skip to main content
10.1145/3314111.3319913acmconferencesArticle/Chapter ViewAbstractPublication PagesetraConference Proceedingsconference-collections
research-article

PrivacEye: privacy-preserving head-mounted eye tracking using egocentric scene image and eye movement features

Published: 25 June 2019 Publication History

Abstract

Eyewear devices, such as augmented reality displays, increasingly integrate eye tracking, but the first-person camera required to map a user's gaze to the visual scene can pose a significant threat to user and bystander privacy. We present PrivacEye, a method to detect privacy-sensitive everyday situations and automatically enable and disable the eye tracker's first-person camera using a mechanical shutter. To close the shutter in privacy-sensitive situations, the method uses a deep representation of the first-person video combined with rich features that encode users' eye movements. To open the shutter without visual input, PrivacEye detects changes in users' eye movements alone to gauge changes in the "privacy level" of the current situation. We evaluate our method on a first-person video dataset recorded in daily life situations of 17 participants, annotated by themselves for privacy sensitivity, and show that our method is effective in preserving privacy in this challenging setting.

Supplementary Material

ZIP File (a26-steil.zip)
Supplemental files.

References

[1]
Paarijaat Aditya, Rijurekha Sen, Peter Druschel, Seong Joon Oh, Rodrigo Benenson, Mario Fritz, Bernt Schiele, Bobby Bhattacharjee, and Tong Tong Wu. 2016. I-pic: A platform for Privacy-compliant Image Capture. In Annual International Conference on Mobile Systems, Applications, and Services (MobiSys). ACM, 235--248.
[2]
Olivier Aubert, Yannick Prié, and Daniel Schmitt. 2012. Advene As a Tailorable Hypervideo Authoring Tool: A Case Study. In Proceedings of the 2012 ACM Symposium on Document Engineering (DocEng '12). ACM, New York, NY, USA, 79--82.
[3]
Lemi Baruh and Zeynep Cemalcilar. 2014. It is more than personal: Development and validation of a multidimensional privacy orientation scale. Personality and Individual Differences 70 (2014), 165--170. https://doi.org/
[4]
Jürgen Bohn, Vlad Coroamă, Marc Langheinrich, Friedemann Mattern, and Michael Rohs. 2005. Social, economic, and ethical implications of ambient intelligence and ubiquitous computing. In Ambient Intelligence. Springer, 5--29.
[5]
Andreas Bulling and Kai Kunze. 2016. Eyewear Computers for Human-Computer Interaction. ACM Interactions 23, 3 (2016), 70--73.
[6]
Andreas Bulling, Jamie A. Ward, and Hans Gellersen. 2012. Multimodal Recognition of Reading Activity in Transit Using Body-Worn Sensors. ACM Transactions on Applied Perception 9, 1 (2012), 2:1--2:21.
[7]
Andreas Bulling, Jamie A. Ward, Hans Gellersen, and Gerhard Tröster. 2011. Eye Movement Analysis for Activity Recognition Using Electrooculography. IEEE Transactions on Pattern Analysis and Machine Intelligence 33, 4 (April 2011), 741--753.
[8]
Andreas Bulling, Christian Weichel, and Hans Gellersen. 2013. EyeContext: Recognition of High-level Contextual Cues from Human Visual Behaviour. In Proc. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI). 305--308.
[9]
Kelly Caine. 2009. Exploring everyday privacy behaviors and misclosures. Georgia Institute of Technology.
[10]
Liwei Chan and Kouta Minamizawa. 2017. FrontFace: Facilitating Communication Between HMD Users and Outsiders Using Front-facing-screen HMDs. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '17). ACM, New York, NY, USA, Article 22, 5 pages.
[11]
Soumyadeb Chowdhury, Md Sadek Ferdous, and Joemon M Jose. 2016. Exploring Lifelog Sharing and Privacy. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct (UbiComp '16). ACM, New York, NY, USA, 553--558.
[12]
Tamara Denning, Zakariya Dehlawi, and Tadayoshi Kohno. 2014. In situ with Bystanders of Augmented Reality Glasses: Perspectives on Recording and Privacy-mediating Technologies. In Proceedings of the Conference on Human Factors in Computing Systems (CHI). ACM, 2377--2386.
[13]
Barrett Ens, Tovi Grossman, Fraser Anderson, Justin Matejka, and George Fitzmaurice. 2015. Candid interaction: Revealing hidden mobile and wearable computing activities. In Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology. ACM, 467--476.
[14]
Zackory Erickson, Jared Compiano, and Richard Shin. 2014. Neural Networks for Improving Wearable Device Security. (2014).
[15]
