TY - JOUR T1 - Artificial intelligence and robotic technologies in tourism and hospitality industry TT - Turizm ve ağırlama endüstrisinde yapay zekâ ve robotik teknolojiler AU - Kılıçhan, Reha AU - Yılmaz, Mustafa PY - 2020 DA - December Y2 - 2020 DO - 10.48070/erusosbilder.838193 JF - Erciyes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi JO - ERÜSOSBİLDER PB - Erciyes Üniversitesi WT - DergiPark SN - 1300-1582 SP - 353 EP - 380 IS - 50 LA - en AB - Artificial intelligence applications and robotic technologies, which are rapidly spreading and widely used throughout the world, are discussed by different disciplines in the literature. The field of tourism draws attention as one of the disciplines in which studies on these issues have been carried out in recent years. In this context, robots come to the fore in the application areas of the tourism sector. However, it is known that there are many artificial intelligence applications that are becoming widespread or likely to become widespread day by day in the tourism sector. From this point of view, in this conceptual study, firstly artificial intelligence applications and robotic technologies were evaluated, the development of these technologies was revealed, then the current technologies used in the tourism and hospitality industry were examined, and as a result, the future of these technologies in the tourism and hospitality industry was discussed. In this context, it can be said that this study, in which the current situation is revealed and sector-experienced writers make inferences for the future, is an important study that can contribute to the literature and industry practitioners. KW - Artificial Intelligence KW - AI KW - Robotic Technologies KW - Tourism N2 - Dünya genelinde hızla yayılan ve yaygın olarak kullanılmaya başlanan yapay zekâ uygulamaları ile robotik teknolojiler konularının literatürde farklı disiplinlerce ele alındığı görülmektedir. Turizm alanı da bu konularda son yıllarda çalışmaların gerçekleştirildiği disiplinlerden biri olarak dikkat çekmektedir. Bu bağlamda, turizm sektörünün uygulama alanlarında robotlar ön plana çıkmaktadır. Ancak turizm sektöründe her geçen gün kullanımı giderek yaygınlaşan veya yaygınlaşma ihtimali olan pek çok yapay zekâ uygulamalarının da olduğu bilinmektedir. Bu noktadan hareketle, kavramsal bir çalışma özelliği taşıyan bu çalışmada literatürden hareketle, öncelikle yapay zekâ uygulamaları ve robotik teknolojiler değerlendirilmiş, bu teknolojilerinin gelişimi ortaya konulmuş, ardından turizm ve ağırlama endüstrisinde kullanılan güncel teknolojiler irdelenmiş ve sonuç olarak bu teknolojilerin turizm ve ağırlama endüstrisindeki geleceği tartışılmıştır. Bu bağlamda, mevcut durumun ortaya konulduğu ve sektör deneyimli yazarların geleceğe dönük çıkarımlarda bulunduğu bu çalışmanın literatüre ve sektör uygulayıcılarına katkılar sağlayabilecek nitelikte önemli bir çalışma olduğu söylenebilir. CR - Abadicio, M. (2019, November 22). AI in the travel and tourism industry – Current applications. https://emerj.com/ai-sector-overviews/ai-travel-tourism-industry-current-applications/ CR - Abu Shawar, B., & Atwell, E. (2007). Chatbots: Are they really useful?. LDV-Forum, 22(1), 29–49. CR - Alom, M. Z., Taha, T. M., Yakopcic, C., Westberg, S., Sidike, P., Nasrin, M. S., … Asari, V. K. (2019). A state-of-the-art survey on deep learning theory and architectures. Electronics, 8, 292, 1–66. https://doi.org/10.3390/electronics8030292 CR - Alpaydin, E. (2014). Introduction to machine learning (Third Ed.). The MIT Press. CR - Ang, B. (2016, February 07). Robot Lucy at your service at newly opened Rong Heng