Gaze-Based Proactive User Interface for Pen-Based Systems
Author: 
Çağla ÇığAuthors Info & Claims
Pages 374 - 378
Abstract
In typical human-computer interaction, users convey their intentions through traditional input devices (e.g. keyboards, mice, joysticks) coupled with standard graphical user interface elements. Recently, pen-based interaction has emerged as a more intuitive alternative to these traditional means. However, existing pen-based systems are limited by the fact that they rely heavily on auxiliary mode switching mechanisms during interaction (e.g. hard or soft modifier keys, buttons, menus). In this paper, I describe the roadmap for my PhD research which aims at using eye gaze movements that naturally occur during pen-based interaction to reduce dependency on explicit mode selection mechanisms in pen-based systems.
References
[1]
Samsung Galaxy Note 2 {Online image}. Retrieved September 3, 2014, from http://www.cnet.com/products/samsung-galaxy-note2/2.
[2]
Hayhoe, M. and Ballard, D. Eye movements in natural behavior. Trends in Cognitive Sciences 9, 4 (2005), 188--194.
[3]
Fathi, A., Li, Y. and Rehg, J. M. Learning to recognize daily actions using gaze. In Proc. ECCV 2012, SpringerVerlag (2012), 314--327.
[4]
Johansson, R. S., Westling, G., Bäckström, A. and Flanagan, J. R. Eye-hand coordination in object manipulation. The Journal of Neuroscience 21, 17 (2001), 6917--6932.
[5]
Ballard, D. H., Hayhoe, M. M., Li, F., Whitehead, S. D., Frisby, J. P., Taylor, J. G. and Fisher, R. B. Hand-eye coordination during sequential tasks {and discussion}. Philosophical Transactions: Biological Sciences 337, 1281 (1992), 331--339.
[6]
Orban de Xivry, J.-J. and Lefèvre, P. Saccades and pursuit: two outcomes of a single sensorimotor process. The Journal of Physiology 584, 1 (2007), 11--23.
[7]
Ouyang, T. Y. and Davis, R. A visual approach to sketched symbol recognition. In Proc. IJCAI 2009, Morgan Kaufmann Publishers Inc. (2009), 1463--1468.
[8]
Khotanzad, A. and Hong, Y. H. Invariant image recognition by zernike moments. IEEE Transactions on Pattern Analysis and Machine Intelligence 12, 5 (1990), 489--497.
[9]
Norman, D. A. The design of everyday things. Basic Books, 2002.
[10]
Nielsen, J. Noncommand user interfaces. Communications of the ACM 36, 4 (1993), 83--99.
[11]
Negulescu, M., Ruiz, J. and Lank, E. Exploring usability and learnability of mode inferencing in pen/tablet interfaces. In Proc. SBIM 2010, Eurographics Association (2010), 87--94.
Index Terms
- Gaze-Based Proactive User Interface for Pen-Based Systems
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Information
Published In
November 2014
558 pages
ISBN:9781450328852
DOI:10.1145/2663204
- General Chairs:
- Albert Ali Salah,
- Jeffrey Cohn,
- Björn Schuller,
- Program Chairs:
- Oya Aran,
- Louis-Philippe Morency,
- Philip R. Cohen
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Published: 12 November 2014
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ICMI '14 Paper Acceptance Rate 51 of 127 submissions, 40%;
Overall Acceptance Rate 453 of 1,080 submissions, 42%
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