Development of a Chatbot-supported Personalized Exercise Program for Older Adults and Evaluation of Its Effects on Cognitive Functions

May 12, 2026 updated by: Makbule Neslişah Tan, Dokuz Eylul University

The purpose of this study is to develop an artificial intelligence-based chatbot application to support exercise behavior in individuals aged 60 and over who do not regularly exercise, and to evaluate its effectiveness. In addition, the study aims to examine the effects of changes in exercise habits on the cognitive (mental) functions of older adults.

In this study, the impact of a chatbot-supported personalized exercise program on cognitive functions in older individuals will be evaluated. A total of 90 participants is planned for inclusion in this study.

If you agree to participate in this study, depending on the group you are assigned to, you may receive:

  • An artificial intelligence-based chatbot program, along with educational materials about the importance of exercise, or
  • Only educational materials (brochures) prepared by the researchers about the importance of exercise.

At the beginning of the study, you will be asked to complete a data collection form. The same form will also be administered at week 12 and week 24.

This form will include:

  • Basic information such as your age and gender,
  • Questions about your exercise habits,
  • A brief test to assess your cognitive (mental) functions,
  • Questions evaluating your level of physical activity. The study duration is 24 weeks, including 12 weeks of intervention and 12 weeks of follow-up.

Study Overview

Study Type

Interventional

Enrollment (Estimated)

90

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

      • Izmir, Turkey (Türkiye)
        • Dokuz Eylul University Faculty of Medicine Department of Family Medicine

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

  • Aged 65 years and older
  • Normal or mildly impaired cognitive status
  • Medical condition that does not prevent participation in physical activity
  • Ability to use a smartphone or tablet (for chatbot access)
  • Voluntary participation

Exclusion Criteria:

  • Moderate to severe dementia
  • Severe depression or serious psychiatric disorders
  • Acute cardiovascular risk
  • Communication difficulties due to significant hearing or visual impairment
  • Regular engagement in structured exercise within the past 6 months (participants in the maintenance phase of exercise behavior)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Supportive Care
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Artificial intelligence-supported chatbot and educational brochure on the importance of exercise

Participants assigned to this arm will receive a combined digital and educational intervention designed to promote behavior change in physical activity. In addition to a standard researcher-developed informational brochure describing the health benefits of exercise, participants will have access to a chatbot supported by artificial intelligence technology.

The chatbot will provide:

  • Interactive, on-demand communication regarding physical activity and exercise
  • Personalized educational messages tailored to participant needs and engagement patterns
  • Motivational support and behavioral prompts to encourage adherence to physical activity recommendations

The brochure will provide standardized, non-interactive information on:

  • The importance and health benefits of regular exercise
  • General physical activity recommendations This intervention arm differs from comparator arms by incorporating an interactive, adaptive, and continuous AI-based support system.

Participants will receive a combined behavioral intervention of an educational brochure developed by the Ministry of Health and access to an artificial intelligence (AI)-supported chatbot designed to promote physical activity.

The brochure will provide standardized written information on the importance of exercise, including general recommendations, health benefits, and basic guidance for an active lifestyle.

Participants will also have access to an AI-supported chatbot throughout the intervention period. The chatbot will deliver automated, interactive messages to increase physical activity, including motivational prompts, educational reinforcement, and behavior-change support.

The intervention will be delivered digitally via the chatbot platform, with no medication or physical devices required. The total duration and frequency of chatbot interactions will be continuous and on-demand during the study period.

No Intervention: Control (Brochure Only) Group

Participants assigned to this arm will receive a standard researcher-developed informational brochure on the importance of exercise, but will not receive any digital or interactive intervention.

The brochure will provide standardized, non-interactive information on:

  • The importance and health benefits of regular exercise
  • General physical activity recommendations

In addition to receiving the brochure, participants will:

  • Continue their usual daily activities and routine care
  • Do not have access to the artificial intelligence-supported chatbot
  • Not receive any personalized, interactive, or ongoing digital support or behavioral prompts during the study period This group differs from the experimental arm by receiving only static educational material, without any interactive or adaptive behavioral support system.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Cognitive function
Time Frame: Day 0, 3. Month, 6. Month
Cognitive function will be assessed using the Mini-Mental State Examination (MMSE), a standardized tool evaluating orientation, memory, attention, language, and visuospatial abilities. Higher scores indicate better cognitive performance.
Day 0, 3. Month, 6. Month

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Physical activity level
Time Frame: Day 0, 3. Month, 6. Month
Physical activity level will be measured using the Physical Activity Scale for the Elderly (PASE), which assesses the frequency and duration of physical activity in older adults, including leisure, household, and occupational activities. Higher scores indicate higher physical activity levels.
Day 0, 3. Month, 6. Month

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Demographic and clinical characteristics
Time Frame: Day 0
Participant demographic and clinical data will be collected, including age, sex, education level, presence of chronic diseases, and medication use. These variables will be recorded only at baseline.
Day 0
Stage of behavioral change
Time Frame: Day 0, 3. Month, 6. Month
Participants' stage of change according to the Transtheoretical Model (TTM) will be assessed to determine their readiness for physical activity behavior change. This assessment will be used to tailor chatbot-based behavioral change techniques grounded in TTM and COM-B frameworks, enabling stage-matched intervention delivery.
Day 0, 3. Month, 6. Month

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Study Director: Gizem Limnili, Dokuz Eylul University Faculty of Medicine Department of Family Medicine
  • Principal Investigator: Makbule Neslişah Tan, Dokuz Eylul University Faculty of Medicine Department of Family Medicine
  • Study Chair: Vildan Mevsim, Prof, Dokuz Eylul University Faculty of Medicine Department of Family Medicine

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

August 1, 2026

Primary Completion (Estimated)

October 30, 2026

Study Completion (Estimated)

October 30, 2026

Study Registration Dates

First Submitted

April 25, 2026

First Submitted That Met QC Criteria

May 12, 2026

First Posted (Actual)

May 19, 2026

Study Record Updates

Last Update Posted (Actual)

May 19, 2026

Last Update Submitted That Met QC Criteria

May 12, 2026

Last Verified

May 1, 2026

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 2025/45-39

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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