Seafood. https://www.straitstimes.com/lifestyle/food/robot-lucy-at-your-service-at-newly- opened-rong-heng-seafood CR - Assaf, A. G., & Tsionas, M. G. (2019). Forecasting occupancy rate with bayesian compression methods. Annals of Tourism Research, 75, 439–449. https://doi.org/10.1016/j.annals.2018.12.009 CR - Barry, C., & Pele, C. (2018, April 02). Meet Italy’s robot concierge. https://www.stuff.co.nz/travel/news/102771691/meet-italys-robot-concierge CR - Berezina, K., Ciftci, O., & Cobanoglu, C. (2019). Robots, Artificial Intelligence, and Service Automation in Restaurants. In S. Ivanov & C. Webster (Eds.), Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality (pp. 185–219). Emerald Publishing Limited. CR - Berliner, H. J., & Ebeling, C. (1990). Hitech. In T. A. Marsland & J. Schaeffer (Eds.), Computers, Chess, and Cognition (pp. 79–109). Springer. CR - Buchanan, B., Sutherland, G., & Feigenbaum, E. A. (1969). Heuristic DENDRAL - A program for generating explanatory hypotheses in organic chemistry. In B. Meltzer & D. Michie (Eds.), Machine Intelligence 4 (pp. 209–254). Edinburgh University Press. CR - CAICT. (2018). 2018 world artificial intelligence industry development blue book. http://www.caict.ac.cn/kxyj/qwfb/bps/201809/P020180918696200669434.pdf CR - Chen, H. (2019). Success factors impacting artificial intelligence adoption --- Perspective from the telecom industry in China. [Unpublished Doctoral Dissertation]. Department of Business Administration-Information Technology, Old Dominion University. CR - Chen, K. Y., & Wang, C. H. (2007). Support vector regression with genetic algorithms in forecasting tourism demand. Tourism Management, 8(1), 215–226. https://doi.org/10.1016/j.tourman.2005.12.018 CR - Chen, R., Liang, C. Y., Hong, W. C., & Gu, D. X. (2015). Forecasting holiday daily tourist flow based on seasonal support vector regression with adaptive genetic algorithm. Applied Soft Computing Journal, 26, 435–443. https://doi.org/10.1016/j.asoc.2014.10.022 CR - Cheong, A., Lau, M. W. S., Foo, E., Hedley, J., & Bo, J. W. (2016). Development of a robotic waiter system. IFAC-PapersOnLine, 49(21), 681–686. https://doi.org/10.1016/j.ifacol.2016.10.679 CR - Chestler, D. (2016). The future is now: How robots are storming the travel industry. https://www.siteminder.com/r/trends-advice/hotel-travel-industry-trends/future-robots-storming- travel-industry/ CR - CHIP Online. (2018, March 2018). Divan İstanbul’da akıllı otel deneyimi yaşanıyor. https://www.chip.com.tr/haber/divan-istanbulda-akilli-otel-deneyimi-yasaniyor_74904.html CR - Chow, W. S., Shyu, J. C., & Wang, K. C. (1998). Developing a forecast system for hotel occupancy rate using integrated ARIMA models. Journal of International Hospitality, Leisure & Tourism Management, 1(3), 55–80. https://doi.org/10.1300/J268v01n03_05 CR - Clarke, R. (2014). Understanding the drone epidemic. Computer Law and Security Review, 30(3), 230–246. https://doi.org/10.1016/j.clsr.2014.03.002 CR - Claveria, O., Monte, E., & Torra, S. (2015). Tourism demand forecasting with neural network models: Different ways of treating information. International Journal of Tourism Research, 17, 492–500. https://doi.org/10.1002/jtr.2016 CR - CRM Medya Turizm. (2020, November 18). Otelcilik Sektöründe Yapay Zeka Uygulamaları. https://www.crmturizm.com/otelcilik-sektorunde-yapay-zeka-uygulamalari/ CR - Crook, J. (2014, August 13). Starwood introduces robotic butlers at aloft hotel in Cupertino. https://techcrunch.com/2014/08/13/starwood-introduces-robotic-butlers-at-aloft-hotel- in-palo-alto/#:~:text=Starwood%2C%20one%20of%20the%20world's,around%20guests%20and%20use%20elevators