Human-AI Interaction for Exploring Artificial Intelligence Applications in Recreation Engagement.
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Abstract
This study investigated the emerging role of artificial intelligence (AI) in recreational engagement through human-AI interaction. As digital technologies are increasingly integrated into daily life, AI-powered systems such as conversational agents like ChatGPT can provide new opportunities for planning, personalising, and enhancing recreational experiences. The research explored how AI tools can support creativity, provide personalised suggestions, facilitate access to different recreational options, and assist with scheduling and feedback mechanisms. Using a qualitative design, the study engaged AI-driven simulations and document analysis to examine practical use cases in recreational situations. The findings indicated the potential of AI to increase inclusivity, support decision-making, and enrich user experience in recreational settings. However, concerns regarding digital access, content reliability, and ethical use were equally observed. The study concluded by recommending the need for careful integration of AI tools with human supervision in order to mitigate the risks of contents reliability and ensure that recreational technologies enhance rather than replace the human essence of leisure and play
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References
Barakazı, E. (2023). The role of technological innovations in diversification of recreational activities: Interview with ChatGPT. Journal of Gastronomy, Hospitality and Travel, 6(4), 1639–1649.
Başer, G. (2020). Digital marketing practices: Trends and challenges for the tourism industry. International Journal of Global Tourism Research, 4(1), 1–12.
Carvalho, I., & Ivanov, S. (2023). ChatGPT for tourism: Applications, benefits and risks. Tourism Review, 79(2). https://doi.org/10.1108/TR-02-2023-0088
Chemnad, K., & Othman, A. (2024). Digital accessibility in the era of artificial intelligence—Bibliometric analysis and systematic review. Frontiers in Artificial Intelligence, 7, 1349668. https://doi.org/10.3389/frai.2024.1349668
Çolak, O. (2023). The role of generative pre-trained transformers (GPT) in recreational tourism: An interview with ChatGPT. Journal of Sport Sciences Research, 8(3), 733–748.
Dhinagaran, D. A., Sathish, T., Soong, A., Theng, Y., Best, J., & Car, L. T. (2021). Conversational agent for healthy lifestyle behaviour change: Web-based feasibility study. JMIR Formative Research, 5(12), 1–16. https://doi.org/10.2196/27956
Dung, A. F., Dakogo, C., Bala, A. I., & Manne, M. J. (2023). Factors affecting the development of recreational facilities in Awka South urban areas of Anambra State, Nigeria. International Journal of Research and Innovation in Social Science, 7(8), 703–715. https://dx.doi.org/10.47772/IJRISS.2023.7850
Dwivedi, Y. K., Pandey, N., Currie, W., & Micu, A. (2023). Leveraging ChatGPT and other generative artificial intelligence (AI)-based applications in the hospitality and tourism industry: Practices, challenges and research agenda. International Journal of Contemporary Hospitality Management, 36(1). https://doi.org/10.1108/ijchm-05-20230686
Fusté-Forné, F., & Orea-Giner, A. (2023). Gastronomy in tourism management and marketing: An interview with ChatGPT. Robonomics: The Journal of the Automated Economy, (4), 1–13. https://www.journal.robonomics.science/index.php/rj/article/view/42
Ghent, M., Matei, A., Mladen-Macovei, L., & Bobârnat, E.-S. (2022). Factors associated with the participation of older adults in cultural and sports activities. International Journal of Environmental Research and Public Health, 19, 6244. https://doi.org/10.3390/ijerph19106244
Koo, C., Xiang, Z., Gretzel, U., & Sigala, M. (2021). Artificial intelligence (AI) and robotics in travel, hospitality and leisure. Electronic Markets, 31, 473–476. https://doi.org/10.1007/s12525-021-00494-z
Obi, L. (2024). The role of recreational activities in enhancing quality of life among the elderly. International Journal of Arts, Recreation and Sports, 3(3), 52–65. https://doi.org/10.47941/ijars.1944
Obinwanne, C. O., & Alozie, E. N. (2019). Role of leisure and recreation in improving quality of life of workers in tertiary institutions. International Journal of Development Strategies in Humanities, Management and Social Sciences, 9(3), 16–34.
Ogabor, J. O., Nkanu, E. I., Apie, M. A., Bepeh, M. I., Aduma, P. O., & Aminu, S. S. (2024). Influence of recreational activities on stress, subjective wellbeing and job satisfaction among lecturers in University of Calabar. Global Journal of Educational Research, 23(1), 31–41. https://dx.doi.org/10.4314/gjedr.v23i1.4
Oliver, A., & Guiller, J. (2025). Generative AI in sport and exercise psychology: Exploring opportunities and overcoming challenges. Sport & Exercise Psychology Review, 19(2), 36–45. https://doi.org/10.53841/bpssepr.2024.19.2.36
Owan, V. J., Abang, K. B., Idika, D. O., Etta, E. O., & Bassey, B. A. (2023). Exploring the potential of artificial intelligence tools in educational measurement and assessment. EURASIA Journal of Mathematics, Science and Technology Education, 19(8), 1–15.
Petersen, C. B., Bekker-Jeppesen, M., Aadahl, M., & Lau, C. J. (2021). Participation in recreational activities varies with socioeconomic position and is associated with self-rated health and well-being. Preventive Medicine Reports, 24, 101601. https://doi.org/10.1016/j.pmedr.2021.101610
Puce, L., Bragazzi, N. L., Currà, A., & Trompetto, C. (2025). Harnessing generative artificial intelligence for exercise and training prescription: Applications and implications in sports and physical activity—a systematic literature review. Applied Sciences, 15, 3497. https://doi.org/10.3390/app15073497
Reddy, S. (2024). Generative AI in healthcare: An implementation science informed translational path on application, integration and governance. Implementation Science, 19(27). https://doi.org/10.1186/s13012-024-01357
Sallam, M. (2023). ChatGPT utility in healthcare education, research, and practice: Systematic review on the promising perspectives and valid concerns. Healthcare, 11(6), 887. https://doi.org/10.3390/healthcare11060887
Sarol, H., Polat, S. Ç., & Ekinci, E. (2024). Perceived health outcomes of recreation and happiness: Exploring the mediating role of resilience. Frontiers in Public Health, 12, 1383367. https://doi.org/10.3389/fpubh.2024.1383367
Tutar, Ö. F., & Turhan, F. H. (2023). Digital leisure: Transformation of leisure activities. Shanlax International Journal of Education, 11(S1), 16–28. https://doi.org/10.34293/education.v11iS1-Oct.6365
Wardat, Y., Tashtoush, M. A., AlAli, R., & Jarrah, A. M. (2023). ChatGPT: A revolutionary tool for teaching and learning mathematics. EURASIA Journal of Mathematics, Science and Technology Education, 19(7), em2286. https://doi.org/10.29333/ejmste/13272
Yella, A., & Kondam, A. (2023). The role of AI in enhancing decision-making processes in healthcare. Journal of Innovative Technologies, 6(1).
Zuhair, Y., Babar, A., Ali, R., Oduoye, M. O., Noor, Z., Chri, K., Okon, I. I., & Rehman, L. U. (2024). Exploring the impact of artificial intelligence on global health and enhancing healthcare in developing nations. Primary Care & Community Health, 15, 1–10.