ABSTRACT
We present a dwell time reduction technique for gaze-based target acquisition. We adopt Fitts' Law to achieve the dwell time reduction. Our technique uses both the eye movement time for target acquisition estimated using Fitts' Law (Te) and the actual eye movement time (Ta) for target acquisition; a target is acquired when the difference between Te and Ta is small. First, we investigated the relation between the eye movement for target acquisition and Fitts' Law; the result indicated a correlation of 0.90 after error correction. Then we designed and implemented our technique. Finally, we conducted a user study to investigate the performance of our technique; an average dwell time of 86.7 ms was achieved, with a 10.0% Midas-touch rate.
Supplemental Material
- Roger Hugh Stephen Carpenter. 1988. Movement of the Eyes 2nd Edition Revised and Enlarged.Google Scholar
- Ishan Chatterjee, Robert Xiao, and Chris Harrison. 2015. Gaze+Gesture: Expressive, Precise and Targeted Free-Space Interactions. In Proceedings of the 2015 ACM on International Conference on Multimodal Interaction (ICMI '15). ACM, New York, NY, USA, 131--138. Google ScholarDigital Library
- Heiko Drewes. 2010a. Eye Gaze Tracking for Human Computer Interaction. https://edoc.ub.uni-muenchen.de/11591/. (2010). (accessed 2018-1-26).Google Scholar
- Heiko Drewes. 2010b. Only One Law Formula Please!. In Proceedings of the 28th SIGCHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '10). ACM, New York, NY, USA, 2813--2822. Google ScholarDigital Library
- Augusto Esteves, Eduardo Velloso, Andreas Bulling, and Hans Gellersen. 2015. Orbits: Gaze Interaction for Smart Watches using Smooth Pursuit Eye Movements. In Proceedings of the 28th Annual ACM Symposium on User Interface Software and Technology (UIST '15). ACM, New York, NY, USA, 457--466. Google ScholarDigital Library
- Anna Maria Feit, Shane Williams, Arturo Toledo, Ann Paradiso, Harish Kulkarni, Shaun Kane, and Meredith Ringel Morris. 2017. Toward Everyday Gaze Input: Accuracy and Precision of Eye Tracking and Implications for Design. In Proceedings of the 35th SIGCHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 1118--1130. Google ScholarDigital Library
- Wenxin Feng, Ming Chen, and Margrit Betke. 2014. Target Reverse Crossing: A Selection Method for Camera-based Mouse-replacement Systems. In Proceedings of the 7th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '14). ACM, New York, NY, USA, Article 39, 4 pages. Google ScholarDigital Library
- Paul. M. Fitts. 1954. The Information Capacity of the Human Motor System in Controlling the Amplitude of Movement. Journal of Experimental Psychology 74 (1954), 381--391.Google ScholarCross Ref
- Errol R. Hoffmann and Ilyas H. Sheikh. 1994. Effect of Varying Target Height in a Fitts' Movement Task. Ergonomics 37, 6 (1994), 1071--1088.Google ScholarCross Ref
- ISO. 2012. Ergonomics of human-system interaction - Part 411: Evaluation methods for the design of physical input devices. International Organization for Standardization ISO/TS 9241--411.Google Scholar
- Robert J. K. Jacob. 1991. The Use of Eye Movements in Human-computer Interaction Techniques: What You Look at is What You Get. ACM Transaction on Information Systems 9, 2 (1991), 152--169. Google ScholarDigital Library
- Andrew Kurauchi, Wenxin Feng, Ajjen Joshi, Carlos Morimoto, and Margrit Betke. 2016. EyeSwipe: Dwell-free Text Entry Using Gaze Paths. In Proceedings of the 34th SIGCHI Conference on Human Factors in Computing Systemss (CHI '16). ACM, New York, NY, USA, 1952--1956. Google ScholarDigital Library
- Daniel J. Liebling and Susan T. Dumais. 2014. Gaze and Mouse Coordination in Everyday Work. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication (UbiComp '14 Adjunct). ACM, New York, NY, USA, 1141--1150. Google ScholarDigital Library
- Ian Scott MacKenzie. 1989. A Note on the Information-Theoretic Basis for Fitts' Law. In Journal of Motor Behavior (21). 323--330.Google Scholar
- Darius Miniotas. 2000. Application of Fitts' Law to Eye Gaze Interaction. In Proceedings of the 18th SIGCHI Conference Extended Abstract on Human Factors in Computing Systems (CHI EA '00). ACM, New York, NY, USA, 339--340. Google ScholarDigital Library
- Martez E. Mott, Shane Williams, Jacob O. Wobbrock, and Meredith Ringel Morris. 2017. Improving Dwell-Based Gaze Typing with Dynamic, Cascading Dwell Times. In Proceedings of the 35th SIGCHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 2558--2570. Google ScholarDigital Library
- Atsuo Murata, Ippei Konishi, Makoto Moriwaka, and Daichi Fukunaga. 2015. Fitts' Modeling of Pointing Time in Eye-gaze Input System that Takes into Account the Effects of Target Shape and Display Location on Pointing Performance. Procedia Manufacturing 3, Supplement C (2015), 5358--5365.Google ScholarCross Ref