CR - Davis, L. K. (2016, March 9). Hilton and IBM pilot “Connie,” The world’s first Watson-enabled hotel concierge robot. https://www.ibm.com/blogs/watson/2016/03/watson-connie/ CR - Deloitte. (2018). Global artificial intelligence industry whitepaper. https://www2.deloitte.com/cn/en/pages/technology-media-and-telecommunications/articles/global-ai- development-white-paper.html# CR - Donaire, J. A., Galí, N., & Gulisova, B. (2020). Tracking visitors in crowded spaces using zenith images: Drones and time-lapse. Tourism Management Perspectives, 35, 100680. https://doi.org/10.1016/j.tmp.2020.100680 CR - Elkins, K. (2015, May 07). This restaurant has a new secret weapon: A robot that slices the perfect noodle faster than any human. https://www.businessinsider.in/This-restaurant- has-a-new-secret-weapon-a-robot-that-slices-the-perfect-noodle-faster-than-any-human/articleshow/47188856.cms CR - Fesenmaier, D. R., Xiang, Z., Pan, B., & Law, R. (2011). A framework of search engine use for travel planning. Journal of Travel Research, 50(6), 587–601. https://doi.org/10.1177/0047287510385466 CR - Filloon, W. (2016, July 19). Bratwurst-cooking robot is a feat of German engineering. https://www.eater.com/2016/7/19/12227128/bratwurst-robot-sausage-cooking-germany CR - Future Travel Experience. (2013, August). Customer service robots becoming a reality for airports and airlines. https://www.futuretravelexperience.com/2013/08/customer- service-robots-becoming-a-reality-for-airports-and-airlines/ CR - Gil, D., Hobson, S., Mojsilović, A., Puri, R., & Smith, J. R. (2020). AI for management: An overview. In J. Canals & F. Heukamp (Eds.). The Future of Management in an AI World (pp. 03–19). IESE Business Collection. CR - Giuliani, M., Petrick, R. P. A., Foster, M. E., Gaschler, A., Isard, A., Pateraki, M., & Sigalas, M. (2013, December). Comparing task-based and socially intelligent behaviour in a robot bartender. Paper presented at the ICMI 2013 – 2013 ACM International Conference on Multimodal Interaction (pp. 263–270). http://dx.doi.org/10.1145/2522848.2522869 CR - Hilton Worldwide. (2016, March 09). Hilton and IBM pilot “Connie,” The world’s first Watson-enabled hotel concierge. https://newsroom.hilton.com/corporate/news/hilton-and-ibm- pilot-connie-the-worlds-first-watsonenabled-hotel-concierge CR - Hong, W. C., Dong, Y., Chen, L. Y., & Wei, S. Y. (2011). SVR with hybrid chaotic genetic algorithms for tourism demand forecasting. Applied Soft Computing Journal, 11(2), 1881–1890. https://doi.org/10.1016/j.asoc.2010.06.003 CR - Hotelmanagement.net. (2016, December 20). Wynn Las Vegas adds Amazon Echo to all guestrooms. https://www.hotelmanagement.net/tech/wynn-las-vegas-adds-amazon- echo-to-all-hotel-rooms CR - Hristova, Y. (2019). Face recognition for the hospitality industry. https://roombre.com/en/blog/hotel-technology/face-recognition-for-the-hospitality-industry.html CR - Hu, W., Singh, R. R. P., & Scalettar, R. T. (2017). Discovering phases, phase transitions, and crossovers through unsupervised machine learning: A critical examination. Physical Review E, 95(6), 062122. https://doi.org/10.1103/PhysRevE.95.062122 CR - Huang, T., Chen, C. C., & Schwartz, Z. (2019). Do I book at exactly the right time? Airfare forecast accuracy across three price-prediction platforms. Journal of Revenue and Pricing Management, 18, 281–290. https://doi.org/10.1057/s41272-019-00193-7 CR - Hwang, J., & Kim, H. (2019). Consequences of a green image of drone food delivery services: The moderating role of gender and age. Business Strategy and the Environment, 28, 872–884. https://doi.org/10.1002/bse.2289 CR - Hwang, J., Cho, S. B., & Kim, W. (2019). Consequences