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Updated: Jul 30, 2025
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Multi-Modal Home Sleep Monitoring in Older Adults
Published on: January 26, 2019
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Assessing a Sleep Interviewing Chatbot to Improve Subjective and Objective Sleep: Protocol for an Observational
Ting Su1,2,3, Rafael A Calvo2, Melanie Jouaiti1,3
1Department of Mechanical Engineering, Imperial College London, London, United Kingdom.
JMIR Research Protocols
|May 11, 2023
Summary
This study explored the feasibility of an automated chatbot, MotivSleep, to improve sleep in older adults. The chatbot provided personalized recommendations, showing potential for accessible sleep intervention.
Area of Science:
- Gerontology
- Neuroscience
- Digital Health
Background:
- Sleep disorders are prevalent in aging populations and individuals with neurodegenerative diseases, exhibiting a bidirectional relationship.
- Access to traditional sleep interventions can be challenging for older adults and those with neurodegenerative conditions.
- Automated chatbot platforms offer a potential solution to increase the accessibility of sleep disorder interventions.
Purpose of the Study:
- To determine the feasibility and usability of the MotivSleep chatbot for sleep behavior reporting and personalized recommendations.
- To assess changes in subjective sleep quality before, during, and after using the chatbot.
- To evaluate changes in objective sleep parameters measured by a sleep tracking device during chatbot use.
Main Methods:
- Recruited 30 older adults in West London for a pilot study.
- Utilized a contactless sleep analyzer to record objective sleep data (movements, heart rate, breathing rate).
- Participants interacted with the MotivSleep chatbot via WhatsApp for sleep reporting and received tailored recommendations.
Main Results:
- Hypothesized that participants would find the chatbot intelligent and trustworthy.
- Anticipated improvements in participants' subjective and objective sleep assessments.
- Data collection ran from May to December 2023.
Conclusions:
- The MotivSleep chatbot demonstrates potential for accessible and cost-effective sleep improvement support for older adults.
- Automated interventions can supplement traditional face-to-face therapy for sleep disorders.
- This approach may enhance care for aging populations and those with neurodegenerative diseases.
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