바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

Verifications of the low-cost eye-tracker KSL-240

The Korean Journal of Cognitive and Biological Psychology / The Korean Journal of Cognitive and Biological Psychology, (P)1226-9654; (E)2733-466X
2011, v.23 no.4, pp.653-663
https://doi.org/10.22172/cogbio.2011.23.4.011





Abstract

We tried to verify a low-cost eye tracking device(Model KSL-240) designed in our Lab, using a commercialized eye tracker device(Tobii 1750). Participants were asked either to move eyes or to move mouse cursors to the location of a red circle presented in the target display, and they were assigned to three experimental conditions(KSL-240/Tobii 1750/Mouse Tracking). As results, 1) accuracy of the Mouse Tracking condition was 100%, 2) accuracy of the KSL-240(92%) eye tracking condition showed better performance over the Tobii 1750(79%) condition, 3) mean response time of the eye movements in the KSL-240(598ms) condition was somewhat slower than that of the Tobii 1750(466ms) condition, and the Mouse Tracking (808ms) condition was the slowest. In conclusion, it was suggested that the model KSL-240 eye-tracker could be used as a device which might be able to substitute more expensive, commercialized devices.

keywords
KSL-240, eye-tracker, mouse-tracking, Tobii 1750

Reference

1.

손영준, 이상일, 곽호완 (2010). 저비용 안구운동추적 장치의 개발과 타당화. 한국심리학회지: 인지 및 생물, 22(1), 95-107.

2.

이상일, 곽호완 (2010). 저비용 안구운동추적 장치의 시공간 해상도 개선. 한국심리학회지: 인지 및 생물, 22(4). 639-649.

3.

Buswell, G. T. (1922). Fundamental reading habits: A study of their development. Chicago, IL: University of Chicago Press.

4.

Huey, E. B. (1968). The psychology and pedagogy of reading. Cambridge, MA: MIT Press. (Originally published 1908).

5.

Javier, S. A., Henrik, S., John, P. J., & Dan, W. H. (2009). Low-Cost Gaze Interaction: Ready to Deliver the Promises. CHI 2009 Spotlight on Works in Progress, Session 2, 4453-4458.

6.

Li, D., & Parkhurst, D. J. (2006). Open-source software for real-time visible-spectrum eye tracking. Proceedings of the COGAIN Conference, 18-20.

7.

Li, D., Winfield, D., & Parkhurst, D. J. (2005). Starburst: A hybrid algorithm for video-based eye tracking combining feature-based and model-based approaches. Proceedings of the IEEE Vision for Human-Computer Interaction Workshop at CVPR, 1-8.

8.

Voßkühler, A., Nordmeier, V., Kuchinke, L., & Jacobs, A. M. (2008). OGAMA-Open Gaze And Mouse Analyzer: Open source software designed to analyze eye and mouse movements in slideshow study designs. Behavior Research Methods, 40(4), 1150-1162.

9.

Zhang, X. & MacKenzie, S. I. (2007). Evaluating eye tracking with ISO 9241-Part 9. Proceedings of HCI International 2007, 779-788.

The Korean Journal of Cognitive and Biological Psychology