of psychological benefits of using eco-friendly services in the context of drone food delivery services. Journal of Travel and Tourism Marketing, 36(7), 835–846. https://doi.org/10.1080/10548408.2019.1586619 CR - Hwang, J., Kim, H., & Kim, W. (2019). Investigating motivated consumer innovativeness in the context of drone food delivery services. Journal of Hospitality and Tourism Management, 38, 102–110. https://doi.org/10.1016/j.jhtm.2019.01.004 CR - Hwang, J., Kim, W., & Kim, J. J. (2020). Application of the value-belief-norm model to environmentally friendly drone food delivery services: The moderating role of product involvement. International Journal of Contemporary Hospitality Management, 32(5), 1775-1794. https://doi.org/10.1108/IJCHM-08-2019-0710 CR - Hwang, J., Lee, J. S., & Kim, H. (2019). Perceived innovativeness of drone food delivery services and its impacts on attitude and behavioral intentions: The moderating role of gender and age. International Journal of Hospitality Management, 81, 94–103. https://doi.org/10.1016/j.ijhm.2019.03.002 CR - International Federation of Robotics [IFR]. (2020, August 24). Topics and Definitions. https://ifr.org/ CR - Ivanov, S., & Webster, C. (2017, October 19-21). Adoption of robots, artificial intelligence and service automation by travel, tourism and hospitality companies – a cost-benefit analysis. Paper presented at the International Scientific Conference on Contemporary Tourism – Traditions and Innovations, Sofia University (pp. 1-9). https://ssrn.com/abstract=3007577 CR - Ivanov, S., & Webster, C. (2019). Conceptual framework of the use of robots, artificial intelligence and service automation in travel, tourism, and hospitality companies. In S. Ivanov & C. Webster, (Eds.), Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality (pp. 7-37). Emerald Publishing Limited. CR - Ivanov, S., & Webster, C. (2020). Robots in tourism: A research agenda for tourism economics. Tourism Economics, 26(7), 1065–1085. https://doi.org/10.1177/1354816619879583 CR - Ivanov, S., Webster, C., & Berezina, K. (2017). Adoption of robots and service automation by tourism and hospitality companies. Revista Turismo & Desenvolvimento, 27(28), 1501–1517. https://ssrn.com/abstract=2964308 CR - iTranslate. (2020, October 17). iTranslate Translator. https://itranslate.com/apps CR - Joshi, A. V. (2020). Essential Concepts in Artificial Intelligence and Machine Learning. In A. V. Joshi (Ed.). Machine Learning and Artificial Intelligence (pp.9-20). Springer Nature Switzerland. CR - Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62, 15–25. https://doi.org/10.1016/j.bushor.2018.08.004 CR - Kim, M., & Qu, H. (2014). Travelers’ behavioral intention toward hotel self-service kiosks usage. International Journal of Contemporary Hospitality Management, 26(2), 225–245. https://doi.org/10.1108/IJCHM-09-2012-0165 CR - Kon, S. C., & Turner, L. W. (2005). Neural network forecasting of tourism demand. Tourism Economics, 11(3), 301–328. https://doi.org/10.5367/000000005774353006 CR - Kuo, C. M., Chen, L. C., & Tseng, C. Y. (2017). Investigating an innovative service with hospitality robots. International Journal of Contemporary Hospitality Management, 29(5), 1305-1321. https://doi.org/10.1108/IJCHM-08-2015-0414 CR - Law, R. (1998). Room occupancy rate forecasting: A neural network approach. International Journal of Contemporary Hospitality Management, 10(6), 234–239. https://doi.org/10.1108/09596119810232301 CR - Law, R. (2000). Back-propagation learning in improving the accuracy of neural network-based tourism demand forecasting. Tourism Management, 21(4), 