AI-based Technologies for Conversational Agent Design – Development Tools and Architectures for Intelligent Interactions
Zusammenfassung
Conversational agents are becoming increasingly intelligent due to artificial intelligence (AI) advances,
improving human-machine interaction. As conversational agents are already being used in various real-
world applications, research shows the enormous potential of exploring advanced areas such as
companionship or learning support. Particularly, those intelligent and future-oriented application areas
rely on using AI-based technologies. However, implementations are often prototypical without
comprehensive technological information. Moreover, the possibilities for practical implementation of
conversational agents are growing, making the choice of architecture and tools for implementation
complex. We address this problem by developing a taxonomy that helps characterize AI-based tools
and services for intelligent interactions. We then derive archetypes for AI-based tools using cluster
analysis and give meta-architectures that exemplify how to integrate AI-based services into typical
technical conversational agent architectures. With our research, we aim to expand the knowledge base for
developing conversational agents and support developers in their implementation.
Schlüsselwörter
Conversational Agents; Taxonomy; Architecture; Chatbot