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On the Lack of Pragmatic Processing in Artificial Conversational Agents

  • Baptiste Jacquet
  • Olivier Masson
  • Frank Jamet
  • Jean Baratgin
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 876)

Abstract

With the increasing demand for automated agents able to communicate with humans, a lot of progress has been made in the field of artificial intelligence in order to produce conversational agents able to sustain open or topic-restricted conversations. Still, they remain far from the capacity of interaction displayed by humans. This article highlights the challenges still faced in artificial social interaction regarding the contextualization of utterances within a conversation, either in chatbots or in more complex social robots, through processing of the pragmatic clues of conversations, using current knowledge in psychology and linguistics. It also suggests a number of points of interest for the development of artificial agents aimed at improving their communication with humans, the relevance of their utterances, and the relationship with the people interacting with them. We believe that in order to be recognized as a social agent, an artificial agent must follow similar rules humans follow themselves when conversing with each other.

Keywords

Pragmatics Natural language processing Cognition Conversations Social artificial agents 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Baptiste Jacquet
    • 1
    • 2
  • Olivier Masson
    • 1
    • 2
  • Frank Jamet
    • 1
    • 2
    • 3
  • Jean Baratgin
    • 1
    • 2
    • 4
  1. 1.P-A-R-I-S AssociationParisFrance
  2. 2.Laboratoire CHArt - EA4004 (Université Paris VIII & EPHE)ParisFrance
  3. 3.Université Cergy-Pontoise (UCP)Cergy-Pontoise CedexFrance
  4. 4.Institut Jean-Nicod (IJN), Ecole Normale Supérieure (ENS)ParisFrance

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