331–340. https://doi.org/10.1016/S0261-5177(99)00067-9 CR - Law, R., & Au, N. (1999). A neural network model to forecast Japanese demand for travel to Hong Kong. Tourism Management, 20, 89–97. https://doi.org/10.1016/S0261- 5177(98)00094-6 CR - Law, R., Li, G., Fong, D. K. C., & Han, X. (2019). Tourism demand forecasting: A deep learning approach. Annals of Tourism Research, 75, 410–423. https://doi.org/10.1016/j.annals.2019.01.014 CR - Lewis-Kraus, G. (2016, February 03). Check in with the velociraptor at the world’s first robot hotel. https://www.wired.com/2016/03/robot-henn-na-hotel-japan/ CR - Li, X., Pan, B., Law, R., & Huang, X. (2017). Forecasting tourism demand with composite search index. Tourism Management, 59, 57–66. https://doi.org/10.1016/j.tourman.2016.07.005 CR - Lin, J. (2017). Robots are taking Singapore’s hotel industry by storm – here’s where to go for some robot hospitality. Retrieved June 1, 2020, from https://www.businessinsider.com/robots-are-taking-singapores-hotel-industry-by-storm-heres-where-to-go-for-some-robot-hospitality CR - Lui, K. (2016, November 16). Watch Domino’s pull off the world’s first commercial pizza delivery by drone. https://fortune.com/2016/11/16/dominos-new-zealand-first-commercial- pizza-delivery-drone/ CR - Markoff, J. (2014, August 11). ‘Beep,’ says the bellhop. https://www.nytimes.com/2014/08/12/technology/hotel-to-begin-testing-botlr-a-robotic-bellhop.html CR - Marston, J. (2017, December 21). Quick-service restaurants are quickly turning to facial recognition. https://thespoon.tech/quick-service-restaurants-are-quickly-turning-to-facial- recognition/ CR - Martin, E. (2018, March 21). Here’s exactly when to buy plane tickets to get the best deals. https://www.cnbc.com/2018/03/21/best-time-to-get-cheap-plane-tickets.html CR - McCarthy, J. (2007, November 12). What is artificial intelligence?. http://jmc.stanford.edu/articles/whatisai/whatisai.pdf CR - McCorduck, P. (2004). Machines who think : A personal inquiry into the history and prospects of artificial intelligence. A K Peters/CRC Press. CR - Melián-González, S., Gutiérrez-Taño, D., & Bulchand-Gidumal, J. (2019). Predicting the intentions to use chatbots for travel and tourism. Current Issues in Tourism. https://doi.org/10.1080/13683500.2019.1706457 CR - Microsoft. (2020, October 17). Microsoft Translator. https://translator.microsoft.com/ CR - Millward, S. (2015, February 10). Singapore restaurant shows off autonomous drone waiters. https://www.techinasia.com/singapore-restaurant-autonomous-drone-waiters CR - Murphy, J., Hofacker, C., & Gretzel, U. (2017). Dawning of the age of robots in hospitality and tourism: Challenges for teaching and research. European Journal of Tourism Research, 15, 104–111. CR - Neapolitan, R. E., & Jiang, X. (2018). Artificial Intelligence with an Introduction to Machine Learning (Second Ed.). CRC Press Taylor & Francis Group. CR - Nicas, J., & Michaels, D. (2012, August 28). The Self-Service Airport. https://www.wsj.com/articles/SB10000872396390443545504577567501420272414 CR - Niculescu, A. I., Jiang, R., Kim, S., Yeo, K. H., D’Haro, L. F., Niswar, A., & Banchs, R. E. (2014, August 27-29). SARA: Singapore’s automated responsive assistant, a multimodal dialogue system for touristic information. Paper presented at the 11th International Conference on Mobile Web and Information Systems, MobiWIS 2014 (pp. 153-164). https://doi.org/10.1007/978-3-319-10359-4_13 CR - Oxford Learner’s Dictionaries. (2020, October 16). Drone. https://www.oxfordlearnersdictionaries.com/definition/english/drone_1?q=drone CR - Özen, I. A. (2020). Internet of things in tourism: A proposal of the information system for Cappadocia hot-air ballooning. In E. Çeltek (Ed.). Handbook of Research on Smart Technology Applications in the Tourism Industry (pp. 131-154). IGI Global. CR - Pan, B., & Yang, Y. (2017). Forecasting destination weekly hotel occupancy with big data. Journal of Travel Research, 56(7), 957–970. https://doi.org/10.1177/0047287516669050 CR - Park, S. (2020). Multifaceted trust in tourism service robots. Annals of Tourism Research, 81, 102888. https://doi.org/10.1016/j.annals.2020.102888 CR - Phaneuf, A. (2020, February 12). 