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Abstract
Background:
The use of Logic Models provides a structured approach to understanding and visualizing the impact of interventions in complex systems, such as Ambient or Active Assisted Living (AAL).
Objectives:
To apply a Logic Model to represent and categorise findings from a study on using a robo-coach for training younger seniors in an AAL app.
Methods:
A Logic Model was developed to represent the effects that were observed in the interaction between 34 younger seniors and the robo-coach, focusing on how the training impacted their perceptions on the robo-coach.
Results:
The Logic Model maps how specific training activities directly enhance user confidence, shaping perceptions of the robo-coach’s usability and role in AAL adoption.
Conclusion:
The Logic Model proved to be an effective tool for retroactively analyzing the impact of the robo-coach intervention.
The use of Logic Models provides a structured approach to understanding and visualizing the impact of interventions in complex systems, such as Ambient or Active Assisted Living (AAL).
Objectives:
To apply a Logic Model to represent and categorise findings from a study on using a robo-coach for training younger seniors in an AAL app.
Methods:
A Logic Model was developed to represent the effects that were observed in the interaction between 34 younger seniors and the robo-coach, focusing on how the training impacted their perceptions on the robo-coach.
Results:
The Logic Model maps how specific training activities directly enhance user confidence, shaping perceptions of the robo-coach’s usability and role in AAL adoption.
Conclusion:
The Logic Model proved to be an effective tool for retroactively analyzing the impact of the robo-coach intervention.
| Originalsprache | Englisch |
|---|---|
| Titel | Proceedings of the 19th Health Informatics Meets Digital Health Conference |
| Redakteure/-innen | Martin Baumgartner, Dieter Hayn, Bernhard Pfeifer, Günter Schreier |
| Herausgeber (Verlag) | IOS Press BV |
| Seiten | 150-151 |
| Seitenumfang | 2 |
| ISBN (elektronisch) | 978-1-64368-592-2 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 2025 |
| Veranstaltung | dHealth 2025: Health Informatics Meets Digital Health Conference - Schönbrunn, Wien, Österreich Dauer: 6 Mai 2025 → 7 Mai 2025 https://dhealth.at/ |
Konferenz
| Konferenz | dHealth 2025 |
|---|---|
| Land/Gebiet | Österreich |
| Ort | Wien |
| Zeitraum | 6/05/25 → 7/05/25 |
| Internetadresse |
Forschungsbereiche
- 02 Digitale Transformation
- 03 Health, Care & Well-being
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AgeWell
Krebs, B. (Weitere Forschende), Schneider, C. (Leitende(r) Forscher/-in), Radits, M. (Weitere Forschende), Woltron, T. (Weitere Forschende), Igerc, I. E. (Weitere Forschende), Schwammer, S. (Weitere Forschende), Hacker, M. (Weitere Forschende), Safar, M. (Weitere Forschende), Kolmann, P. (Weitere Forschende), Rameder, P. (Weitere Forschende) & Rudel, B. (Weitere Forschende)
1/09/19 → 31/01/22
Projekt: Forschung