Abstract
In this study, we conducted a field study involving patients and healthcare workers in an acute psychiatric unit with the aim of identifying the reasons for inconsistencies among measurements of sleep/awake patterns, the observations of nurses, and the reports of patients. After identifying the reasons for the inconsistencies, we designed an interactive caring system that merges multiple data sources to present a unified view of sleep/awake patterns. In so doing, we were able to leverage observations from nurses and the reports of patients to resolve prior inconsistencies.
Original language | English |
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Title of host publication | DIS 2018 - Companion Publication of the 2018 Designing Interactive Systems Conference |
Place of Publication | New York |
Publisher | Association for Computing Machinery, Inc |
Pages | 27-31 |
Number of pages | 5 |
ISBN (Print) | 9781450356312 |
DOIs | |
Publication status | Published - 30 May 2018 |
Event | 2018 Designing Interactive Systems Conference, (DIS2018) - Hong Kong, Hong Kong Duration: 9 Jun 2018 → 13 Jun 2018 |
Conference
Conference | 2018 Designing Interactive Systems Conference, (DIS2018) |
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Abbreviated title | DIS2018 |
Country/Territory | Hong Kong |
City | Hong Kong |
Period | 9/06/18 → 13/06/18 |
Keywords
- Acute psychiatric nursing
- Wrist-worn tracker