The quantified older adult as design requirements for accessible wellbeing interventions

Mia Campbell, Andrew McNeill, Lynne Coventry

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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In this paper we describe how we engaged a group of healthy older adults in lifelogging and how we used their data to help design a healthy-aging intervention. 35 participants (mean age = 73.6, age range 59-88, Men=15, Women = 20) were tracked longitudinally for 18 months. Participants provided data at three time points. This involved the use of activity trackers, GPS trackers, and paper diaries. A number of well-established psychometric scales were also administered to gather standardised measures of health and wellbeing. While the data provides insight into the relationship between physical and social activity with regards to wellbeing, we aim to show that the nature of these relationships provide insight into how to design effective healthy-living interventions for older adults. By using the better predictors of wellbeing, we can target change in specific areas and assess change in those areas. While our sample is of relatively high-functioning older adults, we argue that understanding how they maintain wellbeing allows us to understand how to promote wellbeing amongst more inactive and frail older adults. Results showed the importance of specific types of social involvement such as meeting activity-group members and we propose that recommender systems should target these more important predictors of well-being.
Original languageEnglish
Title of host publicationThe 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments PETRA 2019
Number of pages10
ISBN (Electronic)9781450362320
Publication statusPublished - 5 Jun 2019
EventPervasive Technologies Related to Assistive Environments Conference 2019 - Rhodes, Greece
Duration: 5 Jun 20197 Jun 2019


ConferencePervasive Technologies Related to Assistive Environments Conference 2019
Abbreviated titlePETRA'19
Internet address


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