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NCT Number: NCT07596082

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

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.

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Key information

Conditions

Aged Artificial Intelligence (AI) Behavior Cognition Exercise Health Behavior Motor Activity

Age range

65 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Dokuz Eylul University Faculty of Medicine Department of Family Medicine

Izmir, Turkey (Türkiye)

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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)

Treatment and study plan

Artificial intelligence-supported chatbot

Behavioral

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.

Primary outcomes

  1. 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.

Secondary outcomes

  1. 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.

Other outcomes

  1. 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.

  2. 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.

Study contacts

Contact information is provided by the study sponsor or research team.

Gizem Limnili, MD

CONTACT

[email protected]

+902324124951

Makbule Neslişah Tan, Associate Professor

CONTACT

[email protected]

+902324124951

Sponsors and collaborators

Lead sponsor

Dokuz Eylul University

Other

Collaborators

  • Vinnova

Registry information

Important dates

Study start
2026
Primary completion
2026
Study completion
2026
First posted
May 19, 2026
Registry last updated
May 19, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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