[
Ali, G., Le, H. Q., Kim, J. et al. (2019). Design of Seamless Multi-modal Interaction Framework for Intelligent Virtual Agents in Wearable Mixed Reality Environment. In Proceedings of the 32nd International Conference on Computer Animation and Social Agents (CASA ‘19), pp 47–52. New York, USA: Association for Computing Machinery.10.1145/3328756.3328758
]Search in Google Scholar
[
Borda, A., Gaia, G., & Bioano, S. (2018). Chatbots in museums: hype or opportunity? [2022-04-10] Retrieved from https://www.researchgate.net/publication/324439065_Chatbots_in_museums_hype_or_opportunity.
]Search in Google Scholar
[
Caggianese, G., De Pietro, G. et al. (2020). Discovering Leonardo with Artificial Intelligence and Holograms: A User Study. Pattern Recognition Letters, 131. DOI: 10.1016/j.patrec.2020.01.006.
]Open DOISearch in Google Scholar
[
Cassilo, M. et al. (2020). CHAT-Bot: A cultural heritage aware teller-bot for supporting touristic experiences. Pattern Recognition Letters, 131, 234-243. DOI: 10.1016/j.patrec.2020.01.003.
]Open DOISearch in Google Scholar
[
Calvaresi, D., Ibrahim, A. et al. (2021). The Evolution of Chatbots in Tourism: A Systematic Literature Review. In Wörndl, W., Koo, C., Stienmetz, J.L. (Eds), Information and Communication Technologies in Tourism 2021, pp 3-16. Springer, Cham. DOI: 10.1007/978-3-030-65785-7_1.
]Open DOISearch in Google Scholar
[
Conejos, F. (2020). How Can Chatbots Improve Customer Experience? [2022-02-08] Retrieved from https://www.processmaker.com/blog/how-chatbots-improve-customer-experience/.
]Search in Google Scholar
[
Dahiya, M. (2017). A tool of conversation: Chatbot. International Journal of Computer Sciences and Engineering, 5(5), 158–161.
]Search in Google Scholar
[
Gaia, G., Boiano, S., Borda, A. (2019) Engaging Museum Visitors with AI: The Case of Chatbots. In Giannini, T., Bowen, J. (Eds), Museums and Digital Culture. Springer Series on Cultural Computing, pp 309-329. Springer, Cham.10.1007/978-3-319-97457-6_15
]Search in Google Scholar
[
Goover, K. (2020). 16 KPIs to Measure Chatbot Effectiveness. [2022-03-25] Retrieved from https://www.lyntonweb.com/inbound-marketing-blog/16-kpis-to-measure-chatbot-effectiveness.
]Search in Google Scholar
[
Jaramillo, J.C., Occhiuto, D., Garzotto, F. (2018). Artworks’ Features Discovery Through Engaging Conversations for Children. IOP Conference Series: Materials Science and Engineering, 364 (1).10.1088/1757-899X/364/1/012097
]Search in Google Scholar
[
Jenneboer, L.; Herrando, C.; Constantinides, E. (2022) The Impact of Chatbots on Customer Loyalty: A Systematic Literature Review. Journal of Theoretical and Applied Electronic Commerce Research, 17, 212-229. DOI: 10.3390/jtaer17010011.
]Open DOISearch in Google Scholar
[
Kölbl, A. (2018). Talk to me! Chatbots in Museums: A Chronological Overview. [online, 2022-04-15]. Retrieved from https://zkm.de/en/talk-to-me-chatbots-in-museums.
]Search in Google Scholar
[
Moran, M. (2022). 25 Top Chatbot Statistics For 2022: Usage, Demographics Trends. [online, 2022-04-10]. Retrieved from https://startupbonsai.com/chatbot-statistics/.
]Search in Google Scholar
[
Noh, Y.G., Hong, J.H. (2021) Designing Reenacted Chatbots to Enhance Museum Experience. Applied Sciences, 11(16), 7420.10.3390/app11167420
]Search in Google Scholar
[
Nißen, M. et al. (2022). See you soon again, chatbot? A design taxonomy to characterize user-chatbot relationships with different time horizons. Computers in Human Behavior, 127, 107043. DOI: 10.1016/j.chb.2021.107043.
]Open DOISearch in Google Scholar
[
Page, M.J. et al. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372 (71). DOI: 10.1136/bmj.n71.800592433782057
]Open DOISearch in Google Scholar
[
Roth, L. (2021). 6 essential KPIs to Track Through Yout Chatbot Analytics. [online, 2022-04-15]. Retrieved from https://blog.alexa.com/chatbot-analytics/.
]Search in Google Scholar
[
Roussou, M., Perry, S. et al. (2019). Transformation through Provocation? Proc. of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ‘19), 627, 1–13.10.1145/3290605.3300857
]Search in Google Scholar
[
Schaffer, S. et al. (2022). Questions and Answers: Important Steps to Let AI Chatbots Answer Questions in the Museum. In Wölfel, M., Bernhardt, J. Thiel, S. (Eds), ArtsIT, Interactivity and Game Creation. Creative Heritage. New Perspectives from Media Arts and Artificial Intelligence. 10th EAI International Conference, ArtsIT 2021, Virtual Event, December 2-3, 2021, Proceedings. Springer.10.1007/978-3-030-95531-1_24
]Search in Google Scholar
[
Schatffer, S. et al. (2018). Towards chatbots in the museum. CEUR Workshop Proceedings, 2176.
]Search in Google Scholar
[
Skjiuve, M., Brandzaeg, P.B. (2019). Measuring User Experience in Chatbots: An Approach to Interpersonal Communication Competence. Internet Science. LNCS, 11551, Springer.10.1007/978-3-030-17705-8_10
]Search in Google Scholar
[
Todorov, G. (2022). 117 Amazing Chatbot Statistics 2022. [online, 2022-04-15]. Retrieved from https://thrivemyway.com/chatbot-statistics/.
]Search in Google Scholar
[
Varitimiadis, S., Kotis, K. et al. (2021) Graph-Based Conversational AI: Towards a Distributed and Collaborative Multi-Chatbot Approach for Museums. Applied Science, 11, 9160.10.3390/app11199160
]Search in Google Scholar
[
Varitimiadis, S., Kotis, K. et al. (2020). “Talking” Triples to Museum Chatbots. 2020. Culture and Computing. HCII 2020. Lecture Notes in Computer Science, 12215. DOI: 10.3390/app11199160.
]Open DOISearch in Google Scholar
[
Zhou, C., Sinha, B., Liu, M. (2020). An AI chatbot for the museum based on user Interaction over a knowledge base. In AIAM2020: Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture, pp 54–58. DOI: 10.1145/3421766.3421888.
]Open DOISearch in Google Scholar