Contextual design: defining customer-centered systems
Contextual design: defining customer-centered systems
The effects of filtered video on awareness and privacy
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Unpacking "privacy" for a networked world
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Privacy by Design - Principles of Privacy-Aware Ubiquitous Systems
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
Who wants to know what when? privacy preference determinants in ubiquitous computing
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Location disclosure to social relations: why, when, & what people want to share
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The watcher and the watched: social judgments about privacy in a public place
Human-Computer Interaction
Experience, adjustment, and engagement: the role of video in law enforcement
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Understanding Recording Technologies in Everyday Life
IEEE Pervasive Computing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Examining technology that supports community policing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An operating system for the home
NSDI'12 Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation
Bolt: data management for connected homes
NSDI'14 Proceedings of the 11th USENIX Conference on Networked Systems Design and Implementation
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In a neighborhood watch group, neighbors cooperate to prevent crime by sharing information and alerting police of suspicious activities. We propose a digital neighborhood watch (DNW) in which security cameras of individual homes work together to monitor the neighborhood. DNW could augment neighborhood watch by providing digital evidence of crime, increasing visibility of neighborhood activity, and automatically sending alerts when suspicious events occur. We investigate the appeal of sharing camera data with neighbors through semi-structured interviews with 11 households. Our participants validated the potential of sharing data with neighbors, particularly to provide evidence after an incident. But they also had security and privacy concerns about divulging their cameras' field of view and giving ongoing access to neighbors. For some participants, these concerns can be alleviated by enabling sharing of processed cameras views that include only the fore-ground activity or only public property (e.g., sidewalks).