Visible to the public Designing for Privacy - October 2022Conflict Detection Enabled

Submitted by juliabernd on Wed, 11/16/2022 - 6:06am

PI(s), Co-PI(s), Researchers:

  • Serge Egelman (ICSI)
  • Julia Bernd (ICSI)

HARD PROBLEM(S) ADDRESSED
Human Behavior, Policy-Governed Secure Collaboration

PUBLICATIONS

  • In press:
    Alisa Frik, Julia Bernd, and Serge Egelman. 2022. A Model of Contextual Factors Affecting Older Adults' Information-Sharing Decisions in the US. ACM Transactions on Computer-Human Interaction. https://doi.org/10.1145/3557888
  • Presented/published:
    Julia Bernd, Ruba Abu-Salma, Junghyun Choy, and Alisa Frik. Balancing Power Dynamics in Smart Homes: Nannies' Perspectives on How Cameras Reflect and Affect Relationships. In Proceedings of the 18th Symposium on Usable Privacy and Security (SOUPS '22), Boston, MA, August 8-9, 2022. USENIX Assoc., Berkeley, CA, USA. 2022.

KEY HIGHLIGHTS

  • We presented our paper "Balancing Power Dynamics in Smart Homes: Nannies' Perspectives on How Cameras Reflect and Affect Relationships", describing specific privacy considerations for domestic workers in smart homes and their implications for socio-technical design (authors Julia Bernd, Ruba Abu-Salma, Junghyun Choy, and Alisa Frik; details in January 2022 report), at SOUPS (the USENIX Symposium on Usable Privacy and Security) on August 9. Co-located with the annual USENIX Security conference, SOUPS attracts an audience of academic and industry researchers working on human factors in security and privacy.

  • With colleagues at KCL, we are building on the research with nannies by analyzing interviews we conducted concurrently with parents who employ nannies, to identify any design-relevant disconnects between the expectations of the two sides, about both the use of smart home devices for intentional monitoring (e.g. nanny cams) and the presence of smart home devices that (generally) are deployed for unrelated purposes (e.g. smart speakers). We have developed an initial codebook (based on the one we used previously to analyze the nanny interviews) and have begun thematic coding of the interview transcripts.

  • As described in previous reports, we are working with colleagues at UC Berkeley and KCL to design a broad survey (in two languages and four countries) designed to quantify people's experiences of smart devices in their own homes vs. the homes of other people, in particular whether and how current device designs may be able to allow for consideration of bystander privacy. After receiving IRB exemptions, we conducted user testing of the survey instrument and are preparing to conduct a full pilot.

  • We are also continuing to work on designing a vignette-style survey to surface social norms about what information it is acceptable for smart home devices to collect and share about secondary users or bystanders in different situations (e.g. homes where domestic employees are working, short-term rentals, institutional housing, etc.), based on the theory of privacy as contextual integrity. We are continuing to assemble data practices and other contextual factors to vary in the vignettes and construct them into scenarios.

  • We presented the initial design of the two surveys above at the 4th Annual Symposium on Applications of Contextual Integrity in September, and received helpful feedback in the discussion about how we can best extract design-relevant social norms in this format.

COMMUNITY ENGAGEMENTS

  • As noted above, we presented our work at the Symposium on Usable Privacy and Security (SOUPS) and the Symposium on Applications of Contextual Integrity.

EDUCATIONAL ADVANCES:

  • These projects involved undergraduate and graduate students; the survey on smart home experiences is being led by a UC Berkeley grad student.

Groups: