Introduction: Artificial intelligence (AI) is increasingly transforming healthcare, however, the interaction between the user, AI, and the user’s environment is poorly understood. To elucidate this interplay and support the delivery of compassionate remote care in Occupational Therapy (OT) practice, we created a self-administered remote AI-powered cognitive assessment, facilitated using the Wizard of Oz method, and measured the experiences of patients, controls, caregivers, and healthcare providers. The Wizard of Oz method uses human-computer interaction (HCI) and user experience (UX) research to simulate the functionality of a system before it is fully developed by creating the illusion of a functioning system by having a human behind the scenes, controlling the system's responses. Research Questions: 1. How are AI-assisted cognitive assessments experienced by patients, caregivers, healthcare providers, and controls? 2. How can we maintain compassionate care while incorporating technology into healthcare? 3. What are the concerns of healthcare providers using chatbots to administer cognitive assessments? Methods: 6 participants with progressive cognitive decline, 6 healthy controls, 6 caregivers, and 6 healthcare providers were invited to complete a virtual AI-powered cognitive assessment followed by a survey about their experience and other demographical information. Survey questions were separated into 4 scales: Trust, Compassion, Usability, and Care Experience. Results: No statistically significant difference in mean survey scores between participant categories was observed. Factors such as sex, device type, chatbot familiarity, and education had no statistically significant effects. Participants scored statistically significantly lower on the scale Trust (8.09) than on Compassion (8.72). Additionally, those who used the chatbot during the assessment scored statistically significantly lower on the Usability scale compared to those who did not (7.33 vs. 9.20). Conclusion: The findings help to evaluate user experience with virtual AI-based cognitive assessments and provide insights that can inform important design characteristics to improve user experience and compassionate care delivery.

The authors have declared no competing interest.

This study was funded by AMS Healthcare.

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University of British Columbia Ethics Board gave ethical approval for this work.

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