research-article

Privacy considerations for a pervasive eye tracking world

Authors:

Daniel J. Liebling,

Sören PreibuschAuthors Info & Claims

UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

Pages 1169 - 1177

https://doi.org/10.1145/2638728.2641688

Published: 13 September 2014 Publication History

Abstract

Multiple vendors now provide relatively inexpensive desktop eye and gaze tracking devices. With miniature-ization and decreasing manufacturing costs, gaze trackers will follow the path of webcams, becoming ubiquitous and inviting many of the same privacy concerns. However, whereas the privacy loss from webcams may be obvious to the user, gaze tracking is more opaque and deserves special attention. In this paper, we review current research in gaze tracking and pupillometry and argue that gaze data should be protected by both policy and good data hygiene.

References

[1]

Bar-Haim, Y., Ziv, T., Lamy, D., and Hodes, R. M. Nature and Nurture in Own-Race Face Processing. Psychological Science 17 (2). 2006.

[2]

Bednarik R., Kinnunen T., Mihaila A., and Fränti P. Proc. 14th Scandanavian Conference on Image Analysis. LNCS 3540, pp. 780--789. 2005.

Digital Library

[3]

Borji, A. and Itti, L. Defending Yarbus: Eye movements reveal observers' task. Journal of Vision, 14 (3). 2014.

[4]

Convention between the Kingdom of Belgium, the Federal Republic of Germany, the Kingdom of Spain, The French Republic, the Grand Duchy of Luxembourg, the Kingdom of the Netherlands and the Republic of Austria on the stepping up of cross-border cooperation, particularly in combating terrorism, cross-border crime and illegal migration. UNTS 2617. 2005.

[5]

Dalton, K. M., Nacewicz, B. M., Johnstone, T., Schaefer, H. S., Gernsbacher, M. A., Goldsmith, H. H., Alexander, A. L., and Davidson, R. J. Gaze fixation and the neural circuitry of face processing in autism. Nature Neuroscience, 8. pp. 519--526, 2005.

[6]

DIN Deutsches Institut für Normung e. V. DIN 33450. Graphisches Symbol zum Hinweis auf Beobachtung mit optisch-elektronischen Einrichtungen (Video-Infozeichen) {Graphical symbol for information about surveillance with optical-electronic devices (video-info signs)}, 2014.

[7]

Directive 95/46/EC of the European Parliament and of the Council of 24 October 1995 on the protection of individuals with regard to the processing of personal data and on the free movement of such data. 24 October 1995.

[8]

Graham, R., Hoover, A., Ceballos, N. A., and Komogortsev, O. V. Body mass index moderates gaze orienting biases and pupil diameter to high and low calorie food images. Appetite, 56 (3). 2011.

[9]

Hess, E. H. and Polt, J. M. Pupil size as related to interest value of visual stimuli. Science, 132, pp. 349--350. 1960.

[10]

Kasprowski, P., Komogortsev, O. V., and Karpov, A. Biometrics: Theory, Applications and Systems (BTAS) 2012 IEEE 5th Int'l. Conf. on Biometrics Compendium. 2012.

[11]

Kim, S., Cao, X., Zhang, H., and Tan, D. S. Enabling Concurrent Dual Views on Common LCD Screens. Proc. ACM Conference on Human Factors in Computing Systems (CHI) 2012.

Digital Library

[12]

Krumm, J. A survey of computational location privacy. Personal and Ubiquitous Computing, 13 (6). 2009.

Digital Library

[13]

Laeng, B. and Falkenberg, L. Women's pupillary responses to sexually significant others during the hormonal cycle. Hormones and Behavior, 52 (4). 2007.

[14]

Liu, Y., Hsueh, P.-Y., Lai, J., Sangin, M., Nüssli, M.-A., and Dillenbourg, P. Who is the expert? Analyzing gaze data to predict expertise level in collaborative applications. Proc. IEEE Int'l. Conf. on Multimedia and Expo 2009.

Digital Library

[15]

Munoz, D. P., Broughton, J. R., Goldring, J. E., and Armstrong, I. T. Age-related performance of human subjects on saccadic eye movement tasks. Experimental Brain Research 121 (4). 1998.

[16]

Partala, T., Jokiniemi M., and Surakka V. Pupillary responses to emotionally provocative stimuli. Proc. ETRA 2000.

Digital Library

[17]

Privacy in Xbox One and Kinect. http://www.microsoft.com/security/online-privacy/xbox.aspx. Retrieved 1 July 2014.

[18]

Rayner, K., Eye movements in reading and information processing: 20 years of research. Psychological Bulletin 124 (3). 1998.

[19]

Riley v. California, 573 U.S. ___ (2014).

[20]

Smallwood J., Brown, K. S., Tipper, C., Giesbrecht, B., Franklin M. S., et al. Pupillometric Evidence for the Decoupling of Attention from Perceptual Input during Offline Thought. PLoS ONE, 6 (3). 2011.

[21]

Umphress, D., and Williams, G. Int'l. J. Man-Machine Studies, 23 (3). 1985.

[22]

Uzzaman, S., & Joordens, S. The eyes know what you are thinking: eye movements as an objective measure of mind wandering. Consciousness and cognition, 20 (4). 2011.

