TRIPs: an integrated intelligent problem-solving assistant
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Staffing the web with interactive characters
Communications of the ACM
Helping conversational agents to find informative responses: query expansion methods for chatterbots
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Agent-mediated electronic commerce: a survey
The Knowledge Engineering Review
Hi-index | 0.00 |
For conversational agents engaging in a natural language-based interaction with web site users in service exchange applications, simple entertaining "chatting" is not sufficient. Instead, the agent needs to be cooperative by trying to provide relevant information about products and/or the conditions of purchasing. In this paper we analyze how the proactive behaviour of conversational agents can be used to increase the general user satisfaction. The results of two case studies allow us to outline a generic proactivity model for information agents based on retrieval mechanisms and search heuristics.