"Is it always watching? Is it always listening?" Exploring Contextual Privacy and Security Concerns Toward Domestic Social Robots
Henry Bell, Jabari Kwesi, Hiba Laabadli, Pardis Emami-Naeini

TL;DR
This study explores U.S. users' privacy and security concerns regarding domestic social robots, emphasizing the need for transparency, controls, and reliable functionality to support safe adoption.
Contribution
It provides empirical insights into user concerns about social robots' privacy and security, informing design considerations for early-stage commercialization.
Findings
Users worry about data privacy, misinformation, and device reliability.
Participants desire tangible privacy controls and data collection indicators.
Concerns vary across educational and medical applications.
Abstract
Equipped with artificial intelligence (AI) and advanced sensing capabilities, social robots are gaining interest among consumers in the United States. These robots seem like a natural evolution of traditional smart home devices. However, their extensive data collection capabilities, anthropomorphic features, and capacity to interact with their environment make social robots a more significant security and privacy threat. Increased risks include data linkage, unauthorized data sharing, and the physical safety of users and their homes. It is critical to investigate U.S. users' security and privacy needs and concerns to guide the design of social robots while these devices are still in the early stages of commercialization in the U.S. market. Through 19 semi-structured interviews, we identified significant security and privacy concerns, highlighting the need for transparency, usability,…
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Taxonomy
TopicsPrivacy, Security, and Data Protection · Ethics and Social Impacts of AI · Hate Speech and Cyberbullying Detection