[23]

Vrzakova, H., and Bednarik, R. EyeCloud: Cloud Computing for Pervasive Eye-Tracking. Proc. 3rd Int'l. Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction (PETMEI) 2013.

[24]

Westin, A. Privacy and Freedom. New York: Atheneum, 1967.

[25]

Wooding, D. S., Mugglestone, M. D., Purdy, K. J., and Gale, A. G. Eye movements of large populations: Implementation and performance of an autonomous public eye tracker. Behavioral Research Methods 34 (4). 2002.

[26]

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

Cited By

Özdel SBozkir EKasneci E(2024)Privacy-preserving Scanpath Comparison for Pervasive Eye TrackingProceedings of the ACM on Human-Computer Interaction10.1145/36556058:ETRA(1-28)Online publication date: 28-May-2024
https://dl.acm.org/doi/10.1145/3655605
Bühler BBozkir EDeininger HGerjets PTrautwein UKasneci E(2024)On Task and in Sync: Examining the Relationship between Gaze Synchrony and Self-reported Attention During Video Lecture LearningProceedings of the ACM on Human-Computer Interaction10.1145/36556048:ETRA(1-18)Online publication date: 28-May-2024
https://dl.acm.org/doi/10.1145/3655604
Slavuljica ABektas KStrecker JMayer S(2024)NeighboAR: Efficient Object Retrieval using Proximity- and Gaze-based Object Grouping with an AR SystemProceedings of the ACM on Human-Computer Interaction10.1145/36555998:ETRA(1-19)Online publication date: 28-May-2024
https://dl.acm.org/doi/10.1145/3655599
Show More Cited By

Index Terms

Privacy considerations for a pervasive eye tracking world
1. Security and privacy
  1. Human and societal aspects of security and privacy
2. Social and professional topics
  1. Computing / technology policy
    1. Privacy policies

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Published In

cover image ACM Conferences

UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

September 2014

1409 pages

ISBN:9781450330473

DOI:10.1145/2638728

General Chairs:
AJ Brush
Microsoft Research
,
Adrian Friday
Lancaster University, UK
,
Program Chairs:
Julie Kientz
University of Washington
,
James Scott
Microsoft Research, UK
,
Junehwa Song
Korea Advanced Institute of Science and Technology (KAIST), KR

Copyright © 2014 ACM.

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Published: 13 September 2014

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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Cited By

Özdel SBozkir EKasneci E(2024)Privacy-preserving Scanpath Comparison for Pervasive Eye TrackingProceedings of the ACM on Human-Computer Interaction10.1145/36556058:ETRA(1-28)Online publication date: 28-May-2024
https://dl.acm.org/doi/10.1145/3655605
Bühler BBozkir EDeininger HGerjets PTrautwein UKasneci E(2024)On Task and in Sync: Examining the Relationship between Gaze Synchrony and Self-reported Attention During Video Lecture LearningProceedings of the ACM on Human-Computer Interaction10.1145/36556048:ETRA(1-18)Online publication date: 28-May-2024
https://dl.acm.org/doi/10.1145/3655604
Slavuljica ABektas KStrecker JMayer S(2024)NeighboAR: Efficient Object Retrieval using Proximity- and Gaze-based Object Grouping with an AR SystemProceedings of the ACM on Human-Computer Interaction10.1145/36555998:ETRA(1-19)Online publication date: 28-May-2024
https://dl.acm.org/doi/10.1145/3655599
Wu NLiu KCheng RHan BZhou POkoshi TKo JLiKamWa R(2024)Theia: Gaze-driven and Perception-aware Volumetric Content Delivery for Mixed Reality HeadsetsProceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services10.1145/3643832.3661858(70-84)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1145/3643832.3661858
Bozkir EÖzdel SLau KWang MGao HKasneci E(2024)Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and PrivacyProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665563(1-7)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3640794.3665563
Abraham MMcgill MKhamis M(2024)What You Experience is What We Collect: User Experience Based Fine-Grained Permissions for Everyday Augmented RealityProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642668(1-24)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642668
Byrne SCastner NBozkir ENiehorster DKasneci E(2024)From Lenses to Living Rooms: A Policy Brief on Eye Tracking in XR Before the Impending Boom2024 IEEE International Conference on Artificial Intelligence and eXtended and Virtual Reality (AIxVR)10.1109/AIxVR59861.2024.00020(90-96)Online publication date: 17-Jan-2024
https://doi.org/10.1109/AIxVR59861.2024.00020
Bektaş KStrecker JMayer SGarcia K(2024)Gaze-enabled activity recognition for augmented reality feedbackComputers and Graphics10.1016/j.cag.2024.103909119:COnline publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1016/j.cag.2024.103909
Kurzhals K(2024)Anonymizing eye-tracking stimuli with stable diffusionComputers & Graphics10.1016/j.cag.2024.103898119(103898)Online publication date: Apr-2024
https://doi.org/10.1016/j.cag.2024.103898
Menéndez González NBozkir E(2024)Eye-Tracking Devices for Virtual and Augmented Reality Metaverse Environments and Their Compatibility with the European Union General Data Protection RegulationDigital Society10.1007/s44206-024-00128-93:2Online publication date: 22-Jul-2024
https://doi.org/10.1007/s44206-024-00128-9
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