7 real examples of brands and businesses using chatbots to gain an edge. https://www.businessinsider.com/business-chatbot-examples CR - Pinillos, R., Marcos, S., Feliz, R., Zalama, E., & Gómez-García-Bermejo, J. (2016). Long-term assessment of a service robot in a hotel environment. Robotics and Autonomous Systems, 79, 40–57. https://doi.org/10.1016/j.robot.2016.01.014 CR - Rajagopal, A. (2019, November 12). Singapore hotels help make a case for facial recognition tech. https://hospitalitytech.com/singapore-hotels-help-make-case-facial- recognition-tech CR - Rasmussen, C. E., & Williams, C. K. I. (2006). Gaussian Processes for Machine Learning. The MIT Press. CR - Revfine. (2020, October 15). 4 ways facial recognition can be used in the travel industry. https://www.revfine.com/facial-recognition-travel-industry/ CR - ReviewPro. (2016, September 21). Are robots changing the way that guest experience is measured in the hotel industry?. https://www.reviewpro.com/blog/robots-changing-way- guest-experience-measured-hotel-industry/ CR - Ritter, C. (2019). User-based barriers to the adoption of artificial intelligence in healthcare. [Unpublished Doctoral Dissertation]. Department of Business Administration, Capella University. CR - Russel, S., & Norvig, P. (2016). Artificial intelligence—A modern approach (3rd Edition). Pearson Education Limited. CR - Samala, N., Katkam, B. S., Bellamkonda, R. S., & Rodriguez, R. V. (2020). Impact of AI and robotics in the tourism sector: A critical insight. Journal of Tourism Futures. https://doi.org/10.1108/JTF-07-2019-0065 CR - Saygin, A. P., Cicekli, I., & Akman, V. (2000). Turing test: 50 years later. Minds and Machines, 10(4), 463–518. https://doi.org/10.1023/A:1011288000451 CR - SayHi. (2020, October 17). SayHi. https://www.sayhi.com/tr/translate/ CR - Schwab, K. (2016). The Fourth Industrial Revolution. World Economic Forum. CR - Schwahn, L. (2017, October 23). When is the best time to buy airline tickets?. https://www.nerdwallet.com/article/finance/best-time-to-buy-plane-tickets CR - Shamim, S., Cang, S., Yu, H., & Li, Y. (2017). Examining the feasibilities of industry 4.0 for the hospitality sector with the lens of management practice, Energies, 10(4), 1-19. https://doi.org/10.3390/en10040499 CR - Sloan, G. (2014, November 01). Robot bartenders? This new cruise ship has them. https://www.freep.com/story/cruiselog/2014/11/01/quantum-robot-bar-cruise/18308319/ CR - Stankov, U., Kennell, J., Morrison, A. M., & Vujičić, M. D. (2019). The view from above: The relevance of shared aerial drone videos for destination marketing. Journal of Travel and Tourism Marketing, 36(7), 808–822. https://doi.org/10.1080/10548408.2019.1575787 CR - Sushirobo.com. (2020, June 12). Sushi Machines. https://sushirobo.com/ CR - Sutton, R. S., & Barto, A. G. (2018). Reinforcement Learning, Second Edition: An Introduction - Complete Draft (Second Ed.). The MIT Press. CR - The International Organization for Standardization [ISO]. (2012). ISO 8373:2012(en) Robots and robotic devices — Vocabulary. https://www.iso.org/obp/ui/#iso:std:iso:8373:ed- 2:v1:en CR - Troitino, C. (2018, June 21). Meet the world’s first fully automated burger robot: Creator debuts the big mac killer. https://www.forbes.com/sites/christinatroitino/2018/06/21/meet- the-worlds-first-fully-automated-burger-robot-creator-debuts-the-big-mac-killer/#1dcfa0a06a89 CR - Tsang, W. K., & Benoit, D. F. (2020). Gaussian processes for daily demand prediction in tourism planning. Journal of Forecasting, 39(3), 551–568. https://doi.org/10.1002/for.2644 CR - Tsaur, R. C., & Kuo, T. C. (2011). The adaptive fuzzy time series model with an application to Taiwan’s tourism demand. Expert Systems with Applications, 38(8), 9164–9171. https://doi.org/10.1016/j.eswa.2011.01.059 CR - Tung, V. W. S., & Au, N. (2018). Exploring customer experiences with robotics in hospitality. International Journal of Contemporary Hospitality Management, 30(7), 2680–2697. https://doi.org/10.1108/IJCHM-06-2017-0322 CR - Turing, A. M. (1950). Computing machinery and intelligence-AM Turing. Mind, 59(236), 433–460. CR - Tussyadiah, I. (2020). A review of research into automation in tourism: Launching the annals of tourism research curated collection on artificial intelligence and robotics in tourism. Annals of Tourism Research, 81, 102883. https://doi.org/10.1016/j.annals.2020.102883 CR - Tussyadiah, I. P., Zach, F. J., & Wang, J. (2020). Do travelers trust intelligent service robots? Annals of Tourism Research, 81, 102886. https://doi.org/10.1016/j.annals.2020.102886 CR - Wang, C. H. (2004). Predicting tourism demand using fuzzy time series and hybrid grey theory. Tourism Management, 25, 367–374. https://doi.org/10.1016/S0261- 5177(03)00132-8 CR - Wang, L. (2016). Discovering phase transitions with unsupervised learning. Physical Review B, 94(19), 195105. https://doi.org/10.1103/PhysRevB.94.195105 CR - Wolfe, F. (2019, October 10). Facial-recognition tech creates service, security options. https://www.hotelmanagement.net/tech/facial-recognition-tech-creates-service-security- options CR - Wu, L. (2017, December 31). Big burger is watching you, and other ways facial recognition software is entering foodservice. https://www.forbes.com/sites/lesliewu/2017/12/31/big-burger-is-watching-you-and-other-ways-facial-recognition-software-is-entering-foodservice/ CR - Yamazaki, K., Yamazaki, A., Okada, M., Kuno, Y., Kobayashi, Y., Hoshi, Y., … Heath, C. (2009, April 04-09). Revealing gauguin: Engaging visitors in robot guide’s explanation in an art museum. Paper presented at the 27th Annual CHI Conference on Human Factors in Computing Systems (pp. 1437-1446). CR - Yang L., Henthorne T.L., & George B. (2020). Artificial intelligence and robotics technology in the hospitality industry: Current applications and future trends. In B. George & J. Paul (Eds.). Digital Transformation in Business and Society (pp. 211-228). Palgrave Macmillan. CR - Yıldız, S. (2019). Turist rehberliği mesleğinde robot rehberlerin yükselişi. Süleyman Demirel Üniversitesi Vizyoner Dergisi, 10(23), 164–177. https://doi.org/10.21076/vizyoner.481225 CR - Yotel New York. (2020, June 18). Everything you need, and nothing you don’t. https://www.yotel.com/en/hotels/yotel-new-york/your-stay CR - Zalama, E., García-Bermejo, J. G., Marcos, S., Domínguez, S., Feliz, R., Pinillos, R., & López, J. (2014). Sacarino, a service robot in a hotel environment. In M. Armada, A. Sanfeliu & M. Ferre (Eds.) Robot 2013: First Iberian Robotics Conference (vol. 2) - Advances in Intelligent Systems and Computing (pp. 3–14). Springer. https://doi.org/10.1007/978-3-319-03653-3_1 UR - https://doi.org/10.48070/erusosbilder.838193 L1 - http://dergipark.org.tr/tr/download/article-file/1439448 ER -