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Look & touch: gaze-supported target acquisition
Abstract
While eye tracking has a high potential for fast selection tasks, it is often regarded as error-prone and unnatural, especially for gaze-only interaction. To improve on that, we propose gaze-supported interaction as a more natural and effective way combining a user's gaze with touch input from a handheld device. In particular, we contribute a set of novel and practical gaze-supported selection techniques for distant displays. Designed according to the principle gaze suggests, touch confirms they include an enhanced gaze-directed cursor, local zoom lenses and more elaborated techniques utilizing manual fine positioning of the cursor via touch. In a comprehensive user study with 24 participants, we investigated the potential of these techniques for different target sizes and distances. All novel techniques outperformed a simple gaze-directed cursor and showed individual advantages. In particular those techniques using touch for fine cursor adjustments (MAGIC touch) and for cycling through a list of possible close-to-gaze targets (MAGIC tab) demonstrated a high overall performance and usability.
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Effective eye-gaze input into windows
Lankford, C. (2000) · Proceedings of the symposium on Eye tracking research & applications - ETRA '00 · doi:10.1145/355017.355021 · Cited by 119
Cited by
Eye Tracking and Eye-Based Human–Computer Interaction
Majaranta, P., & Bulling, A. (2014) · Human–Computer Interaction Series · doi:10.1007/978-1-4471-6392-3_3 · Cited by 530
Vidal, M., Bulling, A., & Gellersen, H. (2013) · Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing · doi:10.1145/2493432.2493477 · Cited by 276
Metadata
- Authors
- Stellmach, S., & Dachselt, R.
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2012-05-05
- Pages
- 2981-2990
- OpenAlex
- W2169489294
- Cited by
- 198
- References
- 1
- FWCI
- 11.25
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Stellmach, S., & Dachselt, R. (2012). Look & touch: gaze-supported target acquisition. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/2207676.2208709
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