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Overview of the Fault and Bad Language Tolerance in Automatic User-Agent Dialogues

  • Diana Pérez-Marín
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 156)

Abstract

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.

Keywords

Natural Language Processing High Expectation Media Equation Pedagogical Agent Conversational Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Computer Science FacultyUniversidad Rey Juan CarlosMóstolesSpain

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