探究家用社交机器人在隐私与安全上的潜在风险及用户期待。
"Is it always watching? Is it always listening?" Exploring Contextual Privacy and Security Concerns Toward Domestic Social Robots
- 通过访谈发现用户对数据收集和推断有强烈担忧。
- 用户要求可见的隐私控制与实时数据收集指示。
- 教育医疗场景下特别关注信息可靠性与数据安全。
具备人工智能和先进传感功能的社交机器人在美国消费者中日益受欢迎，其外观拟人化、环境交互能力强，带来比传统智能设备更大的隐私与安全威胁。研究发现，数据关联、未经授权的数据共享以及用户人身与家庭安全风险显著增加。通过对19名用户的半结构化访谈，识别出关键安全隐私关切，强调透明性、可用性和强大隐私控制的重要性。教育场景下用户最担心虚假信息，医疗应用中则关注设备可靠性。用户还担忧机器人可能进行数据推断。研究建议应提供可感知的隐私控制、数据收集状态指示及情境适配功能，以推动设备采纳。
原文摘要 · Abstract (English)
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, and robust privacy controls to support adoption. For educational applications, participants worried most about misinformation, and in medical use cases, they worried about the reliability of these devices. Participants were also concerned with the data inference that social robots could enable. We found that participants expect tangible privacy controls, indicators of data collection, and context-appropriate functionality.
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