Enabling AI and robotic coaches for physical rehabilitation therapy: Iterative design and evaluation with therapists and post-stroke survivors

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...

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Main Authors: LEE, Min Hun, SIEWIOREK, Daniel, SMAILAGIC, Asim, BERNARDINO, Alexandre, BADIA, Sergi Bermúdez i
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Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access:https://ink.library.smu.edu.sg/sis_research/7285
https://ink.library.smu.edu.sg/context/sis_research/article/8288/viewcontent/enabling_airobotics_coaches.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-82882024-12-18T01:46:48Z Enabling AI and robotic coaches for physical rehabilitation therapy: Iterative design and evaluation with therapists and post-stroke survivors LEE, Min Hun SIEWIOREK, Daniel SMAILAGIC, Asim BERNARDINO, Alexandre BADIA, Sergi Bermúdez i 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. 2024-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/7285 info:doi/10.1007/s12369-022-00883-0 https://ink.library.smu.edu.sg/context/sis_research/article/8288/viewcontent/enabling_airobotics_coaches.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Human-AI/Robot Interaction Socially Assistive Robotics Physical Stroke Rehabilitation Therapy User Studies/Experiences Artificial Intelligence and Robotics Health Information Technology
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Human-AI/Robot Interaction
Socially Assistive Robotics
Physical Stroke Rehabilitation Therapy
User Studies/Experiences
Artificial Intelligence and Robotics
Health Information Technology
spellingShingle Human-AI/Robot Interaction
Socially Assistive Robotics
Physical Stroke Rehabilitation Therapy
User Studies/Experiences
Artificial Intelligence and Robotics
Health Information Technology
LEE, Min Hun
SIEWIOREK, Daniel
SMAILAGIC, Asim
BERNARDINO, Alexandre
BADIA, Sergi Bermúdez i
Enabling AI and robotic coaches for physical rehabilitation therapy: Iterative design and evaluation with therapists and post-stroke survivors
description 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.
format text
author LEE, Min Hun
SIEWIOREK, Daniel
SMAILAGIC, Asim
BERNARDINO, Alexandre
BADIA, Sergi Bermúdez i
author_facet LEE, Min Hun
SIEWIOREK, Daniel
SMAILAGIC, Asim
BERNARDINO, Alexandre
BADIA, Sergi Bermúdez i
author_sort LEE, Min Hun
title Enabling AI and robotic coaches for physical rehabilitation therapy: Iterative design and evaluation with therapists and post-stroke survivors
title_short Enabling AI and robotic coaches for physical rehabilitation therapy: Iterative design and evaluation with therapists and post-stroke survivors
title_full Enabling AI and robotic coaches for physical rehabilitation therapy: Iterative design and evaluation with therapists and post-stroke survivors
title_fullStr Enabling AI and robotic coaches for physical rehabilitation therapy: Iterative design and evaluation with therapists and post-stroke survivors
title_full_unstemmed Enabling AI and robotic coaches for physical rehabilitation therapy: Iterative design and evaluation with therapists and post-stroke survivors
title_sort enabling ai and robotic coaches for physical rehabilitation therapy: iterative design and evaluation with therapists and post-stroke survivors
publisher Institutional Knowledge at Singapore Management University
publishDate 2024
url https://ink.library.smu.edu.sg/sis_research/7285
https://ink.library.smu.edu.sg/context/sis_research/article/8288/viewcontent/enabling_airobotics_coaches.pdf
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