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Improving the accuracy of gaze input for interaction

Authors:

Andreas PaepckeAuthors Info & Claims

ETRA '08: Proceedings of the 2008 symposium on Eye tracking research & applications

Pages 65 - 68

https://doi.org/10.1145/1344471.1344488

Published: 26 March 2008 Publication History

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Abstract

Using gaze information as a form of input poses challenges based on the nature of eye movements and how we humans use our eyes in conjunction with other motor actions. In this paper, we present three techniques for improving the use of gaze as a form of input. We first present a saccade detection and smoothing algorithm that works on real-time streaming gaze information. We then present a study which explores some of the timing issues of using gaze in conjunction with a trigger (key press or other motor action) and propose a solution for resolving these issues. Finally, we present the concept of Focus Points, which makes it easier for users to focus their gaze when using gaze-based interaction techniques. Though these techniques were developed for improving the performance of gaze-based pointing, their use is applicable in general to using gaze as a practical form of input.

References

[1]

Arulampalam, M. S., Maskell, S., Gordon, N., and Clapp, T. 2002. A Tutorial on Particle Filters for Online Nonlinear/Non-Gaussian Bayesian Tracking. IEEE Transactions on Signal Processing. 50(2): p. 174.

Digital Library

Google Scholar

[2]

Beinhauer, W. 2006. A Widget Library for Gaze-based Interaction Elements, in ETRA: Eye Tracking Research and Applications Symposium. San Diego, California, USA: ACM Press. p. 53--53.

Digital Library

Google Scholar

[3]

Kumar, M. 2007. GUIDe Saccade Detection and Smoothing Algorithm. Technical Report CSTR 2007-03, Stanford University

Google Scholar

[4]

Kumar, M., Garfinkel, T., Boneh, D., and Winograd, T. 2007a. Reducing Shoulder-surfing by Using Gaze-based Password Entry. Technical Report CSTR 2007-05, Stanford University

Google Scholar

[5]

Kumar, M., Paepcke, A., and Winograd, T. 2007b. Eye-Point: Practical Pointing and Selection Using Gaze and Key-board, in CHI. San Jose, California, USA: ACM Press.

Digital Library

Google Scholar

[6]

Kumar, M., Winograd, T., and Paepcke, A. 2007c. Gaze-enhanced Scrolling Techniques, in CHI. San Jose, California, USA: ACM Press.

Digital Library

Google Scholar

[7]

Majaranta, P., Aula, A., and Raihä, K.-J. 2004. Effects of Feedback on Eye Typing with a Short Dwell Time, in ETRA: Eye Tracking Research & Applications Symposium. San Antonio, Texas, USA: ACM Press. p. 139--146.

Digital Library

Google Scholar

[8]

Majaranta, P., MacKenzie, I. S., Aula, A., and Räihä, K.-J. 2003. Auditory and Visual Feedback During Eye Typing, in CHI. Ft. Lauderdale, Florida, USA: ACM Press. p. 766--767.

Digital Library

Google Scholar

[9]

Monty, R. A., Senders, J. W., and Fisher, D. F. Eye Movements and the Higher Psychological Functions. 1978, Hillsdale, New Jersey, USA: Erlbaum.

Google Scholar

[10]

Salvucci, D. D. 1999. Inferring Intent in Eye-Based Interfaces: Tracing Eye Movements with Process Models, in CHI. Pittsburgh, Pennsylvania, USA: ACM Press. p. 254--261.

Digital Library

Google Scholar

[11]

Salvucci, D. D. and Goldberg, J. H. 2000. Identifying Fixations and Saccades in Eye-Tracking Protocols, in ETRA: Eye Tracking Research & Applications Symposium. Palm Bech Gardens, Florida, USA: ACM Press. p. 71--78.

Digital Library

Google Scholar

[12]

Tobii Technology, AB. 2006 Tobii 1750 Eye Tracker. http://www.tobii.com.

Google Scholar

[13]

Yarbus, A. L. Eye Movements and Vision. 1967, New York: Plenum Press.