- Aanand Nayyar, Utkarsh Dwivedi, Karan Ahuja, Nitendra Rajput, Seema Nagar, and Kuntal Dey. 2017. OptiDwell: Intelligent Adjustment of Dwell Click Time. In Proceedings of the 22nd International Conference on Intelligent User Interfaces (IUI '17). ACM, New York, NY, USA, 193--204. Google ScholarDigital Library
- Diogo Pedrosa, Maria da Graca Pimentel, and Khai N. Truong. 2015. Filteryedping: A Dwell-Free Eye Typing Technique. In Proceedings of the 33rd SIGCHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '15). ACM, New York, NY, USA, 303--306. Google ScholarDigital Library
- Abdul Moiz Penkar, Christof Lutteroth, and Gerald Weber. 2012. Designing for the Eye: Design Parameters for Dwell in Gaze Interaction. In Proceedings of the 24th Australian Computer-Human Interaction Conference (OzCHI '12). ACM, New York, NY, USA, 479--488. Google ScholarDigital Library
- Ken Pfeuffer and Hans Gellersen. 2016. Gaze and Touch Interaction on Tablets. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology (UIST '16). ACM, New York, NY, USA, 301--311. Google ScholarDigital Library
- Simon Schenk, Marc Dreiser, Gerhard Rigoll, and Michael Dorr. 2017. GazeEverywhere: Enabling Gaze-only User Interaction on an Unmodified Desktop PC in Everyday Scenarios. In Proceedings of the 35th SIGCHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 3034--3044. Google ScholarDigital Library
- Linda E. Sibert and Robert J. K. Jacob. 2000. Evaluation of Eye Gaze Interaction. In Proceedings of the 18th SIGCHI Conference on Human Factors in Computing Systems (CHI '00). ACM, New York, NY, USA, 281--288. Google ScholarDigital Library
- Sophie Stellmach and Raimund Dachselt. 2012. Look & Touch: Gaze-supported Target Acquisition. In Proceedings of the 30th SIGCHI Conference on Human Factors in Computing Systems (CHI '12). ACM, New York, NY, USA, 2981--2990. Google ScholarDigital Library
- Tobii AB. 2017. Tobii EyeX for PC Gaming. https://tobiigaming.com/product/tobii-eyex/. (2017). (accessed 2018-1-26).Google Scholar
- Jayson Turner, Jason Alexander, Andreas Bulling, and Hans Gellersen. 2015. Gaze+RST: Integrating Gaze and Multitouch for Remote Rotate-Scale-Translate Tasks. In Proceedings of the 35th SIGCHI Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 4179--4188. Google ScholarDigital Library
- Roel Vertegaal. 2008. A Fitts' Law Comparison of Eye Tracking and Manual Input in the Selection of Visual Targets. In Proceedings of the 10th International Conference on Multimodal Interfaces (ICMI '08). ACM, New York, NY, USA, 241--248. Google ScholarDigital Library
- Colin Ware and Harutune H. Mikaelian. 1987. An Evaluation of an Eye Tracker As a Device for Computer Input. In Proceedings of the SIGCHI/GI Conference on Human Factors in Computing Systems and Graphics Interface (CHI '87). ACM, New York, NY, USA, 183--188. Google ScholarDigital Library
- Shumin Zhai, Carlos Morimoto, and Steven Ihde. 1999. Manual and Gaze Input Cascaded (MAGIC) Pointing. In Proceedings of the 17th SIGCHI Conference on Human Factors in Computing Systems (CHI '99). ACM, New York, NY, USA, 246--253. Google ScholarDigital Library
- Xuan Zhang and Ian Scott MacKenzie. 2007. Evaluating Eye Tracking with ISO 9241 - Part 9. In Proceedings of the 12th International Conference on Human-computer Interaction: Intelligent Multimodal Interaction Environments (HCI '07). Springer-Verlag, Berlin, Heidelberg, 779--788. http://dl.acm.org/citation.cfm?id=1769590.1769678 Google ScholarDigital Library
Index Terms
- Dwell time reduction technique using Fitts' law for gaze-based target acquisition
Recommendations
Eye&Head: Synergetic Eye and Head Movement for Gaze Pointing and Selection
UIST '19: Proceedings of the 32nd Annual ACM Symposium on User Interface Software and TechnologyEye gaze involves the coordination of eye and head movement to acquire gaze targets, but existing approaches to gaze pointing are based on eye-tracking in abstraction from head motion. We propose to leverage the synergetic movement of eye and head, and ...
A Fitts' law study of click and dwell interaction by gaze, head and mouse with a head-mounted display
COGAIN '18: Proceedings of the Workshop on Communication by Gaze InteractionGaze and head tracking, or pointing, in head-mounted displays enables new input modalities for point-select tasks. We conducted a Fitts' law experiment with 41 subjects comparing head pointing and gaze pointing using a 300 ms dwell (n = 22) or click (n =...
Gaze gestures or dwell-based interaction?
ETRA '12: Proceedings of the Symposium on Eye Tracking Research and ApplicationsThe two cardinal problems recognized with gaze-based interaction techniques are: how to avoid unintentional commands, and how to overcome the limited accuracy of eye tracking. Gaze gestures are a relatively new technique for giving commands, which has ...
Comments