Charles W Eriksen and Yei-yu Yeh. 1985. Allocation of attention in the visual field. Journal of Experimental Psychology: Human Perception and Performance 11, 5 (1985), 583.
[16]
Md Sadek Ferdous, Soumyadeb Chowdhury, and Joemon M Jose. 2017. Analysing privacy in visual lifelogging. Pervasive and Mobile Computing (2017).
[17]
Gerhard Fischer. 2001. User modeling in human-computer interaction. User modeling and user-adapted interaction 11, 1--2 (2001), 65--86.
[18]
Jonna Häkkilä, Farnaz Vahabpour, Ashley Colley, Jani Väyrynen, and Timo Koskela. 2015. Design Probes Study on User Perceptions of a Smart Glasses Concept. In Proceedings of the 14th International Conference on Mobile and Ubiquitous Multimedia (MUM '15). ACM, New York, NY, USA, 223--233.
[19]
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.
[20]
Adam Harvey. 2010. Camoflash-anti-paparazzi clutch. (2010). http://ahprojects.com/projects/camoflash/ accessed 13/09/2017.
[21]
Adam Harvey. 2012. CVDazzle: Camouflage from Computer Vision. Technical report (2012).
[22]
Sabrina Hoppe, Tobias Loetscher, Stephanie Morey, and Andreas Bulling. 2018. Eye Movements During Everyday Behavior Predict Personality Traits. Frontiers in Human Neuroscience 12 (2018).
[23]
Roberto Hoyle, Robert Templeman, Denise Anthony, David Crandall, and Apu Kapadia. 2015. Sensitive lifelogs: A privacy analysis of photos from wearable cameras. In Proceedings of the 33rd Annual ACM conference on human factors in computing systems. ACM, 1645--1648.
[24]
Roberto Hoyle, Robert Templeman, Steven Armes, Denise Anthony, David Crandall, and Apu Kapadia. 2014. Privacy Behaviors of Lifeloggers using Wearable Cameras. In International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp). ACM, 571--582.
[25]
Laurent Itti and Christof Koch. 2001. Computational modelling of visual attention. Nature reviews neuroscience 2, 3 (2001), 194.
[26]
Moritz Kassner, William Patera, and Andreas Bulling. 2014. Pupil: an open source platform for pervasive eye tracking and mobile gaze-based interaction. In Adj. Proc. UbiComp. 1151--1160.
[27]
Marion Koelle, Wilko Heuten, and Susanne Boll. 2017. Are You Hiding It?: Usage Habits of Lifelogging Camera Wearers. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '17). ACM, New York, NY, USA, Article 80, 8 pages.
[28]
Marion Koelle, Matthias Kranz, and Andreas Möller. 2015. Don't look at me that way!: Understanding User Attitudes Towards Data Glasses Usage. In Proceedings of the 17th international conference on human-computer interaction with mobile devices and services. ACM, 362--372.
[29]
Marion Koelle, Katrin Wolf, and Susanne Boll. 2018. Beyond LED Status Lights-Design Requirements of Privacy Notices for Body-worn Cameras. In Proceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction. ACM, 177--187.
[30]
Mohammed Korayem, Robert Templeman, Dennis Chen, David Crandall, and Apu Kapadia. 2014. Screenavoider: Protecting computer screens from ubiquitous cameras. arXiv preprint arXiv:1412.0008 (2014).
[31]
Mohammed Korayem, Robert Templeman, Dennis Chen, David Crandall, and Apu Kapadia. 2016. Enhancing lifelogging privacy by detecting screens. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 4309--4314.
[32]
Katharina Krombholz, Adrian Dabrowski, Matthew Smith, and Edgar Weippl. 2015. Ok glass, leave me alone: towards a systematization of privacy enhancing technologies for wearable computing. In International Conference on Financial Cryptography and Data Security. Springer, 274--280.
[33]
Daniel J Liebling and Sören Preibusch. 2014. Privacy considerations for a pervasive eye tracking world. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication. ACM, 1169--1177.
[34]
Philipp Mayring. 2014. Qualitative content analysis: theoretical foundation, basic procedures and software solution. 143 pages.
[35]
Vivian Genaro Motti and Kelly Caine. 2016. Towards a Visual Vocabulary for Privacy Concepts. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Vol. 60. SAGE Publications Sage CA: Los Angeles, CA, 1078--1082.
[36]
Tribhuvanesh Orekondy, Bernt Schiele, and Mario Fritz. 2017. Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images. In International Conference on Computer Vision (ICCV 2017). Venice, Italy.
[37]
Alfredo J Perez, Sherali Zeadally, and Scott Griffith. 2017. Bystanders' Privacy. IT Professional 19, 3 (2017), 61--65.
[38]
