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Real-Time Digital Feedback for Exercise Therapy of Lower Extremity Functional Deficits: A Mixed Methods Study of User Requirements
Klaus Widhalm, Lukas Maul, Sebastian Durstberger, Carissa Klupper, Peter Putz
108 - 114
10.3233/SHTI230021
Research Article
Studies in Health Technology and Informatics
Volume 301: dHealth 2023
Abstract

Background:

Relearning physiological movement patterns is a key factor to success in the treatment of functional deficits. Motivation to train sustainably is essential for successful motor re-education and can be promoted by instrumentally supported real-time feedback.

Objectives:

Study findings should improve the understanding of real-time feedback visualization for exercises targeting the lower extremities.

Methods:

A mixed-methods survey on recognition, comprehensibility, color scheme and shape of six real-time feedback prototype visualizations was conducted among three user groups (physicians, physiotherapists, and patients).

Results:

The mean correct recognition of body regions visualized in the feedback was 55 %, ranging from 29 % to 74 %. Comprehensibility, color scheme and shape were best received for feedback with clear visual guidance, sympathetic and motivating color schemes and abstract visualizations of body regions.

Conclusion:

Insights were gathered for the design, optimization, and customization of visualizations to develop a real-time feedback prototype.

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