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Design / 디자인학과
Kyungho Lee 이경호
Design / 디자인학과
+82-52-217-3034
kyungho@unist.ac.kr
https://klee141.com
Bldg. 104 Rm. 907-1
Curriculum Vitae
∙ Assistant Professor, Graduate School of Creative Design and Engineering, UNIST, Ulsan, Korea
∙ Appointed as Assistant Professor ( tenure-track ), Arts Technology Program, Illinois State University, Illinois, USA
∙ Research Fellow, National Center for Supercomputing Application (NCSA), Illinois, USA
∙ I-UM Socious, Chief Design Officer, Seoul, Korea
∙ e-motion, Innovation Lab Manager, Seoul, Korea
Academic Credential
∙ Ph.D. in Informatics (specialization Art and Cultural Informatics), University of Illinois at Urbana-Champaign, Illinois, USA
∙ B.F.A in Design, B.A. in Interdisciplinary Studies in Information, Culture and Technology, Seoul National University,Seoul, Korea
Awards/Honors/Memberships
∙ Fiddler Innovation Fellowship, 2016
∙ Fulbright Scholarship, 2012
∙ 5th Korea National Internet Awards, Gold Prize, 2011
∙ KSDS Undergraduate Design Research Competition, Grand Prize, 2004
∙ Seoul National University Merit-Based Scholarship
Artificial Intelligence (AI), often considered as a form of machine learning or computational intelligence, is increasingly being used to improve people’s interactions with products and services. While such technology has a big impact on creating new products and services, it has also been proven to be incredibly challenging to work with as a new material for design. To tackle this challenge, we explore the potential of computational intelligence in design by creating AI/ML-driven interactions, digital services, and products. We hope our research and experiment will enable us to create a more intuitive, natural, and expressive UI/UX, beyond task-oriented interactions (what to perform), toward the design of intelligent interactions that draw upon the nuances of human expression (how to perform).
Major research field
human-computer interaction, machine learning, gesture recognition, intelligent UI design, digital media design
Desired field of research
human-centered machine learning, deep technical UI/UX design, information design, emerging media arts
Research Keywords and Topics
# human-centered machine learning
# deep-technical ui/ux
# emerging media arts for audio/visual expression
HCML combines human insights and domain expertise with data-driven predictions to build a better, specialized model that supports various design tasks. How might we design more intelligent interactions and rich experiences through ML? We examine cutting-edge machine learning approach from a human-centered perspective, including explicitly recognizing human works, as well as reframing machine learning workflows based on situated human working practices, and exploring the co-adaptation of humans and systems. A human-centered understanding of machine learning in the design context can lead not only to more usable services and products but to new ways of framing design problem computationally with a deep technical UX design approach.
Research Publications
MORE∙Proceedings of the 25th International Symposium on Electronic Art (ISEA'19), Misplaced Euphoria: Developing Kinesthetic Empathy Through Interactive Performance, Kyungho Lee, 2019
∙Proceedings of the 9th ACM SIGCHI Conference on Creativity and Cognition (C&C'15) Express it!: An Interactive System for
Visualizing Expressiveness of Conductor’s Gestures, Kyungho Lee, Donna J Cox and Guy Garnett, 2015
∙ Proceedings of International Working Conference on Advanced Visual Interfaces (AVI’14), How Collective Intelligence Emerges: Knowledge Creation Process in Wikipedia from Microscopic Viewpoint, Kyungho Lee, 2014
국가과학기술표준분류
- EE. 정보/통신
- EE10. U-컴퓨팅
- EE1003. U-컴퓨팅 기기/주변기기
국가기술지도분류
- 정보-지식-지능화 사회 구현
- 011600. 디지털 정보디자인 기술
녹색기술분류
- 녹색기술관련 과제 아님
6T분류
- IT 분야
- 정보처리 시스템 및 S/W
- 010316. 기타 정보처리시스템 및 S/W 기술
