Abstract
Previous research on reducing unwanted interruptions in hospital intensive care units (ICU) have focused on providing context-aware solutions that consider factors such as location and activity of the person receiving the interruption. We seek to broaden an understanding of how to manage interruptions by using the Locales Framework to analyze data collected from a field study on mobile notification interruptions in the ICU. Based on our data along with previous literature on cognitive theories, mental models, strategies for managing interruptions, and principles of human factors, we propose five guidelines to aid in designing mobile technology interventions for the ICU.
Original language | English |
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Title of host publication | CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems |
Pages | 4502-4508 |
Number of pages | 7 |
ISBN (Electronic) | 9781450333627 |
DOIs | |
State | Published - May 7 2016 |
Event | 34th Annual Conference on Human Factors in Computing Systems, CHI 2016 - San Jose, United States Duration: May 7 2016 → May 12 2016 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
Conference | 34th Annual Conference on Human Factors in Computing Systems, CHI 2016 |
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Country/Territory | United States |
City | San Jose |
Period | 5/7/16 → 5/12/16 |
Bibliographical note
Publisher Copyright:© 2016 ACM.
Keywords
- Clinical informatics
- Human-computer interaction
- Interruption
- Interruption management
- Locales
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design