Han-Jong Kim

Co.design:Inter.action Design Research Lab.
Designer + Developer
jong2jong2 at kaist.ac.kr
I am a design researcher in the department of industrial design at KAIST, Republic of Korea. I received BSc, MSc, and PhD in industrial design from KAIST.

My research interest is developing new design prototyping tools to support prospective designers. The approach of development lies in integrating scientific knowledge and practical design skills to achieve usable systems. The main objective of my research is to build well-finished prototyping systems to deploy to the public, and derive robust observations and implications from actual usage in the wild. To conduct my previous studies, I was trained as designer-researcher having convergent thinking and skills for visual design, interaction design, system development, and evaluative study.

I have developed several prototyping tools for design scenario (MiniStudio, SketchStudio) and mechanism design (M.Sketch) for my PhD period. Now I am extending my viewpoint to find valuable prototyping system in design practice and education.


Contextual Mobile Interfaces through Bimanual Posture Sensing with Wrist-Worn Devices


Using multiple sensor-embedded devices enables detection of usage contexts that extend new interaction opportunities (e.g., a gesture and posture composite interface). In this study, we explored a design space of contextual interactions using a mobile device and two wrist-worn devices, suggesting Mo-Bi, the bimanual posture-based mobile interface system. Mo-Bi recognizes a user’s hand posture compositely utilizing the spatial configurations of the three devices. It provides the contextually appropriate interface layout or application function according to the inference based on bimanual posture information. We suggested four interface scenarios of Mo-Bi that are applicable for common use applications in mobile context. A technical evaluation shows the feasibility of the system, and users found that Mo-Bi enhanced physical comfort and stability, providing interfaces that fit their context without increasing interaction steps for the adaptive interface.


HCI Korea 2016, January 25–27, 2016, Jeongsun, Korea (Best Paper Award)


Hand posture; context inference; wearable device; adaptive interface; wrist-worn device