Affiliation:
1. University of Trento, Italy
Abstract
We present the role of conversational agents in two task-oriented human-computer dialogue applications: Interactive Question Answering and Persuasive Dialogue. We show that conversational agents can be effectively deployed for interaction that goes beyond user entertainment and can be successfully used as a means to achieve complex tasks. Conversational agents are a winning solution in Persuasive Dialogue because, combined with a planning infrastructure, they can help manage the parts of the dialogue that cannot be planned a priori and are primordial to keep the system persuasive. In Interactive Question Answering, conversational approaches lead users to the explicit formulation of queries, allow for the submission of further queries and accomodate related queries thanks to their ability to handle context.
Reference56 articles.
1. Allen, J., Ferguson, G., & Stent, A. (2001). An architecture for more realistic conversational systems. IUI '01: Proceedings of the 6th International Conference on Intelligent user interfaces.
2. Allen, J. F., Ferguson, G., Miller, B. W., Ringger, E. K., & Sikorski, T. (2000). Dialogue systems: From theory to practice in TRAINS-96. In Handbook of natural language processing (pp. 347-376).
3. Andrews, P., & Manandhar, S. (2009). Measure of belief change as an evaluation of persuasion. Proceedings of the AISB'09 Persuasive Technology and Digital Behaviour Intervention Symposium.
4. Basili, R., De Cao, D., Giannone, C., & Marocco, P. (2007). Data-driven dialogue for interactive question answering. Proceedings of AI*IA’07.