Publication Type

Journal Article

Version

acceptedVersion

Publication Date

7-2022

Abstract

Artificial intelligence (AI) and robotic coaches promise the improved engagement of patients on rehabilitation exercises through social interaction. While previous work explored the potential of automatically monitoring exercises for AI and robotic coaches, the deployment of these systems remains a challenge. Previous work described the lack of involving stakeholders to design such functionalities as one of the major causes. In this paper, we present our efforts on eliciting the detailed design specifications on how AI and robotic coaches could interact with and guide patient’s exercises in an effective and acceptable way with four therapists and five post-stroke survivors. Through iterative questionnaires and interviews, we found that both post-stroke survivors and therapists appreciated the potential benefits of AI and robotic coaches to achieve more systematic management and improve their self-efficacy and motivation on rehabilitation therapy. In addition, our evaluation sheds light on several practical concerns (e.g. a possible difficulty with the interaction for people with cognitive impairment, system failures, etc.). We discuss the value of early involvement of stakeholders and interactive techniques that complement system failures, but also support a personalized therapy session for the better deployment of AI and robotic exercise coaches.

Keywords

Human-AI/Robot Interaction, Socially Assistive Robotics, Physical Stroke Rehabilitation Therapy, User Studies/Experiences

Discipline

Artificial Intelligence and Robotics | Health Information Technology

Research Areas

Intelligent Systems and Optimization

Publication

International Journal of Social Robotics

First Page

1

Last Page

22

ISSN

1875-4791

Identifier

10.1007/s12369-022-00883-0

Publisher

Springer Verlag (Germany)

Additional URL

http://doi.org/10.1007/s12369-022-00883-0

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