The Role of Generative Pre-trained Transformers (GPT) in Recreational Tourism: An Interview with ChatGPT

Yıl 2023, , 733 - 748, 31.10.2023

Okan Çolak

https://doi.org/10.25307/jssr.1341967

Cited By: 3

Öz

This study explores the potential benefits of employing generative pre-trained transformers (GPTs) in recreational tourism, the difficulties that arise when implementing such technology, the impact it has on tourist behaviour, and the ways it can be utilised in recreational tourism management. The original aspect of the study is that it is the first to give detailed information about the use of GPT in recreational tourism. ChatGPT was used as an interviewer in the study. ChatGPT is a software application that utilizes the high-powered machine learning software called Generative Pre-trained Transformer (GPT-3), developed by the OpenAI organization. Six questions were posed on the ChatGPT query screen (https://chat.openai.com/chat). The interview queries were prepared with reference to the study by Fusté-Forné and Orea-Giner (2023). The question statements in this study on the use of GPT in gastronomy tourism were changed to recreational tourism. ChatGPT's replies were tabulated and presented descriptively. Inferences and suggestions were made in line with the answers given by ChatGPT. The study showed that using GPT technology in recreational-based tourism can offer better customer interaction, decision-making, and a personalized travel experience. ChatGPT underlined that new technologies continue to evolve, and recreational-based tourism will become more personalized, informative, and immersive, ultimately enhancing the overall travel experience, and contributing to the growth and sustainability of the tourism industry. ChatGPT also noted GPT models have the potential to shape and enhance the entire travel experience for tourists, from the initial planning stages to the actual trip itself. Although GPT makes significant contributions to recreational tourism management and recreational tourists, there are deficiencies in ethical, privacy, and authenticity concerns.

Anahtar Kelimeler

Generative pre-trained transformers (GPT), ChatGPT, Recreational tourism

Kaynakça

• Akyol, B., and Öztürk, Y. (2023). Turistlerin tatil seçimi karar verme aşamalarında sosyal medyanın rolü: tripadvisor örneği. Journal of Tourism and Gastronomy Studies, 11(2), 1581-1599. https://doi.org/10.21325/jotags.2023.1257
• Ali, F., and Chatgpt Openai, I. (2023). Let the devil speak for itself: Should ChatGPT be allowed or banned in hospitality and tourism schools? Journal of Global Hospitality and Tourism, 2(1), 1-6. https://www.doi.org/10.5038/2771-5957.2.1.1016
• Aylan, F. K. and Aylan, S. (2020). Sanal gerçeklik ve artırılmış gerçeklik uygulamalarının rekreatif faaliyetlere yansıması: Dijital rekreasyon. Türk Turizm Araştırmaları Dergisi, 4(3), 2746-2760. https://doi.org/10.26677/TR1010.2020.507
• Baran, Z., and Karaca, Ş. (2023). Virtual recreation applications analyzing digital tourism from the perspective of smart cities. Turkish Studies, 18(2), 413-424. https://dx.doi.org/10.7827/TurkishStudies.69089
• Başer, G. (2020). Digital marketing practices: Trends and challenges for the tourism industry. International Journal of Global Tourism Research, 4(1), 1-12.
• Calvaresi, D., İbrahim, A., Calbimonte, J.-P., Schegg, R., Fragniere, E., and Schumacher, M. (2021). The evolution of chatbots in tourism: A systematic literature review. W. Wörndl, C. Koo, & J. L. Stienmetz (Ed.), Information and communication technologies in tourism 2021 (S. 3-16). Springer Nature.
• Carter, E. (2017). Social media, mobile, and travel: Like, tweet, and share your way across the globe. Retrieved from: https://www.webfx.com/blog/social-media/social-media-mobile-travel/
• Carvalho, I., and Ivanov, S. (2023). Chatgpt for tourism: Applications, benefits and risks. Tourism Review, https://doi.org/10.1108/TR-02-2023-0088
• Dilek, N. K., and Dinçer, F. İ. (2020). Sanal gerçeklik uygulamalarının engelli bireylerin rekreasyonel faaliyetlere katılımında destekleyici rolü. Journal of Current Debates in Social Sciences, 3(1), 1-9. https://doi.org/10.37154/ijopec.2020.14
• Dwivedi, Y. K., Pandey, N., Currie, W., and 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, https://doi.org/10.1108/ijchm-05-2023-0686.
• Erul, E., and Işın, A. (2023). Chatgpt ile sohbetler: Turizmde Chatgpt’nin önemi. Journal of Tourism and Gastronomy Studies, 11(1), 780-793. https://doi.org/10.21325/jotags.2023.1217
• Eryılmaz, S. and Bal, H. T. (2019). Teknoloji bağımlılığı ile rekreasyonel eğilimler arasındaki ilişki: Üniversite öğrencileri üzerinde bir inceleme. Türk Turizm Araştırmaları Dergisi, 3(4), 902-919. https://doi.org/10.26677/TR1010.2019.218
• Future Marketing Insights. (2023). Digital Travel Market Outlook (2022-2032). Retrieved from: https://www.futuremarketinsights.com/reports/digital-travel-sector-outlook
• Fusté-Forné, F., and Orea-Giner, A. (2023). Gastronomy in tourism management and marketing: An interview with chatgpt. Robonomics: The Journal of The Automated Economy, (4), 1-13. Retrieved from https://www.journal.robonomics.science/index.php/rj/article/view/42
• Göktaş, L. S. (2023). Chatgpt uzaktan eğitim sınavlarında başarılı olabilir mi? turizm alanında doğruluk ve doğrulama üzerine bir araştırma. Journal of Tourism and Gastronomy Studies, 11(2), 892-905. https://doi.org/10.21325/jotags.2023.1224
• Grundner, L., and Neuhofer, B. (2021). The bright and dark sides of artificial intelligence: A futures perspective on tourist destination experiences. Journal of Destination Marketing & Management, (100511), 1-12. https://doi.org/10.1016/j.jdmm.2020.100511
• Gursoy, D., Li, Y., and Song, H. (2023). Chatgpt and the hospitality and tourism industry: An overview of current trends and future research directions. Journal of Hospitality Marketing & Management, 32(5), 579-592. https://doi.org/10.1080/19368623.2023.2211993
• Iskender, A. (2023). Holy or unholy? Interview with Open AI’s chatgpt. European Journal of Tourism Research, (34), 1-11. https://doi.org/10.54055/ejtr.v34i.3169
• Ivanov, S., and Soliman, M. (2023). Game of algorithms: Chatgpt implications for the future of tourism education and research. Journal of Tourism Futures, 9(2), 214-221. https://doi.org/10.1108/JTF-02-2023-0038
• Keiper, M. C. (2023). ChatGPT in practice: Increasing event planning efficiency through artificial intelligence. Journal of Hospitality, Leisure, Sport & Tourism Education, 33, 100454. https://doi.org/10.1016/j.jhlste.2023.100454