Rebecca S Portnoff, Linda N Lee, Serge Egelman, Pratyush Mishra, Derek Leung, and David Wagner. 2015. Somebody's watching me?: Assessing the effectiveness of Webcam indicator lights. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, 1649--1658.
[39]
Zachary Pousman, Giovanni Iachello, Rachel Fithian, Jehan Moghazy, and John Stasko. 2004. Design iterations for a location-aware event planner. Personal and Ubiquitous Computing 8, 2 (2004), 117--125.
[40]
Sören Preibusch. 2014. Eye-tracking. Privacy interfaces for the next ubiquitous modality. In 2014 W3C Workshop on Privacy and User-Centric Controls. https://www.w3.org/2014/privacyws/pp/Preibusch.pdf
[41]
Blaine A. Price, Avelie Stuart, Gul Calikli, Ciaran Mccormick, Vikram Mehta, Luke Hutton, Arosha K. Bandara, Mark Levine, and Bashar Nuseibeh. 2017. Logging You, Logging Me: A Replicable Study of Privacy and Sharing Behaviour in Groups of Visual Lifeloggers. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 2, Article 22 (June 2017), 18 pages.
[42]
Halley Profita, Reem Albaghli, Leah Findlater, Paul Jaeger, and Shaun K Kane. 2016. The AT Effect: How Disability Affects the Perceived Social Acceptability of Head-Mounted Display Use. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 4884--4895.
[43]
Nisarg Raval, Animesh Srivastava, Kiron Lebeck, Landon Cox, and Ashwin Machanavajjhala. 2014. Markit: Privacy markers for protecting visual secrets. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication. ACM, 1289--1295.
[44]
Jeremy Schiff, Marci Meingast, Deirdre K Mulligan, Shankar Sastry, and Ken Goldberg. 2007. Respectful cameras: Detecting visual markers in real-time to address privacy concerns. In Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on. IEEE, 971--978.
[45]
Roman Schlegel, Apu Kapadia, and Adam J Lee. 2011. Eyeing your exposure: quantifying and controlling information sharing for improved privacy. In Proceedings of the Seventh Symposium on Usable Privacy and Security. ACM, 14.
[46]
Jiayu Shu, Rui Zheng, and Pan Hui. 2016. Cardea: Context-aware visual privacy protection from pervasive cameras. arXiv preprint arXiv:1610.00889 (2016).
[47]
Julian Steil and Andreas Bulling. 2015. Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models. In Proc. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp). 75--85.
[48]
Julian Steil, Philipp Müller, Yusuke Sugano, and Andreas Bulling. 2018. Forecasting user attention during everyday mobile interactions using device-integrated and wearable sensors. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services. ACM, 1.
[49]
Yusuke Sugano and Andreas Bulling. 2015. Self-Calibrating Head-Mounted Eye Trackers Using Egocentric Visual Saliency. In Proc. of the 28th ACM Symposium on User Interface Software and Technology (UIST 2015). 363--372.
[50]
Yusuke Sugano, Xucong Zhang, and Andreas Bulling. 2016. Aggregaze: Collective estimation of audience attention on public displays. In Proceedings of the 29th Annual Symposium on User Interface Software and Technology. ACM, 821--831.
[51]
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich. 2015. Going Deeper with Convolutions. In Computer Vision and Pattern Recognition (CVPR). http://arxiv.org/abs/1409.4842
[52]
Robert Templeman, Mohammed Korayem, David J Crandall, and Apu Kapadia. 2014. PlaceAvoider: Steering First-Person Cameras away from Sensitive Spaces. In NDSS.
[53]
Marc Tonsen, Julian Steil, Yusuke Sugano, and Andreas Bulling. 2017. InvisibleEye: Mobile Eye Tracking Using Multiple Low-Resolution Cameras and Learning-Based Gaze Estimation. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) 1, 3 (2017), 106:1--106:21.
[54]
Khai Truong, Shwetak Patel, Jay Summet, and Gregory Abowd. 2005. Preventing camera recording by designing a capture-resistant environment. UbiComp 2005: Ubiquitous Computing (2005), 903--903.
[55]
Roel Vertegaal et al. 2003. Attentive user interfaces. Commun. ACM 46, 3 (2003), 30--33.
[56]
Alan F Westin. 2003. Social and political dimensions of privacy. Journal of social issues 59, 2 (2003), 431--453.
[57]
Takayuki Yamada, Seiichi Gohshi, and Isao Echizen. 2013. Privacy visor: Method based on light absorbing and reflecting properties for preventing face image detection. In Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on. IEEE, 1572--1577.
[58]
Jun Yu, Baopeng Zhang, Zhengzhong Kuang, Dan Lin, and Jianping Fan. 2017. iPrivacy: image privacy protection by identifying sensitive objects via deep multi-task learning. IEEE Transactions on Information Forensics and Security 12, 5 (2017), 1005--1016.

