SeungJun Kim [CV - contact information included]
Systems Scientist (2011.09.~present, in CMU HCI Institute)
My research interest lies in situational control of end-user's cognitive distance (or management of attention demands) for seamless interaction between humans and computers. I will extend my research focus from human-centered problems dealing with cognitive or perceptual issues in HCI and the quality of life of people who want to overcome a difficulty in interacting with virtual information spaces (e.g., elder people or cognitively-disabled people).
Minimize Cognitive Distances!
- Human-Computer Interaction
- Situational cognitive load (e.g., divided attention, task interruption or multitasking)
- Automotive user interface (e.g., head-up display, in-vehicle displays or multi-modalities)
- Elder people (e.g., assistive technology, cognitive aging)
- Psycho-physiological measures (e.g., eye-gaze tracking)
- Augmented Reality, Ubiquitous Computing (e.g., situational awareness)
Technology is giving us the ability to present information anywhere and anytime. Despite this ability, there is often a large gap or distance between physical spaces (i.e., the real world) and virtual information spaces. Depending on the relevance of the information being provided, the method of conveying information, and the user circumstances, this distance may be small or large. With a large gap, a user may take more time and may have to expend more cognitive effort to adjust from one space to another. We refer to this gap as the cognitive distance between computing and physical spaces. There are two distinct components that comprise cognitive distance. The first is the cognitive effort required to move one's attention from the physical space to the information space, and to locate the appropriate information within the information space. The second component is the effort required to move back from the information space to the physical space and apply the extracted information to the task at hand. As the effort required for either of these components grows, the overall cognitive distance grows.
Furthermore, if users are required to switch between these two spaces frequently, the impact of the cognitive distance can be even greater. This is particularly true for people who either have a cognitive difficulty, or are completing a task that is time-sensitive or has a high cognitive load associated with it.
An example - by Context Awareness + Augmented Reality
Multi-modal Route Guidance for Elder Driver Navigation.
SeungJun Kim, Jin-Hyuk Hong, Kevin A. Li, Jodi Forlizzi and Anind K. Dey (2012) "Route Guidance Modality for Elder Driver Navigation," Pervasive 2012 (Newcastle, UK, June 18 - 22, 2012) , LNCS 7319, pp. 179-196, Springer-Verlag Berlin Heidelberg 2012.
Car Dashboard Displays for Elder Drivers.
SeungJun Kim, Anind K. Dey, Joonhwan Lee and Jodi Forlizzi (2011) "Usability of Car Dashboard Displays for Elder Drivers," In Proceeding of the 29th Annual SIGCHI Conference on Human Factors in Computing Systems. CHI '11.
Psycho-Physiological Measures for Assessing Cognitive Load.
Eija Haapalainen, SeungJun Kim, Jodi F. Forlizzi and Anind K. Dey (2010) "Psycho-physiological measures for assessing cognitive load," In Proceedings of the 12th International Conference on Ubiquitous Computing (Copenhagen, Denmark, Sept 26 - 29, 2010). Ubicomp 2010. pp.301-310.
AR Windshield Display for Navigation Aid.
[concept, demo, slide]
SeungJun Kim and Anind K. Dey. (2009) "Simulated augmented reality windshield display as a cognitive mapping aid for elder driver navigation," In Proceedings of the 27th International Conference on Human Factors in Computing Systems (Boston, MA, USA, April 04 - 09, 2009). CHI '09. pp.133-142.
AR Interfacing, for what?
SeungJun Kim and Anind K. Dey. (2010) "AR interfacing with prototype 3D applications based on user-centered interactivity," Computer-Aided Design, Special issue on Advanced and emerging virtual and augmented reality technologies in product design, Vol 42, Issue 5, May 2010, pp.373-386. (SCI)
Case study 1: AR-interfaced 3D CAE simulation test-bed
SeungJun Kim, N. P. Mahalik, Anind K. Dey, Jeha Ryu, and Byungha Ahn. (2008) "Feasibility and infrastructure study of AR interfacing and intuitive simulation on 3D nonlinear systems, " Comput. Stand. Interfaces, vol. 30.(1-2) Elsevier Science. January 2008. pp.36-51. (SCI)
Case study 2: Two-stage distributed 3D TGS system based on GIS database and AR
SeungJun Kim, Hojung Kim, Seongeun Eom, N. P. Mahalik, and Byungha Ahn. (2006) "A reliable new 2-stage distributed interactive TGS system based on GIS database and augmented reality," IEICE Trans. on Information and Systems, Vol.E89-D No.1 pp.98-105, January 2006. (SCI/E)
Case study 3: Haptically-enhanced broadcasting test-bed for AR-based 3D media production
SeungJun Kim, Jongeun Cha, Jongphil Kim, Jeha Ryu, Seongeun Eom, N. P. Mahalik, and Byungha Ahn. (2006) "A novel test-bed for immersive and interactive broadcasting production using augmented reality and haptics," IEICE Trans. on Information and Systems, Vol.E89-D No.1 pp.106-110, January 2006. (SCI/E)