Integrating reactive and scripted behaviors in a life-like presentation agent
AGENTS '98 Proceedings of the second international conference on Autonomous agents
ELIZA—a computer program for the study of natural language communication between man and machine
Communications of the ACM
Wizard of Oz Method for Learning Dialog Agents
CIA '01 Proceedings of the 5th International Workshop on Cooperative Information Agents V
The CommandTalk spoken dialogue system
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
IEEE Transactions on Knowledge and Data Engineering
Explanations of recommendations
Proceedings of the 2007 ACM conference on Recommender systems
Using the Wizard of Oz Method to Train Persuasive Agents
CIA '08 Proceedings of the 12th international workshop on Cooperative Information Agents XII
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Persuasive conversational agents persuade people to change their attitudes or behaviors through conversation, and are expected to be applied as virtual sales clerks in e-shopping sites. As an approach to create such an agent, we have developed a learning agent with the Wizard of Oz method in which a person called Wizard talks to the user pretending to be the agent. The agent observes the conversations between the Wizard and the user, and learns how to persuade people. In this method, the Wizard has to reply to most of the user’s inputs at the beginning, but the burden gradually falls because the agent learns how to reply as the conversation model grows. Generally speaking, persuasion tactics is important to persuade people efficiently, but it is also useful to reduce the burden of the Wizard because it guides the Wizard to a way of persuasion. In this paper, we explicitly implement persuasion tactics into the persuasive conversation agent. Evaluation experiments show that the burden (the input ratio) of the Wizard was reduced from 55% (without tactics) to 33% (with tactics), although the success ratio of persuasion was little improved.