• Liu, X., Mehraliyev, F., Liu, C., and Schuckert, M. (2020). The roles of social media in tourists’ choices of travel components. Tourist Studies, 20(1), 27-48. https://doi.org/10.1177/1468797619873107
• McCommon, S. (2023). Digital transformation in the leisure industry: 10 Ways to innovate the customer experience. Retrieved from: https://smartdev.com/digital-transformation-in-the-leisure-industry-10-ways-to-innovate-the-customer-experience/
• Melián-González, S., Gutiérrez-Taño, D., and Bulchand-Gidumal, J. (2021). Predicting the intentions to use chatbots for travel and tourism. Current Issues in Tourism, 24(2), 192-210. https://doi.org/10.1080/13683500.2019.1706457
• Metin, T. C., Kesici, M., and Kodaş, D. (2013). Rekreasyon olgusuna akademisyenlerin yaklaşımları. Journal of Yaşar University, 30(8), 5021-5048.
• Mich, L., and Garigliano, R. (2023). Chatgpt for e-tourism: A technological perspective. Information Technology & Tourism, (25), 1-12. https://doi.org/10.1007/s40558-023-00248-x
• Nimrod, G., and Adoni, H. (2012). Conceptualizing e-leisure. Loisir et Société/Society and Leisure, 35(1), 31-56. https://doi.org/10.1080/07053436.2012.10707834
• Orden-Mejía, M., and Huertas, A. (2022). Analysis of the attributes of smart tourism technologies indestination chatbots that influence tourist satisfaction. Current Issues in Tourism, 25(17), 2854–2869. https://doi.org/10.1080/13683500.2021.1997942
• Özyıldırım, A., and Koçoğlu, C. M. (2019). Tatil satın alma kararını etkileyen faktörler: Kocaeli’ndeki çağrı merkezi operatörleri üzerine bir araştırma. Karabük Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 9(1), 189-209.
• Pop, R.-A., Săplăcan, Z., Dabija, D.-C., and Alt, M.-A. (2022). The impact of social media influencers on travel decisions: The role of trust in consumer decision journey. Current Issues in Tourism, 25(5), 823-843. https://doi.org/10.1080/13683500.2021.1895729
• Rospigliosi, P.A. (2023). Artificial intelligence in teaching and learning: What questions should we ask of Chatgpt? Interactive Learning Environments, 31(1), 1-3. https://doi.org/10.1080/10494820.2023.2180191
• Ross, C. M., and Sharpless, D. R. (1999). Innovative information technology and its impact on recreation and sport programming. Journal of Physical Education, Recreation & Dance, 70(9), 26-30.
• Shcherbina, O., & Shembeleva, E. (2014). Modeling recreational systems using optimization techniques and information technologies. Annals of Operations Research (221), 309-329. https://doi.org/10.1080/07303084.1999.10605965
• Skavronskaya, L., Hadinejad, A. H., and Cotterell, D. (2023). Reversing the threat of artificial intelligence to opportunity: a discussion of chatgpt in tourism education. Journal of Teaching in Travel & Tourism, 23(2), 253-258. https://doi.org/10.1080/15313220.2023.2196658
• Sorrells, M. (2018). What travel marketers need to know for digital engagement. Retrieved from https://www.phocuswire.com/Bing-Phocuswright-digital-travel-marketing-study adresinden
• Sorrells, M. (2023). What will chatgpt mean for the travel industry?. Retrieved from https://www.travelweekly.com/travel-news/travel-technology/what-will-chatgpt-mean-for-the-travel-industry
• Sudirjo, F., Diawati, P., Riady, Y., Ausat, A. M., and Suherlan, S. (2023). The role of chatgpt in enhancing the information search and decision-making process of travellers. Jurnal Minfo Polganvolume, 12(2), 500-507. https://doi.org/10.33395/jmp.v12i2.12443
• Ukpabi, D. C., Aslam, B., and Karjaluoto, H. (2019). Chatbot adoption in tourism services: A conceptual exploration. S. Ivanov, & C. Webster (Ed.), Robots, artificial intelligence, and service automation in travel, tourism and hospitality (S. 105-121). Emerald Publishing Limited. https://doi.org/10.1108/978-1-78756-687-320191006
• Xiang, Z., and Gretzel, U. (2010). Role of social media in online travel information search. Tourism Management, 31(2), 179-188. https://doi.org/10.1016/j.tourman.2009.02.016
• Yuan, Y., Chan, C.-S., Eichelberger, S., Ma, H., and Pikkemaat, B. (2022). The effect of social media on travel planning process by chinese tourists: THE way forward to tourism futures. Journal of Tourism Futures, 1-20. https://doi.org/10.1108/JTF-04-2021-0094
• Zhang, Y., Pei, H., Zhen, S., Li, Q. and Liang, F. (2023). Chat generative pre-trained transformer (ChatGPT) usage in healthcare. Gastroenterology & Endoscopy (1), 139-143. https://doi.org/10.1016/j.gande.2023.07.002