Cited By

View all
  • (2024)Manual, Hybrid, and Automatic Privacy Covers for Smart Home CamerasProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661569(3453-3470)Online publication date: 1-Jul-2024
  • (2024)DIPA2Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314397:4(1-30)Online publication date: 12-Jan-2024
  • (2024)In Focus, Out of Privacy: The Wearer's Perspective on the Privacy Dilemma of Camera GlassesProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642242(1-18)Online publication date: 11-May-2024
  • Show More Cited By

Index Terms

  1. PrivacEye: privacy-preserving head-mounted eye tracking using egocentric scene image and eye movement features

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      ETRA '19: Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications
      June 2019
      623 pages
      ISBN:9781450367097
      DOI:10.1145/3314111
      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 the author(s) 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].

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 25 June 2019

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. egocentric vision
      2. gaze behaviour
      3. privacy protection

      Qualifiers

      • Research-article

      Funding Sources

      • JST CREST

      Conference

      ETRA '19

      Acceptance Rates

      Overall Acceptance Rate 69 of 137 submissions, 50%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)132
      • Downloads (Last 6 weeks)10
      Reflects downloads up to 25 Aug 2024

      Other Metrics

      Citations

      Cited By

      View all
      • (2024)Manual, Hybrid, and Automatic Privacy Covers for Smart Home CamerasProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661569(3453-3470)Online publication date: 1-Jul-2024
      • (2024)DIPA2Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314397:4(1-30)Online publication date: 12-Jan-2024
      • (2024)In Focus, Out of Privacy: The Wearer's Perspective on the Privacy Dilemma of Camera GlassesProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642242(1-18)Online publication date: 11-May-2024
      • (2024)Gaze-enabled activity recognition for augmented reality feedbackComputers and Graphics10.1016/j.cag.2024.103909119:COnline publication date: 1-Apr-2024
      • (2024)Anonymizing eye-tracking stimuli with stable diffusionComputers & Graphics10.1016/j.cag.2024.103898119(103898)Online publication date: Apr-2024
      • (2024)An Outlook into the Future of Egocentric VisionInternational Journal of Computer Vision10.1007/s11263-024-02095-7Online publication date: 28-May-2024
      • (2023)Privacy Filtering Using Word Embedding for 3D Point Cloud Based Spatial Sharing Systems2023 Fourteenth International Conference on Mobile Computing and Ubiquitous Network (ICMU)10.23919/ICMU58504.2023.10412252(1-7)Online publication date: 29-Nov-2023
      • (2023)Assessing Eye Tracking for Continuous Central Field Loss MonitoringProceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia10.1145/3626705.3627776(54-64)Online publication date: 3-Dec-2023
      • (2023)Privacy in Eye Tracking Research with Stable DiffusionProceedings of the 2023 Symposium on Eye Tracking Research and Applications10.1145/3588015.3589842(1-7)Online publication date: 30-May-2023
      • (2023)GEAR: Gaze-enabled augmented reality for human activity recognitionProceedings of the 2023 Symposium on Eye Tracking Research and Applications10.1145/3588015.3588402(1-9)Online publication date: 30-May-2023
      • Show More Cited By

      View Options

      Get Access

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media

      -