Constructing identities through storytelling in diabetes management
Abstract
The continuing epidemics of diabetes and obesity create much need for information technologies that can help individuals engage in proactive health management. Yet many of these technologies focus on such pragmatic issues as collecting and presenting health information and modifying individuals' behavior. At the same time, researchers in clinical community argue that individuals' perception of their identity has dramatic consequences for their health behaviors. In this paper we discuss results of a deployment study of a mobile health monitoring application. We show how individuals with considerable diabetes experience found a unique way to adopt this health-monitoring application to construct and negotiate their identities as persons with a chronic disease. We argue that viewing health management from identity construction perspective opens new opportunities for research and design in technologies for health.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The second MAHI deployment study confirmed that MAHI was also well accepted by people with more extensive diabetes experience as a tool for identity construction through storytelling.
“However, their second deployment study [60] confirmed that MAHI was also well accepted by people with more extensive diabetes experience as a tool for identity construction through storytelling.”
From Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes (2013) · cites this paper as [60]
The citation lists haven’t been fetched yet
References 46 · Cited by 81
- Authors
- Mamykina, L., Miller, A. D., Mynatt, E. D., & Greenblatt, D.
- Affiliations
- Columbia University (US)
- Georgia Institute of Technology (US)
- SMART Technologies, Calgary, Canada
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2010-04-10
- Pages
- 1203-1212
- OpenAlex
- W1974878083
- Semantic Scholar
- 2787374e4c6134f66dcf20a1f7fb42a28bfa8f6f
- Cited by
- 81
- References
- 46
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 5 · 2023: 3 · 2022: 5 · 2021: 3 · 2020: 4 · 2019: 5 · 2018: 5 · 2017: 8 · 2016: 6 · 2015: 6 · 2014: 5 · 2013: 7 · 2012: 4
- FWCI
- 35.06
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Keywords
- diabetes management, identity construction, storytelling, mobile health monitoring, chronic disease, health behavior, technology adoption, health information technology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review