Abstract
We conduct a study to determine when best to provide reminders by recognizing the interruption relations that occur in human behaviors. A model based on Petri Net to describe the execution of multiple activities is proposed. This approach aids the automatic analysis of activity interruption and supports adaptive prompting. We describe our experience in building a medication system that provides context-aware reminders for elder adults to take their medication. Experimental results show that our system can improve users' medication adherence in an efficient and flexible way.
| Original language | English |
|---|---|
| Title of host publication | 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010 |
| Publisher | IEEE Computer Society |
| Pages | 328-333 |
| Number of pages | 6 |
| ISBN (Print) | 9781424466054 |
| DOIs | |
| State | Published - 2010 |
| Event | 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010 - Mannheim, Germany Duration: 29 Mar 2010 → 2 Apr 2010 |
Publication series
| Name | 2010 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010 |
|---|
Conference
| Conference | 8th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2010 |
|---|---|
| Country/Territory | Germany |
| City | Mannheim |
| Period | 29/03/10 → 2/04/10 |
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
- Adaptive prompting
- Medication
- Petri Net
- Ubiquitous computing
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