Crossref

Google Scholar

[14]

Zhai, S. 2003. What's in the Eyes for Attentive Input, in Communications of the ACM, Vol. 46, (3)

Digital Library

Google Scholar

Cited By

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Faleel SSodhi RIrani P(2024)Comparison of Unencumbered Interaction Technique for Head-Mounted DisplaysProceedings of the ACM on Human-Computer Interaction10.1145/36981468:ISS(500-516)Online publication date: 24-Oct-2024
https://dl.acm.org/doi/10.1145/3698146
Park YKim JOakley IKostakos VKay JHoang T(2024)The Impact of Gaze and Hand Gesture Complexity on Gaze-Pinch Interaction PerformancesCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678990(622-626)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675094.3678990
Das AWu ZSkrjanec IFeit A(2024)Shifting Focus with HCEye: Exploring the Dynamics of Visual Highlighting and Cognitive Load on User Attention and Saliency PredictionProceedings of the ACM on Human-Computer Interaction10.1145/36556108:ETRA(1-18)Online publication date: 28-May-2024
https://dl.acm.org/doi/10.1145/3655610
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Index Terms

Improving the accuracy of gaze input for interaction
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens

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Published In

ETRA '08: Proceedings of the 2008 symposium on Eye tracking research & applications

March 2008

285 pages

ISBN:9781595939821

DOI:10.1145/1344471

Conference Chairs:
Kari-Jouko Räihä
University of Tampere, Finland
,
Andrew T. Duchowski
Clemson University, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 March 2008

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ETRA '08

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ETRA '08: Eye Tracking Research and Applications

March 26 - 28, 2008

Georgia, Savannah

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Overall Acceptance Rate 69 of 137 submissions, 50%

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Cited By

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Faleel SSodhi RIrani P(2024)Comparison of Unencumbered Interaction Technique for Head-Mounted DisplaysProceedings of the ACM on Human-Computer Interaction10.1145/36981468:ISS(500-516)Online publication date: 24-Oct-2024
https://dl.acm.org/doi/10.1145/3698146
Park YKim JOakley IKostakos VKay JHoang T(2024)The Impact of Gaze and Hand Gesture Complexity on Gaze-Pinch Interaction PerformancesCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678990(622-626)Online publication date: 5-Oct-2024
https://dl.acm.org/doi/10.1145/3675094.3678990
Das AWu ZSkrjanec IFeit A(2024)Shifting Focus with HCEye: Exploring the Dynamics of Visual Highlighting and Cognitive Load on User Attention and Saliency PredictionProceedings of the ACM on Human-Computer Interaction10.1145/36556108:ETRA(1-18)Online publication date: 28-May-2024
https://dl.acm.org/doi/10.1145/3655610
Hou BNewn JSidenmark LKhan AGellersen H(2024)GazeSwitch: Automatic Eye-Head Mode Switching for Optimised Hands-Free PointingProceedings of the ACM on Human-Computer Interaction10.1145/36556018:ETRA(1-20)Online publication date: 28-May-2024
https://dl.acm.org/doi/10.1145/3655601
Wang RPotter ZHo YKillough DZeng LMondal SZhao Y(2024)GazePrompt: Enhancing Low Vision People's Reading Experience with Gaze-Aware AugmentationsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642878(1-17)Online publication date: 11-May-2024
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Manakhov PSidenmark LPfeuffer KGellersen H(2024)Filtering on the Go: Effect of Filters on Gaze Pointing Accuracy During Physical Locomotion in Extended RealityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2024.345615330:11(7234-7244)Online publication date: 1-Nov-2024
https://dl.acm.org/doi/10.1109/TVCG.2024.3456153
Pfeuffer KGellersen HGonzalez-Franco M(2024)Design Principles and Challenges for Gaze + Pinch Interaction in XRIEEE Computer Graphics and Applications10.1109/MCG.2024.338296144:3(74-81)Online publication date: May-2024
https://doi.org/10.1109/MCG.2024.3382961
Zhang X(2024)Evaluating Target Expansion for Eye Pointing TasksInteracting with Computers10.1093/iwc/iwae00436:4(209-223)Online publication date: 27-Feb-2024
https://doi.org/10.1093/iwc/iwae004
Zhu RShi LSong YCai Z(2023)Integrating Gaze and Mouse Via Joint Cross-Attention Fusion Net for Students' Activity Recognition in E-learningProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108767:3(1-35)Online publication date: 27-Sep-2023
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Wagner THirzle THuckauf ARukzio E(2023)Exploring Gesture and Gaze Proxies to Communicate Instructor’s Nonverbal Cues in Lecture VideosExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585842(1-7)Online publication date: 19-Apr-2023
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Recommendations

EyePoint: practical pointing and selection using gaze and keyboard

Evaluation of eye gaze interaction

Look and lean: accurate head-assisted eye pointing