Using a Logic Model to Explore Seniors’ Interactions with a Coaching Robot

Bindel, Michelle; Schwaiger, Markus; Ammenwerth, Elske; Schneider, Cornelia

doi:10.3233/SHTI250177

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.