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Enabling Personalization for Digital Cognitive Stimulation to Support Communication With People With Dementia: Pilot

Nick Hird¹, Tohmi Osaki², Samik Ghosh³

¹Aikomi Ltd Co, Yokohama, Kanagawa, Japan.

JMIR Formative Research

|January 16, 2024

Summary

The Aikomi digital application shows promise for enhancing communication and engagement in people with dementia. Its personalized cognitive stimulation and data capture capabilities support AI development for easier caregiver use.

Keywords:

AI artificial intelligence cognitive stimulation communication dementia digital technology engagement

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Area of Science:

Gerontology
Human-Computer Interaction
Artificial Intelligence in Healthcare

Background:

Effective communication and engagement are critical challenges in dementia care.
Digital cognitive stimulation tools exist but lack personalization for routine use.
Artificial intelligence (AI) can automate personalization but requires suitable data, which is currently lacking.

Purpose of the Study:

To evaluate the Aikomi digital application for personalized cognitive stimulation in Japanese care homes.
To assess Aikomi's potential to improve communication and engagement between people with dementia and care staff.
To determine if Aikomi captures data suitable for AI system development.

Main Methods:

A modular platform created personalized programs for 15 individuals with dementia in 4 Japanese care facilities.
Interventions involved people with dementia and care staff, with optional smell stimulation.
Sessions were video-recorded, and personalized data were analyzed.

Main Results:

67% of participants showed high engagement; no negative reactions were reported.
Care staff observed extended concentration and spontaneous communication in some participants.
Personalized data revealed varied responses to content, enabling correlation analysis.

Conclusions:

The Aikomi application is acceptable and may enhance communication and engagement for people with dementia.
The platform successfully captures personalized data suitable for machine learning.
Further research will focus on developing AI systems for user-friendly digital cognitive stimulation.