Abstract
Artificial intelligence is transforming the way chatbots are created and used. The recent boom of artificial intelligence development is creating a whole new generation of intelligent approaches that enable a more efficient and effective design of chatbots. On the other hand, the increasing need and interest from the industry in artificial intelligence based solutions, is guaranteeing the necessary investment and applicational know-how that is pushing such solutions to a new dimension. Some relevant examples are e-commerce, health or education, which is the main focus of this work. This paper studies and analyses the impact that artificial intelligence models and solutions is having on the design and development of chatbots, when compared to the previously used approaches. Some of the most relevant current and future challenges in this domain are highlighted, which include language learning, sentiment interpretation, integration with other services, or data security and privacy issues.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Shawar, B.A., Atwell, E.: Chatbots: are they really useful? LDV Forum 22, 29–49 (2007)
Mejía, J., Rodríguez-Maldonado, I., Quiñonez, Y.: CHAT SPI: knowledge extraction proposal using DialogFlow for software process improvement in small and medium enterprises. In: Mejia, J., Muñoz, M., Rocha, Á., Quiñonez, Y. (eds.) New Perspectives in Software Engineering: Proceedings of the 9th International Conference on Software Process Improvement (CIMPS 2020), pp. 71–85. Springer International Publishing, Cham (2021). https://doi.org/10.1007/978-3-030-63329-5_5
Brandtzaeg, P.B., Følstad, A.: Why people use chatbots. In: Kompatsiaris, I., et al. (eds.) internet science, pp. 377–392. Springer International Publishing, Cham (2017). https://doi.org/10.1007/978-3-319-70284-1_30
Ranoliya, B.R., Raghuwanshi, N., Singh, S.: Chatbot for university related FAQs. In: 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 1525–1530 (2017)
Clark, L., et al.: The state of speech in HCI: trends, themes and challenges. Interact. Comput. 31, 349–371 (2019)
Claessen, V., Schmidt, A., Heck, T.: Virtual assistants in everything changes, everything stays the same? understanding information spaces. InL Proceedings of the 15th International Symposium of Information Science (ISI 2017), pp. 116– 130 (2017)
Őzcan, F., Quamar, A., Sen, J., Lei, C., Efthymiou, V.: State of the art and open challenges in natural language interfaces to data. In: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data, pp. 2629–2636 (2020)
Sabharwal, N, Agrawal, A.: Cognitive Virtual Assistants Using Google DialogFlow, pp. 55–117. Springer (2020)
Zhou, L., Shaikh, M., Zhang, D.: Natural language interface to mobile devices. In: International Conference on Intelligent Information Processing, pp. 283–286 (2004)
Adamopoulou, E., Moussiades, L.: Chatbots: History, technology, and applications. Mach. Learn. Appl. 2, 100006 (2020)
Kumar, R. Ali, M.M.: A review on chatbot design and implementation techniques. Int. J. Eng. Technol. 7 (2020)
Hung, P.D., Trang, D.T., Khai, T.: Integrating chatbot and RPA into enterprise applications based on open, flexible and extensible platforms. In: Luo, Y. (ed.) Cooperative Design, Visualization, and Engineering: 18th International Conference, CDVE 2021, Virtual Event, October 24–27, 2021, Proceedings, pp. 183–194. Springer International Publishing, Cham (2021). https://doi.org/10.1007/978-3-030-88207-5_18
Ferreira, D., Portela, F., Santos, M.: A step towards the use of chatbots to support the enterprise decision-making processes. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Correia, A.M.R. (eds.) Trends and Applications in Information Systems and Technologies: Volume 4, pp. 308–317. Springer International Publishing, Cham (2021). https://doi.org/10.1007/978-3-030-72654-6_30
Luo, B., Lau, R.Y., Li, C., Si, Y.-W.: A critical review of state-of-the-art chatbot designs and applications. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 12, e1434 (2022)
Yang, Z., et al.: An empirical study of gpt-3 for few-shot knowledge-based vqa. arXiv preprint arXiv:2109.05014 (2021)
Hristidis, V.: Chatbot technologies and challenges. In: 2018 First International Conference on Artificial Intelligence for Industries (AI4I), pp. 126–126 (2018)
Acknowledgment
This work was supported by the RD Project “Continental Factory of Future, (CONTINENTAL FoF)/POCI-01-0247-FEDER-047512”, financed by the European Regional Development Fund (ERDF), through the Program “Programa Operacional Competitividade e Internacionalização (POCI) / PORTUGAL 2020”, under the management of aicep Portugal Global – Trade Investment Agency.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Duduka, J., Reis, A., Pereira, R., Pires, E., Sousa, J., Pinto, T. (2022). The Impact of Artificial Intelligence on Chatbot Design. In: Reis, A., Barroso, J., Martins, P., Jimoyiannis, A., Huang, R.YM., Henriques, R. (eds) Technology and Innovation in Learning, Teaching and Education. TECH-EDU 2022. Communications in Computer and Information Science, vol 1720. Springer, Cham. https://doi.org/10.1007/978-3-031-22918-3_39
Download citation
DOI: https://doi.org/10.1007/978-3-031-22918-3_39
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-22917-6
Online ISBN: 978-3-031-22918-3
eBook Packages: Computer ScienceComputer Science (R0)