short-paper

A Psychophysics-inspired Model of Gaze Selection Performance

Authors:

T. Scott Murdison,

Marina ZannoliAuthors Info & Claims

ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications

Article No.: 25, Pages 1 - 5

https://doi.org/10.1145/3379156.3391336

Published: 02 June 2020 Publication History

Abstract

Eye gaze promises to be a fast and intuitive way of interacting with technology. Importantly, the performance of a gaze selection paradigm depends on the eye tracker used: Higher tracking accuracy allows for selection of smaller targets, and higher precision and sampling rate allow for faster and more robust interaction. Here we present a novel approach to predict the minimal eye tracker specifications required for gaze-based selection. We quantified selection performance for targets of different sizes while recording high-fidelity gaze data. Selection performance across target sizes was well modeled by a sigmoid similar to a psychometric function. We then simulated lower tracker fidelity by adding noise, a constant spatial bias, or temporal sub-sampling of the recorded data while re-fitting the model each time. Our approach can inform design by predicting performance for a given interface element and tracker fidelity or the minimal element size for a specific performance level.

References

[1]

W Becker. 1972. The control of eye movements in the saccadic system.Bibliotheca ophthalmologica: supplementa ad ophthalmologica 82 (1972), 233–243.

[2]

W Becker and AF Fuchs. 1969. Further properties of the human saccadic system: eye movements and correction saccades with and without visual fixation points. Vision research 9, 10 (1969), 1247–1258.

[3]

Jonas Blattgerste, Patrick Renner, and Thies Pfeiffer. 2018. Advantages of eye-gaze over head-gaze-based selection in virtual and augmented reality under varying field of views. In Proceedings of the Workshop on Communication by Gaze Interaction. ACM, 1.

Digital Library

[4]

Pieter Blignaut, Kenneth Holmqvist, Marcus Nyström, and Richard Dewhurst. 2014. Improving the accuracy of video-based eye tracking in real time through post-calibration regression. In Current Trends in Eye Tracking Research. Springer, 77–100.

[5]

Andreas Bulling and Hans Gellersen. 2010. Toward mobile eye-based human-computer interaction. IEEE Pervasive Computing 9, 4 (2010), 8–12.

Digital Library

[6]

Andrew T Duchowski, Donald H House, Jordan Gestring, Robert Congdon, Lech Świrski, Neil A Dodgson, Krzysztof Krejtz, and Izabela Krejtz. 2014. Comparing estimated gaze depth in virtual and physical environments. In Proceedings of the Symposium on Eye Tracking Research and Applications. ACM, 103–110.

Digital Library

[7]

Carlos Elmadjian, Pushkar Shukla, Antonio Diaz Tula, and Carlos H Morimoto. 2018. 3D gaze estimation in the scene volume with a head-mounted eye tracker. In Proceedings of the Workshop on Communication by Gaze Interaction. ACM, 3.

Digital Library

[8]

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 2017 CHI Conference on Human Factors in Computing Systems. ACM, 1118–1130.

Digital Library

[9]

Sven-Thomas Graupner, Michael Heubner, Sebastian Pannasch, and Boris M Velichkovsky. 2008. Evaluating requirements for gaze-based interaction in a see-through head mounted display. In Proceedings of the 2008 symposium on Eye tracking research & applications. ACM, 91–94.

Digital Library

[10]

Dan Witzner Hansen and Qiang Ji. 2010. In the eye of the beholder: A survey of models for eyes and gaze. IEEE transactions on pattern analysis and machine intelligence 32, 3(2010), 478–500.

[11]

John Paulin Hansen, Anders Sewerin Johansen, Dan Witzner Hansen, Kenji Itoh, and Satoru Mashino. 2003. Command without a click: Dwell time typing by mouse and gaze selections. In Proceedings of Human-Computer Interaction–INTERACT. 121–128.

[12]

Christopher M Harris and Daniel M Wolpert. 2006. The main sequence of saccades optimizes speed-accuracy trade-off. Biological cybernetics 95, 1 (2006), 21–29.

[13]

Kenneth Holmqvist, Marcus Nyström, and Fiona Mulvey. 2012. Eye tracker data quality: what it is and how to measure it. In Proceedings of the symposium on eye tracking research and applications. ACM, 45–52.

