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Article

Over-exposed?: privacy patterns and considerations in online and mobile photo sharing

Authors:

Nathaniel S. Good,

Rahul NairAuthors Info & Claims

CHI '07: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 357 - 366

https://doi.org/10.1145/1240624.1240683

Published: 29 April 2007 Publication History

Abstract

As sharing personal media online becomes easier and widely spread, new privacy concerns emerge - especially when the persistent nature of the media and associated context reveals details about the physical and social context in which the media items were created. In a first-of-its-kind study, we use context-aware camerephone devices to examine privacy decisions in mobile and online photo sharing. Through data analysis on a corpus of privacy decisions and associated context data from a real-world system, we identify relationships between location of photo capture and photo privacy settings. Our data analysis leads to further questions which we investigate through a set of interviews with 15 users. The interviews reveal common themes in privacy considerations: security, social disclosure, identity and convenience. Finally, we highlight several implications and opportunities for design of media sharing applications, including using past privacy patterns to prevent oversights and errors.

References

[1]

Acquisti, A. and Grossklags, J. Privacy and Rationality: Preliminary Evidence from Pilot Data. In Proc. WEIS 2004.

[2]

Acquisti, A. and Gross, R. Imagined Communities: Awareness, Information Sharing, and Privacy on the Facebook. Privacy Enhancing Technologies (2006).

Digital Library

[3]

Barkhuus, L., Dey, A.K. Location-based services for mobile telephony: a study of users' privacy concerns. In Proc. Interact 2003, (2003) 709--712.

[4]

Barnes, S. A privacy paradox: Social networking in the United States. First Monday 10, 9 (2006).

[5]

Bellotti, V. and Sellen, A. Design for Privacy in Ubiquitous Computing Environments. In Proc. ECSCW 1993, Kluwer (1993), 77--92.

Digital Library

[6]

Bellotti, V. What You Don't Know Can Hurt You: Privacy in Collaborative Computing. In Proc. HCI on People and Computers XI, ACM Press (1996), 241--261.

Digital Library

[7]

Consolvo, S., Smith, I. E., Matthews, T., LaMarca, A., Tabert, J., and Powledge, P. Location disclosure to social relations: why, when, & what people want to share. In Proc. CHI 2005, ACM Press (2005), 81--90.

Digital Library

[8]

Flickr -- http://flickr.com

[9]

Gemmell, J., Williams, L., Wood, K., Lueder, R., and Bell, G. Passive capture and ensuing issues for a personal lifetime store. In Proc. CARPE 2004, ACM Press (2004), 48--55.

Digital Library

[10]

Good, N. S. and Krekelberg, A. Usability and privacy: a study of Kazaa P2P file-sharing. In Proc. CHI '03. ACM Press (2003), 137--144.

Digital Library

[11]

Gruteser, M. and Grunwald, D. Enhancing location privacy in wireless LAN through disposable interface identifiers: a quantitative analysis. Mob. Netw. Appl. 10, 3 (2005), 315--325.

Digital Library

[12]

Gruteser, M., Schelle, G., Jain, A., and Grunwald. D. Privacy-aware location sensor networks. In Proc. HotOS 2003, (2003).

Digital Library

[13]

Halderman, J. A., Waters, B., and Felten, E. W. Privacy management for portable recording devices. In Proc. WPES 2004, ACM Press (2004), 16--24.

Digital Library

[14]

Hawkey, K. and Inkpen, K. M. Keeping up appearances: understanding the dimensions of incidental information privacy. In Proc. CHI 2006, ACM Press, 821--830.

Digital Library

[15]

Iachello, G., Truong, K. N., Abowd, G. D., Hayes, G. R., and Stevens, M. Prototyping and sampling experience to evaluate ubiquitous computing privacy in the real world. In Proc. CHI 2006, ACM Press, 1009--1018.

Digital Library

[16]

Ito, M., Okabe, D., and Matsuda, M. Personal, Portable, Pedestrian: Mobile Phones in Japanese Life. MIT Press (2005).

Digital Library

[17]

Hong, J. and Landay, J. An architecture for privacy-sensitive ubiquitous computing. In Proc. Conference on Mobile Systems, Applications, and Services, 2004.

Digital Library

[18]

Hull, R., Kumar, B., Lieuwen, D., Patel-Schneider, P. F., Sahuguet, A., Varadarajan, S. and Vyas A. Enabling Context-Aware and Privacy-Conscious User Data Sharing. In Proc. MDM 2004, IEEE (2004), 187--198.

[19]

Kindberg, T., Spasojevic, M., Fleck, R. and Sellen, A. The Ubiquitous Camera: An In-depth Study of Cameraphone Use. IEEE Pervasive Comp. 4, 2 (2005), 42--50.

Digital Library

[20]

Lederer, S., Hong, I., Dey, K. and Landay, A. Personal privacy through understanding and action: five pitfalls for designers. Personal Ubiquitous Computing. 8, 6 (Nov. 2004), 440--454.

[21]

Palen, L. and Dourish, P. Unpacking "privacy" for a networked world. In Proc. CHI 2003, ACM Press (2003), 129--136.

Digital Library

[22]

Patil, S. and Lai, J. Who gets to know what when: configuring privacy permissions in an awareness application. In Proc. CHI 2005, ACM Press (2005), 101--110.

