핵심 개념
The author explores how privacy perceptions of IoT sensors are influenced by factors beyond human interpretability, such as data inferences and user familiarity, challenging existing notions. The study emphasizes the importance of considering multiple factors in shaping user privacy perceptions.
초록
The study delves into the evolving landscape of IoT sensor privacy, highlighting that user perceptions are not solely based on human-interpretable data but also on inferences drawn from the data. Factors like device appearance, familiarity, and control significantly impact user comfort with sensor deployment. The research underscores the need for manufacturers to enhance disclosure processes by incorporating key insights to guide privacy decisions effectively.
Key findings include:
Data interpretability and inferences significantly influence privacy perceptions.
Physical appearance and user familiarity play crucial roles in shaping privacy views.
Empowering users with control over device design and data policies enhances trust and adoption rates.
The qualitative analysis reveals that concerns about unauthorized data access, discomfort with sensing devices, and lack of perceived utility influence negative sentiments towards sensor deployment. In contrast, positive sentiments stem from perceived utility, control over device design, and knowledge of device operations.
Limitations include reliance on presented images rather than immersive experiences and potential variations in privacy perceptions across different environments. Recommendations emphasize avoiding assumptions about privacy perceptions, considering machine-derived inferences in the ML era, enhancing transparency through disclosure mechanisms, and empowering users with control over device configurations.
통계
162 respondents completed the survey.
58% identified as male; 39.5% identified as female.
10.5% considered themselves experts; 58% considered themselves technically savvy.
Negative responses highlighted concerns about unauthorized data access (26.5%), discomfort with sensing (18.5%), lack of use case (1.85%).
인용구
"All systems are hackable... Privacy does not exist in this world."
"It would still feel like there is something watching me..."
"I don’t like cameras in my bedroom..."