Abstract
A number of interventions exist to support older adults in ageing well and these typically involve support for an active and sociable ageing process. We set out to examine the privacy implications of an intervention that would monitor mobility and share lifestyle and health data with a community of trusted others. We took a privacy-by-design approach to the system in the early stages of its development, working with older adults to firstly understand their networks of trust and secondly understand their privacy concerns should information be exchanged across that network. We used a Johari Windows framework in the thematic analysis of our data, concluding that the social sharing of information in later life carried significant risk. Our participants worried about the social signaling associated with data sharing and were cautious about a system that had the potential to disrupt established networks.
Original language | English |
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Title of host publication | CHI '17: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems |
Publisher | Association for Computing Machinery |
Pages | 6425-6437 |
Number of pages | 13 |
ISBN (Electronic) | 9781450346559 |
DOIs | |
Publication status | Published - 02 May 2017 |
Externally published | Yes |
Event | 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017 - Denver, United States Duration: 06 May 2017 → 11 May 2017 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Volume | 2017-May |
Conference
Conference | 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017 |
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Country/Territory | United States |
City | Denver |
Period | 06/05/2017 → 11/05/2017 |
Bibliographical note
Publisher Copyright:© 2017 ACM.
Keywords
- Health
- Older adults
- Privacy
- Social networks
- Trust
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design