Privacy mechanisms for drones: Perceptions of drone controllers and bystanders

Yaxing Yao; Huichuan Xia; Yun Huang; Yang Wang

doi:10.1145/3025453.3025907

Privacy mechanisms for drones: Perceptions of drone controllers and bystanders

Yaxing Yao, Huichuan Xia, Yun Huang, Yang Wang

School of Information Studies

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Scopus citations

Abstract

Drones pose privacy concerns such as surveillance and stalking. Many technology-based or policy-based mechanisms have been proposed to mitigate these concerns. However, it is unclear how drone controllers and bystanders perceive these mechanisms and whether people intend to adopt them. In this paper, we report results from two rounds of online survey with 169 drone controllers and 717 bystanders in the U.S. We identified respondents' perceived pros and cons of eight privacy mechanisms. We found that owner registration and automatic face blurring individually received most support from both controllers and bystanders. Our respondents also suggested using varied combinations of mechanisms under different drone usage scenarios, highlighting their context-dependent preferences. We outline a set of important questions for future privacy designs and public policies of drones. Copyright is held by the owner/author(s). Publication rights licensed to ACM.

Original language	English (US)
Title of host publication	CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publication	Explore, Innovate, Inspire
Publisher	Association for Computing Machinery
Pages	6777-6788
Number of pages	12
Volume	2017-May
ISBN (Electronic)	9781450346559
DOIs	https://doi.org/10.1145/3025453.3025907
State	Published - May 2 2017
Event	2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017 - Denver, United States Duration: May 6 2017 → May 11 2017

Other

Other	2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017
Country	United States
City	Denver
Period	5/6/17 → 5/11/17

Keywords

Drone
Perceptions
Privacy mechanisms
UAS
UAV

ASJC Scopus subject areas

Human-Computer Interaction
Computer Graphics and Computer-Aided Design
Software

Access to Document

10.1145/3025453.3025907

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Cite this

Yao, Y., Xia, H., Huang, Y., & Wang, Y. (2017). Privacy mechanisms for drones: Perceptions of drone controllers and bystanders. In CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire (Vol. 2017-May, pp. 6777-6788). Association for Computing Machinery. https://doi.org/10.1145/3025453.3025907

Privacy mechanisms for drones : Perceptions of drone controllers and bystanders. / Yao, Yaxing; Xia, Huichuan; Huang, Yun; Wang, Yang.

CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. Vol. 2017-May Association for Computing Machinery, 2017. p. 6777-6788.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yao, Y, Xia, H, Huang, Y & Wang, Y 2017, Privacy mechanisms for drones: Perceptions of drone controllers and bystanders. in CHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire. vol. 2017-May, Association for Computing Machinery, pp. 6777-6788, 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017, Denver, United States, 5/6/17. https://doi.org/10.1145/3025453.3025907

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