WoS İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14627/6

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  • Article
    Implementation of an AI-Enhanced Motor and Cognitive Intervention: A Case Study in Developmental Delay
    (Routledge Journals, Taylor & Francis Ltd, 2025) Bektas, Selen Aydoner; Bumin, Gonca; Aydoner Bektas, Selen
    This study aimed to explore the implementation of an AI-enhanced motor and cognitive intervention for a 7-year-old child with developmental delay. A case study design was employed using an A-B framework (pre-test, intervention, post-test) over 12 weeks. The intervention incorporated AI-based tools such as Lumosity, Just Dance, and Cogmed for tailored motor and cognitive activities. The Bruininks-Oseretsky Test of Motor Proficiency-2 Brief Form (BOT-2 BF) and the Dynamic Occupational Therapy Cognitive Assessment for Children (DOTCA-Ch) were used to evaluate outcomes. Post-intervention, significant improvements were observed in BOT-2 BF and DOTCA-Ch scores, indicating enhanced motor coordination, and cognitive abilities. AI-enhanced interventions demonstrated the potential to address developmental delays by providing adaptive, engaging, and effective therapeutic activities. The findings highlight the feasibility of integrating AI tools into therapy, with implications for broader adoption in addressing developmental challenges. Further research is recommended to explore generalizability and long-term effects.
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  • Article
    Citation - WoS: 2
    Citation - Scopus: 5
    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.