Abstract
Technological evolution and advances in the field of artificial intelligence have brought about considerable transformations in every area of our lives, also changing our various needs. In particular, the ever-increasing development and use of messaging applications have enabled the growth of services closer to users, as they can be seen as excellent means of advertising, sales and customer service. This is precisely why business models have changed drastically, moving towards new technologies such as ChatBots. The messaging applications nowadays are used daily while ensuring that they can keep up with the pace of this increasingly hectic and demanding world thanks to their 24/7 availability, low costs and customised real-time services. This paper aims to provide a general description and design principle of a ChatBot, designed and developed for the CREA2 (Conflict Resolution with Equitative Algorithms) platform, which includes the management and automatic resolution of disputes concerning the division of assets, trying to avoid costs and bureaucracy.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
IEEE Recommended Practice for Software Requirements Specifications IEEE Std 830–1993 (Revision of IEEE Std 830–1984). https://ieeexplore.ieee.org/document/392555/definitions
Bradner, S.: Key words for use in RFCs to Indicate Requirement Levels. Request for Comments: 2119. Harvard University. https://www.ietf.org/rfc/rfc2119.txt
SRS Examples. Annarita Fasolino. http://wpage.unina.it/fasolino/is/materiale/SRS/SRS-esempio.pdf
Chatbot Magazine. chatbotsmagazine.com. https://chatbotsmagazine.com/how-to-document-chatbot-requirements-7df81275cc66. Accessed 30 June 2022
Amato, F., Moscato, F., Moscato, V., Pascale, F., Picariello, A.: An agent-based approach for recommending cultural tours. Pattern Recognit. Lett. 131, 341–347 (2020)
Amato, F., Casillo, M., Colace, F., De Santo, M., Lombardi, M., Santaniello, D.: Chat: a cultural heritage adaptive tutor. In: 2019 IEEE International Conference on Engineering, Technology and Education (TALE), pp. 1–5. IEEE, December 2019
Lalwani, T., Bhalotia, S., Pal, A., Rathod, V., Bisen, S.: Implementation of a chatbot system using AI and NLP. Int. J. Innov. Res. Comput. Sci. Technol. (IJIRCST), 6(3) (2018)
Almansor, E.H., Hussain, F.K.: Survey on intelligent chatbots: state-of-the-art and future research directions. In: Barolli, L., Hussain, F., Ikeda, M. (eds.) CISIS 2019. AISC, vol. 993, pp. 534–543. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-22354-0_47
Toxtli, C., Monroy-Hernández, A., Cranshaw, J.: Understanding chatbot-mediated task management. In: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, pp. 1–6, April 2018
Balzano, W., Lapegna, M., Stranieri, S., Vitale, F.: Competitive blockchain-based parking system with fairness constraints. Soft Comput. 26(9), 4151–4162 (2022)
Stranieri, S.: An indoor smart parking algorithm based on fingerprinting. Future Internet 14(6) (2022)
Maubert, B., et al.: Concurrent games in dynamic epistemic logic. In: Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence (2021)
ai4business.co.uk. https://www.ai4business.it/robotica/chatbot/chatbot-cosa-cosa-ce-dietro-successo/#Il_mercato_internazionale_delle_chatbot. Accessed 04 June 2022
Amato, A., Cozzolino, G., Ferraro, A.: Artificial intelligent chatbot for food related question. In: Barolli, L., Takizawa, M., Yoshihisa, T., Amato, F., Ikeda, M. (eds.) 3PGCIC 2020. LNNS, vol. 158, pp. 235–240. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-61105-7_23
Amato, A., Cozzolino, G., Ferraro, A.: A smart interface for provisioning of food and health advices. In: Barolli, L., Takizawa, M., Yoshihisa, T., Amato, F., Ikeda, M. (eds.) 3PGCIC 2020. LNNS, vol. 158, pp. 241–250. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-61105-7_24
Di Martino, B., Moscato, F.: An ontology based methodology for automated algorithms recognition in source code. In: 2010 International Conference on Complex, Intelligent and Software Intensive Systems. IEEE (2010)
Castiglione, A., Cozzolino, G., Moscato, F., Moscato, V.: Cognitive analysis in social networks for viral marketing. IEEE Trans. Ind. Inform. 17(9), 6162–6169 (2020)
Acknowledgments
This paper has been partially produced with the financial support of the European Union - JUSTICE Programme (under grant agreement no. 101046629/CREA2 Project). Views and opinions expressed are however those of the author (s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the granting authority can be held responsible for them.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Amato, F., Barolli, L., Cozzolino, G., Ferraro, A., Giacalone, M. (2023). An Intelligent Interface for Human-Computer Interaction in Legal Domain. In: Barolli, L. (eds) Advances on P2P, Parallel, Grid, Cloud and Internet Computing. 3PGCIC 2022. Lecture Notes in Networks and Systems, vol 571. Springer, Cham. https://doi.org/10.1007/978-3-031-19945-5_24
Download citation
DOI: https://doi.org/10.1007/978-3-031-19945-5_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-19944-8
Online ISBN: 978-3-031-19945-5
eBook Packages: EngineeringEngineering (R0)