Synthia Qia Wang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Synthia Qia Wang has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Nick Feamster
University of Chicago, Chicago, IL, USA
2 shared publications - Lan Gao
Department of Computer Science, University of Chicago, Chicago, Illinois, USA
1 shared publication - Marshini Chetty
Department of Computer Science, University of Chicago, Chicago, Illinois, USA
1 shared publication - Nina Taft
Google, Sunnyvale, California, USA
1 shared publication - Sai Teja Peddinti
Google, Mountain View, CA, USA
1 shared publication
Latest Publications
- Open Access
- 13 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-17
Beyond PII: How Users Attempt to Estimate and Mitigate Implicit LLM Inference
- 13 April 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-17
Open AccessBeyond PII: How Users Attempt to Estimate and Mitigate Implicit LLM Inference
- Open Access
- 16 October 2025
- Published by Association for Computing Machinery (ACM) in Proceedings of the ACM on Human-Computer Interaction
- Vol. 9 (7) , 1-30
Understanding User Privacy Concerns of Shared Smart TVs
As smart TVs gain popularity, they introduce significant privacy and security concerns due to their extensive data collection and multi-user contexts. This paper investigates user perceptions of privacy concerns regarding both service providers and the multi-user use case in the context of smart TVs. Through in-depth interviews with 22 smart TV users, we found that participants expressed uncertainty about the data collection practices of smart TVs and a desire for clearer communication of such practices. Participants reported discomfort with how their personal information is handled through their smart TVs but felt forced to accept it due to the lack of ability to opt out. Our study also highlights varied privacy concerns when smart TVs are shared in public versus private settings. While participants expressed significantly less concern when sharing smart TVs with acquaintances in private settings, concerns were more prevalent in public settings like hotels and Airbnbs. Based on the findings, we provide recommendations for designers, policymakers, and researchers to improve privacy protection and user experience around smart TVs.
- 16 October 2025
- Published by Association for Computing Machinery (ACM) in Proceedings of the ACM on Human-Computer Interaction
- Vol. 9 (7) , 1-30
Open AccessUnderstanding User Privacy Concerns of Shared Smart TVs
As smart TVs gain popularity, they introduce significant privacy and security concerns due to their extensive data collection and multi-user contexts. This paper investigates user perceptions of privacy concerns regarding both service providers and the multi-user use case in the context of smart TVs. Through in-depth interviews with 22 smart TV users, we found that participants expressed uncertainty about the data collection practices of smart TVs and a desire for clearer communication of such practices. Participants reported discomfort with how their personal information is handled through their smart TVs but felt forced to accept it due to the lack of ability to opt out. Our study also highlights varied privacy concerns when smart TVs are shared in public versus private settings. While participants expressed significantly less concern when sharing smart TVs with acquaintances in private settings, concerns were more prevalent in public settings like hotels and Airbnbs. Based on the findings, we provide recommendations for designers, policymakers, and researchers to improve privacy protection and user experience around smart TVs.