E-privacy in 2nd generation E-commerce: privacy preferences versus actual behavior
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Aware Technologies for Aging in Place: Understanding User Needs and Attitudes
IEEE Pervasive Computing
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End-user privacy in human-computer interaction
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Findings from a participatory evaluation of a smart home application for older adults
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Assistive robotics and an ecology of elders living independently in their homes
Human-Computer Interaction
Computers in Human Behavior
Mobile remote presence systems for older adults: acceptance, benefits, and concerns
Proceedings of the 6th international conference on Human-robot interaction
Understanding users' perception of privacy in human-robot interaction
Proceedings of the 6th international conference on Human-robot interaction
Audience visualization influences disclosures in online social networks
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Granny and the robots: ethical issues in robot care for the elderly
Ethics and Information Technology
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Cognitive Systems Research
Making technology homey: finding sources of satisfaction and meaning in home automation
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
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This paper describes the results of an experimental study in which older adult participants interacted with three monitoring technologies designed to support their ability to age in place in their own home - a camera, a stationary robot, and a mobile robot. The aim of our study was to evaluate users' perceptions of privacy and their tendencies to engage in privacy enhancing behaviors (PEBs) by comparing the three conditions. We found that privacy concerns lead older adults to change their behavior in a home environment while being monitored by cameras or embodied robots. We expected participants to engage in more PEBs when they interacted with a mobile robot, which provided embodied cues of ongoing monitoring; surprisingly, we found the opposite to be true - the camera was the condition in which participants performed more PEBs. We describe the results of quantitative and qualitative analyses of our survey, interview, and observational data and discuss the implications of our study for human-robot interaction, the study of privacy and technology, and the design of assistive robots for monitoring older adults.