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Using a Logic Model to Explore Seniors' Interactions with a Coaching Robot
Michelle Bindel1, Markus Schwaiger1, Elske Ammenwerth1
1Institute of Medical Informatics, UMIT TIROL - Private University for Health Sciences and Health Technology, Hall in Tirol, Austria.
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.
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