Impact of artificial intelligence models on recreation: Comparative analysis of ChatGPT and Gemini
Yazarlar (3)
| Makale Türü | Özgün Makale (SCOPUS dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Technische Sicherheit | ||
| Dergi Tarandığı Indeksler | |||
| Makale Dili | İngilizce | Basım Tarihi | 01-2025 |
| Cilt / Sayı / Sayfa | 25 / 6 / 635–646 | DOI | – |
| Makale Linki | https://www.researchgate.net/profile/Aydin-Uenal-2/publication/392986563_Impact_of_Artificial_Intelligence_Models_on_Recreation_Comparative_Analysis_of_ChatGPT_and_Gemini/links/685b97fd07d6d53e82ee600b/Impact-of-Artificial-Intelligence-Models-on-Recr | ||
| UAK Araştırma Alanları |
Eğitim Bilimleri
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| Özet |
| Since the dawn of human history, recreation has consistently played a role in daily life. Despite ongoing changes in technological, economic, and climatic conditions over time, the concept of leisure has remained a persistent and integral part of human experience. Recent technological advancements have not fundamentally altered the desire for leisure but have instead diversified the ways people engage in it. Innovations such as computers, mobile devices, smart technologies, social media platforms, and digital games have significantly enhanced individuals' recreational experiences. This study aims to evaluate the performance of Artificial Intelligence (AI) models within the context of recreation. Specifically, it explores the functional capabilities of advanced AI systems–namely Gemini and ChatGPT–in supporting and enhancing recreational practices. This research is situated within the broader discourse on the role of AI in the technological landscape and seeks to assess how effectively these models can contribute to leisure-related applications. Using a literature review and expert input, twelve structured questions were posed to both AI models. Their responses were systematically analyzed and compared based on criteria including detail, creativity, elaboration, use of visuals and graphics, response speed, competence, and subject-matter knowledge. The study employed content analysis and descriptive analysis, both of which are qualitative research methods, to interpret the data. Findings indicate that both AI models demonstrate a high degree of reliability and content accuracy. Moreover, valuable insights were derived regarding their … |
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