Abstract
Geriatric depression (GD) entails unique challenges that result from the complex interplay of issues specific to either the aging or depressed, such as cognitive error and health anxiety. We conducted an interview study to assess issues encountered by depressed older adults in communication and perception of their conditions, and explore how personal tracking could mitigate such issues. Our results identify how patients? behavior and communication of their condition with others are impacted by their biases, informing how GD-specialized monitoring can be designed to facilitate recovery.
| Original language | English |
|---|---|
| Title of host publication | CSCW 2020 Companion - Conference Companion Publication of the 2020 Computer Supported Cooperative Work and Social Computing |
| Publisher | Association for Computing Machinery |
| Pages | 425-429 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450380591 |
| DOIs | |
| Publication status | Published - 2020 Oct 17 |
| Event | 3rd ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2020 Companion - Virtual, Online, United States Duration: 2020 Oct 17 → 2020 Oct 21 |
Publication series
| Name | Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW |
|---|
Conference
| Conference | 3rd ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2020 Companion |
|---|---|
| Country/Territory | United States |
| City | Virtual, Online |
| Period | 2020/10/17 → 2020/10/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Geriatric depression
- Health
- Older adults
- Personal informatics
ASJC Scopus subject areas
- Software
- Computer Networks and Communications
- Human-Computer Interaction
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