| Autor: |
Andreas Seiderer, Elisabeth André, Thomas Rist, Marcus Mayr, Stephan Hammer |
| Rok vydání: |
2015 |
| Předmět: |
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| Zdroj: |
PervasiveHealth |
| DOI: |
10.4108/icst.pervasivehealth.2015.259255 |
| Popis: |
This contribution addresses the development of technology for the elderly with the aim to improve their general well-being. We report work on a prototype system named CARE that combines the functionality of a digital image frame with an active recommender mode. Recommendations are chosen on the basis of context information acquired by sensors embedded in the user's environment, and a well-being model to carefully decide on at which point in time what kind of activity is most suitable to suggest. We describe conception and implementation of a first CARE prototype that we used for in-situ testing in a senior's home, as well as for gathering feedback on system usage and user appreciation. The paper concludes with some lessons learned from analyzing log file data of the trial period and from conducting a post-trial interview. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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