It's how you say it: Identifying appropriate register for chatbot language design

Ana Paula Chaves, Eck Doerry, Jesse Egbert, Marco Gerosa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Designing chatbots that produce language that is natural and appropriate to a given context is critical in satisfying user expectations. Currently, little is known about how a chatbot's linguistic choices should be designed to conform with the language humans produce in similar contexts. In this paper, we draw on existing sociolinguistic theory to adapt a technique calledregister analysis to (a) characterize the linguistic register used by humans in a specific conversational context; and (b) drive chatbot language design. Our exploratory study investigates the application of register analysis for tourist assistants chatbots and shows how the results could be used to develop them to adopt the appropriate register.

Original languageEnglish (US)
Title of host publicationHAI 2019 - Proceedings of the 7th International Conference on Human-Agent Interaction
PublisherAssociation for Computing Machinery, Inc
Pages102-109
Number of pages8
ISBN (Electronic)9781450369220
DOIs
StatePublished - Sep 25 2019
Event7th International Conference on Human-Agent Interaction, HAI 2019 - Kyoto, Japan
Duration: Oct 6 2019Oct 10 2019

Publication series

NameHAI 2019 - Proceedings of the 7th International Conference on Human-Agent Interaction

Conference

Conference7th International Conference on Human-Agent Interaction, HAI 2019
CountryJapan
CityKyoto
Period10/6/1910/10/19

Keywords

  • Chatbots
  • Conversational style
  • Language design
  • Register

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Software

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  • Cite this

    Chaves, A. P., Doerry, E., Egbert, J., & Gerosa, M. (2019). It's how you say it: Identifying appropriate register for chatbot language design. In HAI 2019 - Proceedings of the 7th International Conference on Human-Agent Interaction (pp. 102-109). (HAI 2019 - Proceedings of the 7th International Conference on Human-Agent Interaction). Association for Computing Machinery, Inc. https://doi.org/10.1145/3349537.3351901