Beyond self-monitoring: understanding non-functional aspects of home-based healthcare technology
Open accessAbstract
Monitoring of health parameters in non-clinical settings is one strategy to address the increasingly aging population and age-related disabilities and diseases. However, challenges exist when introducing self-monitoring activities in people's everyday life. An active lifestyle can challenge the appropriation of healthcare technologies and people with comorbidity may have diverse but co-existing monitoring needs. In this paper, we seek to understand home-based health monitoring practices to better design and integrate them into people's everyday life. We perform an analysis of socio-technical complexities in home-based healthcare technologies through three case studies of self-monitoring: 1) pre-eclampsia (i.e. pregnancy poisoning), 2) heart conditions, and 3) preventive care. Through the analysis seven themes emerged (people, resources, places, routines, knowledge, control and motivation) that can facilitate the understanding of home-based healthcare activities. We present three modes of self-monitoring use and provide a set of design recommendations for future Ubicomp designs of home-based healthcare technology.
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There has been a wide range of research on risk prediction in healthcare.
“There has been a wide range of research on risk prediction in healthcare (e.g., [42,63,86]).”
From Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults (2024) · cites this paper as [42]
The Introduction and Related Work discuss preventive care and home-based self-monitoring, but do not address research on healthcare risk prediction. Searches for “risk prediction in healthcare” and predictive models or risk assessment found no passage establishing the claimed range of research. The indexed passages provide section labels but no page numbers. (LLM, conf=0.73)
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Cites
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“Our findings show that a person can gain an “internal health locus of control” [29] not only through reflective thinking [20] but also if the system allows some flexibility in when, where and how measurements should be performed.”
BackgroundInfluentialHealth monitoring in the home of the future
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“Previous work shows the importance of some of these themes in the home setting (see Related Work [4, 5, 8, 11-13, 23, 31]).”
BackgroundInfluentialSelf-citationTake it personally: accounting for individual difference in designing diabetes management systems
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Cited by
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Yang, Z., Xu, X., Yao, B., Rogers, E., Zhang, S., Intille, S., Shara, N., Gao, G. G., & Wang, D. (2024) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3659625 · Cited by 120 · see citing works
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Self-citation
- Authors
- Grönvall, E., & Verdezoto, N.
- Affiliations
- Aarhus University (DK)
- Venue
- Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
- Publisher
- ACM
- Published
- 2013-09-08
- Pages
- 587-596
- OpenAlex
- W2123508139
- Cited by
- 108
- References
- 6
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 4 · 2023: 6 · 2022: 6 · 2021: 11 · 2020: 11 · 2019: 12 · 2018: 5 · 2017: 13 · 2016: 10 · 2015: 13 · 2014: 10
- FWCI
- 8.69
- Type
- conference paper
- Language
- en
- Open access
- green
- dl.acm.org
- Locations
- ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Demography › Technology Use by Older Adults
- Keywords
- self-monitoring, home health monitoring, ubiquitous computing, socio-technical analysis, preeclampsia, cardiac conditions, preventive medicine, population aging, comorbidities, design guidelines
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