Learning word groundings from humans facilitated by robot emotional displays

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Abstract

In working towards accomplishing a humanlevel acquisition and understanding of language, a robot must meet two requirements: the ability to learn words from interactions with its physical environment, and the ability to learn language from people in settings for language use, such as spoken dialogue. In a live interactive study, we test the hypothesis that emotional displays are a viable solution to the cold-start problem of how to communicate without relying on language the robot does not-indeed, cannot-yet know. We explain our modular system that can autonomously learn word groundings through interaction and show through a user study with 21 participants that emotional displays improve the quantity and quality of the inputs provided to the robot.

Original languageAmerican English
Title of host publicationSIGDIAL 2020 - 21st Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference
Pages97-106
Number of pages10
ISBN (Electronic)9781952148026
StatePublished - 1 Jul 2020
Event21st Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2020 - Virtual, Online
Duration: 1 Jul 20203 Jul 2020

Publication series

NameSIGDIAL 2020 - 21st Annual Meeting of the Special Interest Group on Discourse and Dialogue, Proceedings of the Conference

Conference

Conference21st Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2020
CityVirtual, Online
Period1/07/203/07/20

EGS Disciplines

  • Artificial Intelligence and Robotics
  • Computer Sciences

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