research-article

Go&Grow: An Evaluation of a Pervasive Social Exergame for Caregivers of Loved Ones with Dementia

Authors:

Herman Saksono,

Elizabeth Stowell,

Margie E. Lachman,

Carmen Castaneda-Sceppa,

Andrea G. ParkerAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 4, Issue CSCW2

Article No.: 151, Pages 1 - 28

https://doi.org/10.1145/3415222

Published: 15 October 2020 Publication History

Abstract

Caregivers of persons with dementia (PWD) experience higher rates of stress, social isolation, and poor mental and physical health compared to non-caregiving populations. There is a vital need for engaging, sustainable, and scalable resources to support social, physical, and emotional wellbeing amongst caregivers of PWD. To explore this open design space, we designed and conducted a 6-week mixed-method evaluation of Go&Grow, a pervasive social exergame in which flowers grow as users increase physical activity and interact with other caregivers of PWD. Our findings showed that using Go&Grow helped participants relieve stress, increase physical activity, and develop empathy for and patience towards the loved one with dementia that they cared for. At the same time, tension arose as some caregivers desired to learn about the life challenges that Go&Grow users faced, while others hesitated to share such content. We discuss our findings and recommendations for future technology that promotes caregivers? time for themselves, understanding of PWD, and connections with other caregivers.

Supplementary Material

ZIP File (v4cscw151aux.zip)

The supplementary consists of: Surveys completed by participants throughout the study period An interview guide we used to ask participants for their game experiences

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Index Terms

Go&Grow: An Evaluation of a Pervasive Social Exergame for Caregivers of Loved Ones with Dementia
1. Human-centered computing
  1. Collaborative and social computing
    1. Empirical studies in collaborative and social computing
  2. Human computer interaction (HCI)
    1. Empirical studies in HCI

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 4, Issue CSCW2

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October 2020

2310 pages

EISSN:2573-0142

DOI:10.1145/3430143

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Published: 15 October 2020

Published in PACMHCI Volume 4, Issue CSCW2

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https://doi.org/10.2196/60566
Genç UVerma H(2024)Situating Empathy in HCI/CSCW: A Scoping ReviewProceedings of the ACM on Human-Computer Interaction10.1145/36870528:CSCW2(1-37)Online publication date: 8-Nov-2024
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Zeng JZhang GYuan JLi YJin D(2024)Empowering Predictive Modeling by GAN-based Causal Information LearningACM Transactions on Intelligent Systems and Technology10.1145/3652610Online publication date: 20-Mar-2024
https://dl.acm.org/doi/10.1145/3652610
Wang LSmriti DYuan HHuh-Yoo J(2024)Artificial Intelligence Systems for Supporting Informal Caregivers of People Living with Alzheimer's Disease or Related Dementias: A Systematic ReviewExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650846(1-11)Online publication date: 11-May-2024
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Lin XMoxley JCzaja S(2023)Caring for Dementia Caregivers: Psychosocial Factors Related to Engagement in Self-Care ActivitiesBehavioral Sciences10.3390/bs1310085113:10(851)Online publication date: 18-Oct-2023
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Yuan RZhang SYang XQiu SHan THu J(2023)A Review of Prototyping and Evaluating Approaches for Social Exergames Targeting Older AdultsProceedings of the Eleventh International Symposium of Chinese CHI10.1145/3629606.3629621(146-157)Online publication date: 13-Nov-2023
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