Digital Library

[14]

Robert JK Jacob. 1990. What you look at is what you get: eye movement-based interaction techniques. In Proceedings of the SIGCHI conference on Human factors in computing systems. ACM, 11–18.

Digital Library

[15]

Paivi Majaranta, Hirotaka Aoki, Mick Donegan, Dan Witzner Hansen, and John Paulin Hansen. 2011. Gaze Interaction and Applications of Eye Tracking: Advances in Assistive Technologies. (2011).

[16]

Päivi Majaranta and Andreas Bulling. 2014. Eye tracking and eye-based human–computer interaction. In Advances in physiological computing. Springer, 39–65.

[17]

Keith A. May and Joshua A. Solomon. 2013. Four Theorems on the Psychometric Function. PLOS ONE 8, 10 (10 2013), 1–34. https://doi.org/10.1371/journal.pone.0074815

[18]

George W McConkie. 1981. Evaluating and reporting data quality in eye movement research. Behavior Research Methods & Instrumentation 13, 2(1981), 97–106.

[19]

Jacob L Orquin and Kenneth Holmqvist. 2018. Threats to the validity of eye-movement research in psychology. Behavior research methods 50, 4 (2018), 1645–1656.

[20]

C Prablanc, D Masse, and JF Echallier. 1978. Error-correcting mechanisms in large saccades. Vision research 18, 5 (1978), 557–560.

[21]

Eyal M Reingold. 2014. Eye tracking research and technology: Towards objective measurement of data quality. Visual cognition 22, 3-4 (2014), 635–652.

[22]

Immo Schuetz, T. Scott Murdison, Kevin J. MacKenzie, and Marina Zannoli. 2019. An Explanation of Fitts’ Law-like Performance in Gaze-Based Selection Tasks Using a Psychophysics Approach. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19). ACM, New York, NY, USA, Article 535, 13 pages. https://doi.org/10.1145/3290605.3300765

Digital Library

[23]

Vildan Tanriverdi and Robert JK Jacob. 2000. Interacting with eye movements in virtual environments. In Proceedings of the SIGCHI conference on Human Factors in Computing Systems. ACM, 265–272.

Digital Library

[24]

Lore Thaler, Alexander C Schütz, Melvyn A Goodale, and Karl R Gegenfurtner. 2013. What is the best fixation target? The effect of target shape on stability of fixational eye movements. Vision Research 76(2013), 31–42.

[25]

Bernhard Treutwein. 1995. Adaptive psychophysical procedures. Vision research 35, 17 (1995), 2503–2522.

[26]

Robert J van Beers. 2007. The sources of variability in saccadic eye movements. Journal of Neuroscience 27, 33 (2007), 8757–8770.

[27]

AJ Van Opstal and JAM Van Gisbergen. 1989. Scatter in the metrics of saccades and properties of the collicular motor map. Vision research 29, 9 (1989), 1183–1196.

[28]

Colin Ware and Harutune H Mikaelian. 1987. An evaluation of an eye tracker as a device for computer input. In Acm sigchi bulletin, Vol. 17. ACM, 183–188.

[29]

Andrew B Watson and Denis G Pelli. 1983. QUEST: A Bayesian adaptive psychometric method. Perception & psychophysics 33, 2 (1983), 113–120.

[30]

Felix A Wichmann and N Jeremy Hill. 2001. The psychometric function: I. Fitting, sampling, and goodness of fit. Attention, Perception, & Psychophysics 63, 8 (2001), 1293–1313.

[31]

Chia-Chien Wu, Oh-Sang Kwon, and Eileen Kowler. 2010. Fitts’s Law and speed/accuracy trade-offs during sequences of saccades: Implications for strategies of saccadic planning. Vision Research 50, 21 (2010), 2142–2157.