Digital Library

[23]

Spiekermann, S., Grossklags, J., Berendt, B. Stated Privacy Preferences versus Actual Behaviour in EC environments: a Reality Check. In Proc. WI-IF 2001.

[24]

Stutzman, F. An Evaluation of Identity-Sharing Behavior in Social Network Communities. In Proc. iDMAa and IMS Code Conference, 2006.

[25]

Tang, K. P., Keyani, P., Fogarty, J., and Hong, J. I. Putting people in their place: an anonymous and privacy-sensitive approach to collecting sensed data in location-based applications. In Proc. CHI 2006, ACM Press (2006), 93--102.

Digital Library

[26]

van House, N., Davis, M., Ames, M., Finn, M., and Viswanathan, V. The uses of personal networked digital imaging: an empirical study of cameraphone photos and sharing. In Ext. Abstracts CHI 2006, ACM Press (2006), 1853--1856.

Digital Library

[27]

Varian, H. Economic Aspects of personal privacy. In Privacy and Self-Regulation in the Information Age, NTIA report (1996).

Cited By

Kang HLee JLee EToh C(2024)The Roles of Trust in Government and Sense of Community in the COVID-19 Contact Tracing Privacy Calculus: Mixed Method Study Using a 2-Wave Survey and In-Depth InterviewsJMIR mHealth and uHealth10.2196/4898612(e48986)Online publication date: 7-Mar-2024
https://doi.org/10.2196/48986
Khamis MPanskus RFarzand HMumm MMacdonald SMarky K(2024)Perspectives on DeepFakes for Privacy: Comparing Perceptions of Photo Owners and Obfuscated Individuals towards DeepFake Versus Traditional Privacy-Enhancing ObfuscationProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701602(300-312)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701602
Panskus RTanni TPonticello AMeissner ESolihin YKrombholz KMarky K(2024)Let me quickly share it - Time Pressure when Sharing on Social MediaProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701578(280-299)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701578
Show More Cited By

Index Terms

Over-exposed?: privacy patterns and considerations in online and mobile photo sharing
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Conferences

CHI '07: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2007

1654 pages

ISBN:9781595935939

DOI:10.1145/1240624

General Chair:
Mary Beth Rosson
The Pennsylvania State University, USA
,
Program Chair:
David Gilmore
Intel, USA

Copyright © 2007 ACM.

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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Publication History

Published: 29 April 2007

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CHI07

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CHI07: CHI Conference on Human Factors in Computing Systems

April 28 - May 3, 2007

California, San Jose, USA

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CHI '07 Paper Acceptance Rate 182 of 840 submissions, 22%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Kang HLee JLee EToh C(2024)The Roles of Trust in Government and Sense of Community in the COVID-19 Contact Tracing Privacy Calculus: Mixed Method Study Using a 2-Wave Survey and In-Depth InterviewsJMIR mHealth and uHealth10.2196/4898612(e48986)Online publication date: 7-Mar-2024
https://doi.org/10.2196/48986
Khamis MPanskus RFarzand HMumm MMacdonald SMarky K(2024)Perspectives on DeepFakes for Privacy: Comparing Perceptions of Photo Owners and Obfuscated Individuals towards DeepFake Versus Traditional Privacy-Enhancing ObfuscationProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701602(300-312)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701602
Panskus RTanni TPonticello AMeissner ESolihin YKrombholz KMarky K(2024)Let me quickly share it - Time Pressure when Sharing on Social MediaProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701578(280-299)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701578
Ishida MIkematsu KIgarashi Y(2024)Designing Privacy-Protecting System with Visual Masking Based on Investigation of Privacy Concerns in Virtual Screen Sharing EnvironmentsProceedings of the ACM on Human-Computer Interaction10.1145/36981338:ISS(165-188)Online publication date: 24-Oct-2024
https://dl.acm.org/doi/10.1145/3698133
Monteiro KWu YDas S(2024)Manipulate to Obfuscate: A Privacy-Focused Intelligent Image Manipulation Tool for End-UsersAdjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3672539.3686778(1-3)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3672539.3686778
Li MWang JZhang HZhou ZHu SPei XCai JKankanhalli MPrabhakaran BBoll SSubramanian RZheng LSingh VCesar PXie LXu D(2024)Transferable Adversarial Facial Images for Privacy ProtectionProceedings of the 32nd ACM International Conference on Multimedia10.1145/3664647.3681344(10649-10658)Online publication date: 28-Oct-2024
https://dl.acm.org/doi/10.1145/3664647.3681344
Logas JGarg PArriaga RDas S(2024)The Subversive AI Acceptance Scale (SAIA-8): A Scale to Measure User Acceptance of AI-Generated, Privacy-Enhancing Image ModificationsProceedings of the ACM on Human-Computer Interaction10.1145/36410248:CSCW1(1-43)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3641024
Elmimouni HBaumer EForte A(2024)On Being an Expert: Habitus as a Lens for Understanding Privacy ExpertiseProceedings of the ACM on Human-Computer Interaction10.1145/36373798:CSCW1(1-25)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637379
Lee HJung YShin YPark HChoi WLee U(2024)FamilyScope: Visualizing Affective Aspects of Family Social Interactions using Passive Sensor DataProceedings of the ACM on Human-Computer Interaction10.1145/36373348:CSCW1(1-27)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637334
Xu AZhou ZMiyazaki KYoshikawa RHosio SYatani K(2024)DIPA2Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314397:4(1-30)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631439
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