The Impact of Chatbot Linguistic Register on User Perceptions: A Replication Study

Ana Paula Chaves, Marco Aurelio Gerosa

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

1 Scopus citations

Abstract

Chatbots often perform social roles associated with human interlocutors; hence, designing chatbot language to conform with the stereotypes of its social category is critical to the success of this technology. In a previous study, Chaves et al. performed a corpus analysis to evaluate how language variation in an interactional situation, namely the linguistic register, influences the user’s perceptions of a chatbot. In this paper, we present a replication study with a different corpus to understand the effect of corpus selection in the original study’s findings. Our results confirm the findings in the previous study and demonstrate the reproducibility of the research methodology; we also reveal new insights about language design for tourist assistant chatbots.

Original languageEnglish (US)
Title of host publicationChatbot Research and Design - 5th International Workshop, CONVERSATIONS 2021, Revised Selected Papers
EditorsAsbjørn Følstad, Theo Araujo, Symeon Papadopoulos, Effie L.-C. Law, Ewa Luger, Morten Goodwin, Petter Bae Brandtzaeg
PublisherSpringer Science and Business Media Deutschland GmbH
Pages143-159
Number of pages17
ISBN (Print)9783030948894
DOIs
StatePublished - 2022
Event5th International Workshop on Chatbot Research and Design, CONVERSATIONS 2021 - Virtual, Online
Duration: Nov 23 2021Nov 24 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13171 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Workshop on Chatbot Research and Design, CONVERSATIONS 2021
CityVirtual, Online
Period11/23/2111/24/21

Keywords

  • Chatbot
  • Register
  • User perceptions

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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