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A Chatbot Generator for Improved Digital Governance

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Information Systems (EMCIS 2023)

Abstract

Chatbots, the pioneering conversational artificial intelligence (AI) agents, have experienced remarkable growth and integration in various domains. In modern societies, chatbots have emerged as transformative digital entities, revolutionizing the way humans interact with technology. These conversational AI agents have transcended their initial applications to become integral parts of various industries and daily life. One of the most prominent roles of chatbots is in customer service, where they offer round-the-clock assistance, swift issue resolution, and personalized interactions. By handling routine queries and tasks, chatbots free up human agents to focus on complex and specialized issues, thus optimizing overall efficiency and customer satisfaction. To this end, this paper aims to present and describe the architecture of a novel chatbot generator with improved functionality in terms of quality of communication with end users and level of provided services, with a specialized infrastructure understanding the Greek language. The chatbot generator was developed in the framework of a research project and will be pilot tested by two end-users, the National Bank of Greece (NBG) and the General Secretariat for Information Systems & Digital Governance (GSIS-DG).

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Acknowledgements

This research has been co-financed by the European Union and Greek national funds through the Operational Program “Competitiveness, Entrepreneurship and Innovation”, under the call “RESEARCH - CREATE - INNOVATE (2nd Cycle)” (project id: T2EDK-01921).

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Correspondence to Christos Bouras .

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Bouras, C. et al. (2024). A Chatbot Generator for Improved Digital Governance. In: Papadaki, M., Themistocleous, M., Al Marri, K., Al Zarouni, M. (eds) Information Systems. EMCIS 2023. Lecture Notes in Business Information Processing, vol 501. Springer, Cham. https://doi.org/10.1007/978-3-031-56478-9_9

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  • DOI: https://doi.org/10.1007/978-3-031-56478-9_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56477-2

  • Online ISBN: 978-3-031-56478-9

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