Myounghoon "Philart" Jeon
Assistant Professor, Cognitive Science
Assistant Professor, Computer Science
- PhD, Engineering Psychology and HCI, Georgia Institute of Technology, 2012
- MS, Engineering Psychology, Georgia Institute of Technology, 2010
- Film Scoring Expertise Institute, Yonsei University, 2007
- MS, Cognitive Science (Cognitive Engineering), Yonsei University, 2004
- BA, Psychology & Sociology, Yonsei University, 2000
Philart is an Assistant Professor in the Department of Cognitive and Learning Sciences and the Department of Computer Science at Michigan Tech and director of the Mind Music Machine (tri-M) Lab. His research areas encompass HCI, HRI, Auditory Displays, Affective Computing, Assistive Technologies, Aesthetic Computing, and Automotive Interface Design. His research has yielded more than 100 publications across top peer reviewed journals and conference proceedings. Now, he is editing a Handbook of Affective Sciences in H/F and HCI. He received his PhD from Georgia Tech in 2012. Previously, Philart worked at LG Electronics and was responsible for all of their automotive user interface design and sound design. His research has been supported by DOT (Department of Transportation), MDOT, NIH (National Institutes of Health), and MTTI (Michigan Tech Transportation Institute). Philart serves as an Associate Editor of MIT Journal Presence and chair elect of Affective Design Technical Committee of IEA (International Ergonomics Association). He has been also actively working in many international conferences as a session/program chair, program committee, and workshop organizer (ICAD, AutomotiveUI, HFES, CHI, MobileHCI, UbiComp, etc.). In addition, Philart has led many other industry projects in collaboration with Toyota, Hyundai-Kia Motors, General Electric, Samsung Electronics, and Panasonic Automotive, etc. His works have been recognized by awards, such as the IF Communication Design Award, and the Korean Ergonomic Design Award as well as best papers and posters in the international conferences.
- Human-Computer Interaction/ Human-Robot Interaction
- Auditory Displays/ Sonification
- Affective Computing/ Emotional Design
- Automotive User Interfaces
- Assistive Technology for Special Populations
- Aesthetic Computing/ Media Art
- Jeon, M., Gable, T. M., Davison, B. K., Nees, M., Wilson, J., & Walker, B. N. (2015). Menu navigation with in-vehicle technologies: Auditory menu cues improve dual task performance, preference, and workload. International Journal of Human-Computer Interaction, 31(1), 1-16.
- Jeon, M., Walker, B. N., & Yim, J-B. (2014). Effects of specific emotions on risk perception, driving performance, and perceived workload. Transportation Research Part F: Traffic Psychology and Behaviour, 24, 197-209.
- Jeon, M. Walker, B. N., & Gable, T. M. (2014). Anger effects on driver situation awareness and driving performance, Presence: Teleoperators and Virtual Environments, 23(1), 71-89.
- Jeon, M., & Lee, J-H. (2013). The ecological AUI (Auditory User Interface) design and evaluation of user acceptance for various tasks on smartphones, In M. Kurosu (Ed.), Human-Computer Interaction: Interaction Modalities and Techniques (PartIV), HCII2013, Lecture Note in Computer Science (LNCS) 8007, pp. 49-58. Heidelberg: Springer.
- Walker, B. N., Lindsay, J., Nance, A., Nakano, Y., Palladino, D. K., Dingler, T., & Jeon, M. (2013). Spearcons (Speech-based earcons) improve navigation performance in advanced auditory menus, Human Factors, 55(1), 157-182.
- Jeon, M., Walker, B. N., & Srivastava, A. (2012). “Spindex” (speech index) enhances menu navigation on touch screen devices with tapping, wheeling, and flicking gestures, ACM Transactions on Computer-Human Interaction (TOCHI), 19(2), 14:1-27. Read More
- Jeon, M., Gupta, S., Davison, B. K., & Walker, B. N. (2012). Speech menus are not just spoken visual menus: A case study of “unavailable” menu items, Journal of the Audio Engineering Society, 60(7/8), 505-518.
- Jeon, M., & Walker, B. N. (2011). Spindex (speech index) improves auditory menu acceptance and navigation performance, ACM Transactions on Accessible Computing (TACCESS), 3(3), 10:1-26. Read More