Abstract
In this paper, we propose the Relative Trajectory Information (RTI) measure, an information theoretic measure to evaluate mouse pointer trajectories. The measure is used to score the level of smoothness of mouse pointer trajectories. We show that, by leveraging Gaussian processes and information theory, RTI accounts for relative differences in timestamps of the mouse pointer trajectories. RTI also does not require explicit descriptions of targets, in either their location or size. Our experimental analysis shows how RTI can capture the motion signature of a user with severe motion disabilities and distinguish it from the motion signature of smooth trajectories obtained in a control experiment.
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Keywords
- Gaussian Process
- Multivariate Gaussian Distribution
- Differential Entropy
- Mouse Pointer
- Information Theoretic Measure
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References
Accot, J., Zhai, S.: Beyond Fitts’ law: models for trajectory-based HCI tasks. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 295–302. ACM, New York (1997)
Betke, M.: Intelligent Interfaces to Empower People with Disabilities. In: Nakashima, H., Augusto, J.C., Aghajan, H. (eds.) Handbook of Ambient Intelligence and Smart Environments, pp. 409–432. Springer, Heidelberg (2009)
Betke, M., Gips, J., Fleming, P.: The Camera Mouse: Visual Tracking of Body Features to Provide Computer Access For People with Severe Disabilities. IEEE Transactions on Neural Systems and Rehabilitation Engineering 10(1), 1–10 (2002)
Bishop, C.M.: Pattern Recognition and Machine Learning (Information Science and Statistics). Springer-Verlag New York, Inc., Secaucus (2007)
Bootsma, R.J., Fernandez, L., Mottet, D.: Behind Fitts’ law: kinematic patterns in goal-directed movements. International Journal of Human-Computer Studies 61(6), 811–821 (2004)
Cover, T.M., Thomas, J.A.: Elements of Information Theory. Wiley Interscience, New York (1991)
Epstein, S., Betke, M.: Active hidden models for tracking with kernel projections. Technical report, Boston University (2010)
Fitts, P.M.: The information capacity of the human motor system in controlling the amplitude of movement. Journal Experimental Psychology: General 47(6), 381–391 (1954)
Hwang, F., Keates, S., Langdon, P., Clarkson, J.: Mouse movements of motion-impaired users: a submovement analysis. In: Proceedings of the 6th International ACM SIGACCESS Conference on Computers and Accessibility, Assets 2004, pp. 102–109. ACM, New York (2004)
Keates, S., Hwang, F., Langdon, P., Clarkson, P.J., Robinson, P.: Cursor measures for motion-impaired computer users. In: Proceedings of the Fifth International ACM Conference on Assistive Technologies, pp. 135–142. ACM, New York (2002)
Kwan, C., Betke, M.: Camera Canvas: Image editing software for people with disabilities. In: HCII 2011. Lncs, vol. 6766, pp. 301–309. Springer, Heidelberg (2011)
Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proceedings of the Seventh International Joint Conference on Artificial Intelligence, pp. 674–679 (1981)
MacKenzie, I.S.: A note on the information-theoretic basis for Fitts’ law. Journal of Motor Behavior 21, 323–330 (1989)
MacKenzie, I.S.: Fitts’ law as a research and design tool in human-computer interaction. Human Computer Interaction 7(1), 91–139 (1992)
MacKenzie, I.S., Kauppinen, T., Silfverberg, M.: Accuracy measures for evaluating computer pointing devices. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 9–16. ACM, New York (2001)
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Epstein, S., Missimer, E.S., Betke, M. (2011). An Information Theoretic Mouse Trajectory Measure. In: Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Users Diversity. UAHCI 2011. Lecture Notes in Computer Science, vol 6766. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21663-3_32
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DOI: https://doi.org/10.1007/978-3-642-21663-3_32
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