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.
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)
Moderate to severe dementia
Severe depression or serious psychiatric disorders
Acute cardiovascular risk
Communication difficulties due to significant hearing or visual impairment
Parallel
Artificial intelligence-supported chatbot
BehavioralParticipants 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.
Cognitive function
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.
Physical activity level
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.
Demographic and clinical characteristics
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.
Stage of behavioral change
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.
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Dokuz Eylul University
Lead sponsor
Vinnova
Collaborator
This trial is not recruiting at the moment. You can still explore other options:
