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From prompts to pictures: analysis of artificial intelligence generation designs for the hotel industry

Year 2024, Volume: 5 Issue: 2, 122 - 130, 31.12.2024

Abstract

The aim of this study is to examine the prompts and visuals used in the field of hotel management using artificial intelligence tools. Within the scope of the research, it was determined in which field of hotel management the images obtained as a result of the requests entered by the users into the artificial intelligence tools Midjourney and Bluewillow were used. Document review technique, one of the data collection techniques, was used in the research. For this purpose, the data were analyzed through content analysis by examining the prompts written by the users on the Midjourney and Bluewillow tools and the images obtained. Within the scope of the research, 308 requests entered by users into both artificial intelligence tools and the images obtained as a result of these requests were evaluated. As a result of the coding, the visuals created by the users with prompts were created in 2 categories and 8 subcategories for hotel employees and hotel designs.

References

  • Antony, P. & Kannan, R. (2024). Revolutionizing the tourism industry through artificial intelligence: a comprehensive review of ai integration, impact on customer experience, operational efficiency, and future trends. International Journal for Multidimensional Research Perspectives, 2(2), 01-14.
  • Bluewillow (2024). Bluewillow Ai. https://www.bluewillow.ai/ Erişim Tarihi: 20.02.2024
  • Borji, A. (2023). Generated faces in the wild: Quantitative comparison of stable diffusion, midjourney and dall-e 2, arXiv preprint http://arxiv.org/abs/2210.00586.
  • Bozkurt, A. (2023). ChatGPT, üretken yapay zekâ ve algoritmik paradigma değişikliği, Alanyazın eğitim bilimleri eleştirel inceleme dergisi, 4 (1), 63-72.
  • Bulchand-Gidumal, J. (2022). Impact of artificial intelligence in travel, tourism, and hospitality. In Handbook of e-Tourism (pp. 1943-1962). Cham: Springer International Publishing.
  • Cao, Y., Li, S., Liu, Y., Yan, Z., Dai, Y., Yu, P. S. & Sun, L. (2023). A comprehensive survey of ai-generated content (AIGC): A history of generative AI from gan to ChatGPT. arXiv preprint. arXiv:2303.04226. https://doi.org/10.48550/arXiv.2303.04226.
  • Chiu, T. K. F. (2023). The impact of generative ai (Genai) on practices, policies and research direction in education: A case of ChatGPT and midjourney, Interactive Learning Environments, 1-17, https://doi.org/10.1080/10494820.2023.2253861.
  • Chu, S. C., Yim, M. Y. C., & Mundel, J. (2024). Artificial intelligence, virtual and augmented reality, social media, online reviews, and influencers: a review of how service businesses use promotional devices and future research directions. International Journal of Advertising, 1-31.
  • Cobb P. J. (2023). Large language models and generative ai, oh my!: archaeology in the time of ChatGPT, midjourney, and beyond, Advances in Archaeological Practice, 11 (3), 363-369. doi:10.1017/aap.2023.20.
  • Discord. (2024). https://discord.com/ Erişim Tarihi: 02.04.2024-15.08.2024
  • Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283-314.
  • Doğan, S., & Niyet, İ. Z. (2024). Artificial Intelligence (AI) in Tourism. In Future Tourism Trends Volume 2: Technology Advancement, Trends and Innovations for the Future in Tourism (pp. 3-21). Emerald Publishing Limited.
  • Dowling, M. & Lucey, B. (2023), “ChatGPT for (finance) research: The bananarama conjecture”, Finance Research Letters, 53, 103662, doi: 10.1016/j.frl.2023.103662.
  • Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L.,
  • Buhalis, D., … Wright, R. (2023). Opinion paper: “so what if chatgpt wrote it?” multidisciplinary perspectives on opportunities, challenges and implications of generative conversational ai for research, practice and policy, International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642.
  • Filieri, R., D’Amico, E., Destefanis, A., Paolucci, E., & Raguseo, E. (2021). Artificial intelligence (AI) for tourism: an European-based study on successful AI tourism start-ups. International Journal of Contemporary Hospitality Management, 33(11), 4099-4125.
  • Florido-Benítez, L., & del Alcázar Martínez, B. (2024). How artificial intelligence (ai) is powering new tourism marketing and the future agenda for smart tourist destinations. Electronics, 13(21), 4151.
  • Indaryanto, A., Harijadi, B. D., & Sinaga, E. (2023). The growing use and impact of artificial intelligence technologies in the tourism industry. Sustainable Engineering and Innovation, 5(2), 189-204.
  • Ivanov, S., & Webster, C. (2019). Conceptual framework of the use of robots, artificial intelligence and service automation in travel, tourism, and hospitality companies. Robots, artificial intelligence, and service automation in travel, tourism and hospitality, 7-37.
  • Knochel, A. D. (2023). Midjourney killed the photoshop star: Assembling the emerging field of synthography, Studies in Art Education, 64 (4), 467–481. Doi.org/10.1080/00393541.2023.2255085.
  • Ku, E. C., & Chen, C. D. (2024). Artificial intelligence innovation of tourism businesses: From satisfied tourists to continued service usage intention. International Journal of Information Management, 76, 102757.
  • Laria, R. & McDonell, K. (2021). Prompt programming for large language models: Beyond the few-shot paradigm. In extended abstracts of the chi conference on human factors in computing systems (CHI EA’21). Association for Computing Machinery, New York, NY, Article 314.
  • Limewire (2024). https://limewire.com/ Erişim Tarihi: 20.02.2024.
  • Liu, V. & Chilton, L. B. (2022). Design guidelines for prompt engineering text-to-image generative models, chi '22: Proceedings of the 2022 chi conference on human factors in computing systems, April 2022, 1–23, https://doi.org/10.1145/3491102.3501825.
  • Midjourney (2024). Midjoruney Ai. https://www.midjourney.com/home/ Erişim Tarihi: 20.02.2024.
  • Radhakrishnan, A. M. (2023). Is mıdjourney-ai a new anti-hero of architectural ımagery and creativity? An atypical era of ai-based representation & its effect on creativity in the architectural design process, Global scientific journals, 11 (1), 94-104.
  • Sandoval-Martin, Teresa & Ester Martínez-Sanzo (2024). Perpetuation of gender bias in visual representation of professions in the generative ai tools dall·e and bing image creator, Social Sciences, 13: 250. Doi.org/10.3390/socsci13050250.
  • Williams, A. M., Rodríguez Sánchez, I., & Škokić, V. (2021). Innovation, risk, and uncertainty: A study of tourism entrepreneurs. Journal of Travel Research, 60(2), 293-311.
  • Yıldırım, A. & Şimşek, H. (2016). Sosyal bilimlerde nitel araştırma yöntemleri, Ankara: Seçkin.
  • Zhang, Y. & Liu, C. (2024). Unlocking the potential of artificial ıntelligence in fashion design and e-commerce applications: The case of midjourney, Journal of Theoretical and Apllied Electronic Commerce Research, 19 (1), 654–670, Doi:10.3390/jtaer19010035.

İstemlerden görsellere: otelcilik sektörüne yönelik yapay zekâ üretimi tasarımların analizi

Year 2024, Volume: 5 Issue: 2, 122 - 130, 31.12.2024

Abstract

Bu çalışmanın amacı, yapay zekâ araçları kullanılarak otelcilik alanında kullanılan istemler ve görselleri incelemektir. Araştırma kapsamında, kullanıcılar tarafından yapay zekâ araçlarından Midjourney ve Bluewillow’a girilen istemler neticesinde elde edilen görüntülerin otelciliğin hangi alanında kullanıldığı belirlenmiştir. Araştırmada veri toplama tekniklerinden biri olan doküman inceleme tekniği kullanılmıştır. Bu amaçla, Midjourney ve Bluewillow araçlarına kullanıcılar tarafından yazılan istemler ve elde edilen görseller incelenerek veriler içerik analizi yoluyla çözümlenmiştir. Araştırma kapsamında kullanıcılar tarafından her iki yapay zekâ aracına girilen 308 istem ve bu istemler sonucunda elde edilen görseller değerlendirmeye alınmıştır. Yapılan kodlamalar sonucunda kullanıcılar tarafından istemlerle oluşturulan görseller, otel iş görenleri ile otel tasarımlarına yönelik 2 kategori ve 8 alt kategoride oluşturulmuştur.

