Alpay, Janset

Profile URL
https://hdl.handle.net/20.500.14627/1273
Name Variants
Job Title
Arş. Gör. Uzm.
Email Address
janset.alpay@fbu.edu.tr
Main Affiliation
Status
Current Staff
Website
ORCID ID
0009-0009-5372-7936
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
PFR-4579-2026

Research Topics

Domains
Health SciencesPhysical SciencesSocial Sciences
Fields
MedicineEnvironmental ScienceHealth ProfessionsPsychology
Subfields
PhysiologyHealth, Toxicology and MutagenesisGeneral Health ProfessionsApplied Psychology
Specific Research Areas
Physical Activity and Health
Urban Green Space and Health
Thermoregulation and physiological responses
Mobile Health and mHealth Applications
Digital Mental Health Interventions

Sustainable Development Goals

SDG data is not available

Publication Collaboration

Affiliation Name Count
Fenerbahçe University 2
Istanbul Aydın University 1
Middle East Technical University 1
Ordu University 1
1 / 1
Data obtained from OpenAlex
Scholarly Output

2

Articles

2

WoS Citation Count

5

Scopus Citation Count

9

Filters

2025 - 20262

Settings

Author of Publication: search.filters.isAuthorOfPublication.b66c76bd-0e48-4a62-915c-89525e06acb3

Scholarly Output Search Results

Now showing 1 - 2 of 2
  • Article
    Citation - WoS: 5
    Citation - Scopus: 9
    Evaluating the Potential Role of Ai Chatbots in Designing Personalized Exercise Programs for Weight Management
    (Taylor & Francis inc, 2025) Sarac, Hakan; Ulusoy, Ismet Tarik; Alpay, Janset; Odemis, Hasan; Sogut, Mustafa
    This study aimed to evaluate the effectiveness and potential use of artificial intelligence (AI) chatbots in developing personalized exercise programs for weight management. Exercise programs were developed by ChatGPT-4, ChatGPT-4o, Gemini-1.5 Pro models, and a group of human expert trainers for a hypothetical obese individual case. All exercise programs were assessed based on the American College of Sports Medicine (ACSM) and National Academy of Sports Medicine (NASM) guidelines. The chatbot-generated programs were consistent with ACSM and NASM standards, indicating their potential use in low-resource settings. Nevertheless, considerable differences were found between human trainers and chatbots in key parameters, including initial load and target heart rate zone recommendations. While AI chatbots have the potential to enhance accessibility, human expertise remains essential to ensure program safety and effectiveness. The results of this study provide insights into the potential role of AI chatbots in personalized exercise programs for weight management.
  • Article
    The Effects of Indoor Environment Color on Cardiovascular Fitness in Healthy Young Adults
    (2026) Alpay, Janset; Berberoglu, Mehmet; Yazıcı, Deniz Kaan; Söğüt, Mustafa; Şahin, Batuhan
    Color plays an important role in human perception, and lighting conditions in indoor environments may influence perceptual and physiological responses. Recently, the potential effects of environmental factors such as room lighting on physical performance and training outcomes have received increasing attention. Therefore, this study aimed to examine the effects of indoor environment color on cardiovascular fitness. Thirteen healthy young adults (6 females, 7 males; mean age: 24.38 ± 3.13 years) participated in the study. Participants were randomly assigned to four experimental conditions and completed four separate measurement sessions. Each session was conducted under a different indoor environment color (fluorescent, red, green, and blue) while participants performed the standard Bruce Protocol on a treadmill. Heart rate recovery was recorded at 1-, 2-, 3-, and 5-minute post-exercise. Anthropometric measurements (height, body mass, and body fat percentage) were obtained prior to the first session. The results indicated that illumination color had no statistically significant effect on recovery heart rates (p > .05), with small effect sizes across conditions (η²p range = .019–.091). These findings suggest that the color of the indoor environment alone may not substantially influence cardiovascular responses during submaximal treadmill exercise. However, the observed tendencies may provide practical considerations for designers and exercise professionals when planning indoor sports and training environments.