LLM-Driven Daily Conversation for Cognitive Health in Older Adults

Summary

This study will develop and test a daily conversation platform that uses a large language model, a type of artificial intelligence, to support cognitive health in older adults at high risk of dementia.

The platform will guide participants through voice-based conversations about topics that interest them. The conversations are designed to engage memory, attention, language, planning and problem-solving, and the ability to understand social situations. The platform will also analyze conversation data and create a report describing the participant's cognitive performance.

The study has two stages. In the first stage, 15 participants will test the platform through two 20-minute conversation sessions. This group will include healthy younger adults, older adults with normal cognitive function, and older adults with cognitive difficulties. Participants will provide feedback on how easy and acceptable the platform is to use.

In the second stage, 60 older adults at high risk of dementia will be randomly assigned to one of three groups. The groups will receive either conversation-based cognitive activities using the platform, interest-based news reading activities, or weekly health education while waiting to receive the intervention. The study activities will continue for 12 weeks. Researchers will compare changes in cognitive function, emotional well-being, loneliness, social connection, and user experience before and after the study.

The main goals are to learn whether the platform is practical and acceptable for home use and whether it may help support cognitive and psychosocial health.

Conditions

• Subjective Cognitive Decline

Interventions

BEHAVIORAL

LLM Conversation Cognitive Interaction

A voice-based cognitive stimulation program delivered through a large language model-driven conversational platform. The platform uses topics selected according to each participant's interests and guides natural conversations designed to engage memory, attention, language, executive function, and social cognition. The platform provides topic summaries, asks questions, responds to participants' answers, and adjusts the depth of follow-up questions based on response quality. Conversation responses are converted into text and used to generate indicators of cognitive performance. The platform is intended for cognitive stimulation and does not provide a clinical diagnosis.

BEHAVIORAL

Interest-Based Knowledge Reading

A digital cognitive activity that provides short news and knowledge summaries based on participants' interests. The content includes both familiar and unfamiliar topics, as well as preferred and non-preferred topics, to provide varied cognitive challenges. Participants answer multiple-choice questions about each summary. The questions are designed to engage reading comprehension, attention, and memory for the presented information.

BEHAVIORAL

Waitlist Health Education

General health education materials for older adults delivered through the LINE platform. The materials provide information related to healthy aging and general health management but do not include structured conversational cognitive stimulation or interest-based reading exercises.

Sponsors & Collaborators

• Taipei Medical University Shuang Ho Hospital

  lead OTHER

Principal Investigators

• Hsinchieh Lee · Department of Physical Medicine and Rehabilitation, Shuang Ho Hospital, Taipei Medical University, Taipei

Study Design

Allocation

RANDOMIZED

Purpose

PREVENTION

Masking

SINGLE

Model

PARALLEL

Eligibility

Min Age

18 Years

Max Age

90 Years

Sex

ALL

Healthy Volunteers

Yes

Timeline & Regulatory

Start

2026-09-01

Primary Completion

2027-06-30

Completion

2027-06-30