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Artificial intelligence (AI) and robotic coaches promise the improvedengagement of patients on rehabilitation exercises through social interaction.While previous work explored the potential of automatically monitoringexercises for AI and robotic coaches, the deployment of these systems remains achallenge. Previous work described the lack of involving stakeholders to designsuch functionalities as one of the major causes. In this paper, we present ourefforts on eliciting the detailed design specifications on how AI and roboticcoaches could interact with and guide patient's exercises in an effective andacceptable way with four therapists and five post-stroke survivors. Throughiterative questionnaires and interviews, we found that both post-strokesurvivors and therapists appreciated the potential benefits of AI and roboticcoaches to achieve more systematic management and improve their self-efficacyand motivation on rehabilitation therapy. In addition, our evaluation shedslight on several practical concerns (e.g. a possible difficulty with theinteraction for people with cognitive impairment, system failures, etc.). Wediscuss the value of early involvement of stakeholders and interactivetechniques that complement system failures, but also support a personalizedtherapy session for the better deployment of AI and robotic exercise coaches.

Enabling AI and Robotic Coaches for Physical Rehabilitation Therapy: Iterative Design and Evaluation with Therapists and Post-Stroke Survivors