Privacy considerations when designing social network systems to support successful ageing

Andrew R. McNeill; Lynne Coventry; Jake Pywell; Pam Briggs

doi:10.1145/3025453.3025861

Privacy considerations when designing social network systems to support successful ageing

Andrew R. McNeill, Lynne Coventry, Jake Pywell, Pam Briggs

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

33 Citations (Scopus)

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
Title of host publication	CHI '17
Subtitle of host publication	proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Place of Publication	New York
Publisher	Association for Computing Machinery, Inc
Pages	6425-6437
Number of pages	13
ISBN (Electronic)	9781450346559
DOIs	https://doi.org/10.1145/3025453.3025861
Publication status	Published - 2 May 2017
Externally published	Yes
Event	35th Annual CHI Conference on Human Factors in Computing Systems: Explore, Innovate, Inspire - Denver, United States Duration: 6 May 2017 → 11 May 2017 Conference number: 35th https://chi2017.acm.org/index.html

Conference

Conference	35th Annual CHI Conference on Human Factors in Computing Systems
Abbreviated title	ACM CHI 2017
Country/Territory	United States
City	Denver
Period	6/05/17 → 11/05/17
Internet address	https://chi2017.acm.org/index.html

Keywords

Trust
Social networks
Health
Older adults
Privacy

Access to Document

10.1145/3025453.3025861

Cite this

@inproceedings{82075063b8e648d78ffbe1b3a8eaf9bf,

title = "Privacy considerations when designing social network systems to support successful ageing",

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.",

author = "McNeill, \{Andrew R.\} and Lynne Coventry and Jake Pywell and Pam Briggs",

note = "Funding Information: This project was funded by the European Union{\textquoteright}s Horizon 2020 research and innovation programme under grant agreement No 643644 (ACANTO: A CyberphysicAL social NeTwOrk using robot friends). Publisher Copyright: {\textcopyright} 2017 ACM.; 35th Annual CHI Conference on Human Factors in Computing Systems : Explore, Innovate, Inspire, ACM CHI 2017 ; Conference date: 06-05-2017 Through 11-05-2017",

year = "2017",

month = may,

day = "2",

doi = "10.1145/3025453.3025861",

language = "English",

pages = "6425--6437",

booktitle = "CHI '17",

publisher = "Association for Computing Machinery, Inc",

url = "https://chi2017.acm.org/index.html",

}

McNeill, AR, Coventry, L, Pywell, J & Briggs, P 2017, Privacy considerations when designing social network systems to support successful ageing. in CHI '17: proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, Inc, New York, pp. 6425-6437, 35th Annual CHI Conference on Human Factors in Computing Systems, Denver, Colorado, United States, 6/05/17. https://doi.org/10.1145/3025453.3025861

Privacy considerations when designing social network systems to support successful ageing. / McNeill, Andrew R.; Coventry, Lynne; Pywell, Jake et al.
CHI '17: proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery, Inc, 2017. p. 6425-6437.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Privacy considerations when designing social network systems to support successful ageing

AU - McNeill, Andrew R.

AU - Coventry, Lynne

AU - Pywell, Jake

AU - Briggs, Pam

N1 - Conference code: 35th

PY - 2017/5/2

Y1 - 2017/5/2

N2 - 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.

AB - 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.

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DO - 10.1145/3025453.3025861

M3 - Conference contribution

AN - SCOPUS:85022347712

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BT - CHI '17

PB - Association for Computing Machinery, Inc

CY - New York

T2 - 35th Annual CHI Conference on Human Factors in Computing Systems

Y2 - 6 May 2017 through 11 May 2017

ER -

Privacy considerations when designing social network systems to support successful ageing

Abstract

Conference

Keywords

Access to Document

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Cite this