References

  • Antony, P. & Kannan, R. (2024). Revolutionizing the tourism industry through artificial intelligence: a comprehensive review of ai integration, impact on customer experience, operational efficiency, and future trends. International Journal for Multidimensional Research Perspectives, 2(2), 01-14.
  • Bluewillow (2024). Bluewillow Ai. https://www.bluewillow.ai/ Erişim Tarihi: 20.02.2024
  • Borji, A. (2023). Generated faces in the wild: Quantitative comparison of stable diffusion, midjourney and dall-e 2, arXiv preprint http://arxiv.org/abs/2210.00586.
  • Bozkurt, A. (2023). ChatGPT, üretken yapay zekâ ve algoritmik paradigma değişikliği, Alanyazın eğitim bilimleri eleştirel inceleme dergisi, 4 (1), 63-72.
  • Bulchand-Gidumal, J. (2022). Impact of artificial intelligence in travel, tourism, and hospitality. In Handbook of e-Tourism (pp. 1943-1962). Cham: Springer International Publishing.
  • Cao, Y., Li, S., Liu, Y., Yan, Z., Dai, Y., Yu, P. S. & Sun, L. (2023). A comprehensive survey of ai-generated content (AIGC): A history of generative AI from gan to ChatGPT. arXiv preprint. arXiv:2303.04226. https://doi.org/10.48550/arXiv.2303.04226.
  • Chiu, T. K. F. (2023). The impact of generative ai (Genai) on practices, policies and research direction in education: A case of ChatGPT and midjourney, Interactive Learning Environments, 1-17, https://doi.org/10.1080/10494820.2023.2253861.
  • Chu, S. C., Yim, M. Y. C., & Mundel, J. (2024). Artificial intelligence, virtual and augmented reality, social media, online reviews, and influencers: a review of how service businesses use promotional devices and future research directions. International Journal of Advertising, 1-31.
  • Cobb P. J. (2023). Large language models and generative ai, oh my!: archaeology in the time of ChatGPT, midjourney, and beyond, Advances in Archaeological Practice, 11 (3), 363-369. doi:10.1017/aap.2023.20.
  • Discord. (2024). https://discord.com/ Erişim Tarihi: 02.04.2024-15.08.2024
  • Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283-314.
  • Doğan, S., & Niyet, İ. Z. (2024). Artificial Intelligence (AI) in Tourism. In Future Tourism Trends Volume 2: Technology Advancement, Trends and Innovations for the Future in Tourism (pp. 3-21). Emerald Publishing Limited.
  • Dowling, M. & Lucey, B. (2023), “ChatGPT for (finance) research: The bananarama conjecture”, Finance Research Letters, 53, 103662, doi: 10.1016/j.frl.2023.103662.
  • Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L.,
  • Buhalis, D., … Wright, R. (2023). Opinion paper: “so what if chatgpt wrote it?” multidisciplinary perspectives on opportunities, challenges and implications of generative conversational ai for research, practice and policy, International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642.
  • Filieri, R., D’Amico, E., Destefanis, A., Paolucci, E., & Raguseo, E. (2021). Artificial intelligence (AI) for tourism: an European-based study on successful AI tourism start-ups. International Journal of Contemporary Hospitality Management, 33(11), 4099-4125.
  • Florido-Benítez, L., & del Alcázar Martínez, B. (2024). How artificial intelligence (ai) is powering new tourism marketing and the future agenda for smart tourist destinations. Electronics, 13(21), 4151.
  • Indaryanto, A., Harijadi, B. D., & Sinaga, E. (2023). The growing use and impact of artificial intelligence technologies in the tourism industry. Sustainable Engineering and Innovation, 5(2), 189-204.
  • Ivanov, S., & Webster, C. (2019). Conceptual framework of the use of robots, artificial intelligence and service automation in travel, tourism, and hospitality companies. Robots, artificial intelligence, and service automation in travel, tourism and hospitality, 7-37.
  • Knochel, A. D. (2023). Midjourney killed the photoshop star: Assembling the emerging field of synthography, Studies in Art Education, 64 (4), 467–481. Doi.org/10.1080/00393541.2023.2255085.
  • Ku, E. C., & Chen, C. D. (2024). Artificial intelligence innovation of tourism businesses: From satisfied tourists to continued service usage intention. International Journal of Information Management, 76, 102757.
  • Laria, R. & McDonell, K. (2021). Prompt programming for large language models: Beyond the few-shot paradigm. In extended abstracts of the chi conference on human factors in computing systems (CHI EA’21). Association for Computing Machinery, New York, NY, Article 314.
  • Limewire (2024). https://limewire.com/ Erişim Tarihi: 20.02.2024.
  • Liu, V. & Chilton, L. B. (2022). Design guidelines for prompt engineering text-to-image generative models, chi '22: Proceedings of the 2022 chi conference on human factors in computing systems, April 2022, 1–23, https://doi.org/10.1145/3491102.3501825.
  • Midjourney (2024). Midjoruney Ai. https://www.midjourney.com/home/ Erişim Tarihi: 20.02.2024.
  • Radhakrishnan, A. M. (2023). Is mıdjourney-ai a new anti-hero of architectural ımagery and creativity? An atypical era of ai-based representation & its effect on creativity in the architectural design process, Global scientific journals, 11 (1), 94-104.
  • Sandoval-Martin, Teresa & Ester Martínez-Sanzo (2024). Perpetuation of gender bias in visual representation of professions in the generative ai tools dall·e and bing image creator, Social Sciences, 13: 250. Doi.org/10.3390/socsci13050250.
  • Williams, A. M., Rodríguez Sánchez, I., & Škokić, V. (2021). Innovation, risk, and uncertainty: A study of tourism entrepreneurs. Journal of Travel Research, 60(2), 293-311.
  • Yıldırım, A. & Şimşek, H. (2016). Sosyal bilimlerde nitel araştırma yöntemleri, Ankara: Seçkin.
  • Zhang, Y. & Liu, C. (2024). Unlocking the potential of artificial ıntelligence in fashion design and e-commerce applications: The case of midjourney, Journal of Theoretical and Apllied Electronic Commerce Research, 19 (1), 654–670, Doi:10.3390/jtaer19010035.
There are 30 citations in total.

Details

Primary Language Turkish
Subjects Tourism (Other)
Journal Section Research Articles
Authors

Ersin Arıkan 0000-0002-6171-1813

Early Pub Date December 25, 2024
Publication Date December 31, 2024
Submission Date November 19, 2024
Acceptance Date December 25, 2024
Published in Issue Year 2024 Volume: 5 Issue: 2

Cite

APA Arıkan, E. (2024). İstemlerden görsellere: otelcilik sektörüne yönelik yapay zekâ üretimi tasarımların analizi. Journal of Applied Tourism Research, 5(2), 122-130.


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