: Industrial Engineering and Human Factors Engineering
This biography was generated by AI from publicly available information and may contain delays or inaccuracies.