Tu Le (University of California, Irvine), Zixin Wang (Zhejiang University), Danny Yuxing Huang (New York University), Yaxing Yao (Virginia Tech), Yuan Tian (University of California, Los Angeles)

Voice-controlled devices or their software component, known as voice personal assistant (VPA), offer technological advancements that improve user experience. However, they come with privacy concerns such as unintended recording of the user’s private conversations. This data could potentially be stolen by adversaries or shared with third parties. Therefore, users need to be aware of these and other similar potential privacy risks presented by VPAs. In this paper, we first study how VPA users monitor their voice interaction recorded by their VPAs and their expectations via an online survey of 100 users. We find that even though users were aware of the VPAs holding recordings of them, they initially thought reviewing the recordings was unnecessary. However, they were surprised that there were unintended recordings and that they could review the recordings. When presented with what types of unintended recordings might happen, more users wanted the option to review their interaction history. This indicates the importance of data transparency. We then build a browser extension that helps users monitor their voice interaction history and notifies users of unintended conversations recorded by their voice assistants. Our tool experiments with notifications using smart light devices in addition to the traditional push notification approach. With our tool, we then interview 10 users to evaluate the usability and further understand users’ perceptions of such unintended recordings. Our results show that unintended recordings could be common in the wild and there is a need for a tool to help manage the voice interaction recordings with VPAs. Smart light notification is potentially a useful mechanism that should be adopted in addition to the traditional push notification.

View More Papers

A Duty to Forget, a Right to be Assured?...

Hongsheng Hu (CSIRO's Data61), Shuo Wang (CSIRO's Data61), Jiamin Chang (University of New South Wales), Haonan Zhong (University of New South Wales), Ruoxi Sun (CSIRO's Data61), Shuang Hao (University of Texas at Dallas), Haojin Zhu (Shanghai Jiao Tong University), Minhui Xue (CSIRO's Data61)

Read More

Case Study – Exploring Children’s Password Knowledge and Practices

Yee-Yin Choong, Mary Theofanos (NIST); Karen Renaud, Suzanne Prior (Abertay University)

Read More

Experimental Analyses of the Physical Surveillance Risks in Client-Side...

Ashish Hooda (University of Wisconsin-Madison), Andrey Labunets (UC San Diego), Tadayoshi Kohno (University of Washington), Earlence Fernandes (UC San Diego)

Read More

Scrappy: SeCure Rate Assuring Protocol with PrivacY

Kosei Akama (Keio University), Yoshimichi Nakatsuka (ETH Zurich), Masaaki Sato (Tokai University), Keisuke Uehara (Keio University)

Read More