Abstract
Eye movement may be regarded as a new promising modality for human computer interfaces. With the growing popularity of cheap and easy to use eye trackers, gaze data may become a popular way to enter information and to control computer interfaces. However, properly working gaze contingent interface requires intelligent methods for processing data obtained from an eye tracker. They should reflect users’ intentions regardless of a quality of the signal obtained from an eye tracker. The paper presents the results of an experiment during which algorithms processing eye movement data while 4-digits PIN was entered with eyes were checked for both calibrated and non-calibrated users.
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References
Blignaut, P., Wium, D.: The effect of mapping function on the accuracy of a video-based eye tracker. In: Proceedings of the 2013 Conference on Eye Tracking South Africa, pp. 39–46. ACM (2013)
De Luca, A., Denzel, M., Hussmann, H.: Look into my eyes!: Can you guess my password?. In: Proceedings of the 5th Symposium on Usable Privacy and Security, p. 7. ACM (2009)
Duchowski, A.: Eye Tracking methOdology: Theory and Practice, vol. 373. Springer, New York (2007)
Harężlak, K., Kasprowski, P., Stasch, M.: Towards accurate eye tracker calibration—methods and procedures. Proceedings of the 17th International Conference in Knowledge Based and Intelligent Information and Engineering Systems—KES2014. Procedia Computer Science, vol. 35, pp. 1073–1081, Elsevier (2014) (ScienceDirect)
Harężlak K., Kasprowski, P.: Evaluating quality of dispersion based fixation detection algorithm. In: 29th International Symposium on Computer and Information Sciences. Information Sciences and Systems 2014. Springer Lecture Notes on Electrical Engineering, pp. 97–104 (2014)
Holmqvist, K., et al.: Eye tracking: A Comprehensive Guide to Methods and Measures. Oxford University Press, Oxford (2011)
Jacob, R.J.K.: The use of eye movements in human-computer interaction techniques: what you look at is what you get. ACM Trans. Inf. Syst. (TOIS) 9.2, 152–169 (1991)
Kasprowski, P., Harężlak, K., Stasch, M.: Guidelines for the Eye Tracker Calibration Using Points of Regard. Information Technologies in Biomedicine, vol. 4. Advances in Intelligent Systems and Computing, vol. 284, pp. 225–236. Springer International Publishing (2014)
Kasprowski, P., Harężlak, K.: Cheap and easy PIN entering using eye gaze. In: 3rd Conference on Cryptography and Security Systems. Annales UMCS Informatica, vol. 14, 1, pp. 75–84. Lublin (2014)
Kumar, M., et al.: Reducing shoulder-surfing by using gaze-based password entry. In: Proceedings of the 3rd Symposium on Usable Privacy and Security, pp. 13–19. ACM (2007)
Ramanauskas, N.: Calibration of video-oculographical eye-tracking system. Electron. Electr. Eng. 8(72), 65–68 (2006)
Salvucci, D.D., Goldberg, J.H.: Identifying fixations and saccades in eye-tracking protocols. In: Proceedings of the 2000 Symposium on Eye Tracking Research and Applications, pp. 71–78. ACM Press, NY (2000)
Shic, F., Chawarska, K., Scassellati, B.: The incomplete fixation measure. In: Proceedings of the 2008 Symposium on Eye Tracking Research and Applications, pp. 111–114. ACM Press, NY (2008)
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Kasprowski, P., Harezlak, K. (2015). Using Non-calibrated Eye Movement Data to Enhance Human Computer Interfaces. In: Neves-Silva, R., Jain, L., Howlett, R. (eds) Intelligent Decision Technologies. IDT 2017. Smart Innovation, Systems and Technologies, vol 39. Springer, Cham. https://doi.org/10.1007/978-3-319-19857-6_31
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DOI: https://doi.org/10.1007/978-3-319-19857-6_31
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