Cited By

Fernandes ASchütz IMurdison TProulx M(2025)Gaze Inputs for Targeting: The Eyes Have It, Not With a CursorInternational Journal of Human–Computer Interaction10.1080/10447318.2025.2453966(1-19)Online publication date: 5-Feb-2025
https://doi.org/10.1080/10447318.2025.2453966
Fernandes AMurdison TSchuetz IKomogortsev OProulx M(2024)The Effect of Degraded Eye Tracking Accuracy on Interactions in VRProceedings of the 2024 Symposium on Eye Tracking Research and Applications10.1145/3649902.3656369(1-7)Online publication date: 4-Jun-2024
https://dl.acm.org/doi/10.1145/3649902.3656369
Chen DGiordano MBenko HGrossman TSantosa S(2023)GazeRayCursor: Facilitating Virtual Reality Target Selection by Blending Gaze and Controller RaycastingProceedings of the 29th ACM Symposium on Virtual Reality Software and Technology10.1145/3611659.3615693(1-11)Online publication date: 9-Oct-2023
https://dl.acm.org/doi/10.1145/3611659.3615693
Show More Cited By

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cover image ACM Conferences

ETRA '20 Short Papers: ACM Symposium on Eye Tracking Research and Applications

June 2020

305 pages

ISBN:9781450371346

DOI:10.1145/3379156

Editors:
Andreas Bulling
University of Stuttgart, Germany
,
Anke Huckauf
Ulm University, Germany
,
Eakta Jain
University of Florida, USA
,
Ralph Radach
University of Wuppertal, Germany
,
Daniel Weiskopf
University of Stuttgart, Germany

Copyright © 2020 ACM.

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Published: 02 June 2020

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ETRA '20

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ETRA '20: 2020 Symposium on Eye Tracking Research and Applications

June 2 - 5, 2020

Stuttgart, Germany

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Overall Acceptance Rate 69 of 137 submissions, 50%

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2025 Symposium on Eye Tracking Research and Applications

May 26 - 29, 2025

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Cited By

Fernandes ASchütz IMurdison TProulx M(2025)Gaze Inputs for Targeting: The Eyes Have It, Not With a CursorInternational Journal of Human–Computer Interaction10.1080/10447318.2025.2453966(1-19)Online publication date: 5-Feb-2025
https://doi.org/10.1080/10447318.2025.2453966
Fernandes AMurdison TSchuetz IKomogortsev OProulx M(2024)The Effect of Degraded Eye Tracking Accuracy on Interactions in VRProceedings of the 2024 Symposium on Eye Tracking Research and Applications10.1145/3649902.3656369(1-7)Online publication date: 4-Jun-2024
https://dl.acm.org/doi/10.1145/3649902.3656369
Chen DGiordano MBenko HGrossman TSantosa S(2023)GazeRayCursor: Facilitating Virtual Reality Target Selection by Blending Gaze and Controller RaycastingProceedings of the 29th ACM Symposium on Virtual Reality Software and Technology10.1145/3611659.3615693(1-11)Online publication date: 9-Oct-2023
https://dl.acm.org/doi/10.1145/3611659.3615693
Fernandes AMurdison TProulx M(2023)Leveling the Playing Field: A Comparative Reevaluation of Unmodified Eye Tracking as an Input and Interaction Modality for VRIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.324705829:5(2269-2279)Online publication date: 1-May-2023
https://dl.acm.org/doi/10.1109/TVCG.2023.3247058
Schuetz IKarimpur HFiehler K(2022)vexptoolbox: A software toolbox for human behavior studies using the Vizard virtual reality platformBehavior Research Methods10.3758/s13428-022-01831-655:2(570-582)Online publication date: 23-Mar-2022
https://doi.org/10.3758/s13428-022-01831-6
Mutasim ABatmaz AHudhud Mughrabi MStuerzlinger W(2022)Performance Analysis of Saccades for Primary and Confirmatory Target SelectionProceedings of the 28th ACM Symposium on Virtual Reality Software and Technology10.1145/3562939.3565619(1-12)Online publication date: 29-Nov-2022
https://dl.acm.org/doi/10.1145/3562939.3565619
Mughrabi MMutasim AStuerzlinger WBatmaz A(2022)My Eyes Hurt: Effects of Jitter in 3D Gaze Tracking2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW55335.2022.00070(310-315)Online publication date: Mar-2022
https://doi.org/10.1109/VRW55335.2022.00070
Isomoto TYamanaka SShizuki B(2021)Relationship between Dwell-Time and Model Human Processor for Dwell-based Image SelectionACM Symposium on Applied Perception 202110.1145/3474451.3476240(1-5)Online publication date: 16-Sep-2021
https://dl.acm.org/doi/10.1145/3474451.3476240

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