Overview of the Fault and Bad Language Tolerance in Automatic User-Agent Dialogues
Conversational agents are computer systems able to interact with users in natural language. Advances in Natural Language Processing and Genetic Computation have promoted the possibility of gathering a corpus of user-agent dialogues. In this paper, the focus is to study the level of tolerance that users have when interacting with agents from the analysis of the recorded dialogues. Some factors that have been found as reasons for bad language are: misunderstanding of the agent, high expectations of the users, need of challenging the agent, cultural background and age. Results of several experiments in which these factors are involved are reported.
KeywordsNatural Language Processing High Expectation Media Equation Pedagogical Agent Conversational Agent
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