TY - GEN
T1 - The Impact of Chatbot Linguistic Register on User Perceptions
T2 - 5th International Workshop on Chatbot Research and Design, CONVERSATIONS 2021
AU - Chaves, Ana Paula
AU - Gerosa, Marco Aurelio
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Chatbot
KW - Register
KW - User perceptions
UR - http://www.scopus.com/inward/record.url?scp=85124651718&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85124651718&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-94890-0_9
DO - 10.1007/978-3-030-94890-0_9
M3 - Conference contribution
AN - SCOPUS:85124651718
SN - 9783030948894
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 143
EP - 159
BT - Chatbot Research and Design - 5th International Workshop, CONVERSATIONS 2021, Revised Selected Papers
A2 - Følstad, Asbjørn
A2 - Araujo, Theo
A2 - Papadopoulos, Symeon
A2 - Law, Effie L.-C.
A2 - Luger, Ewa
A2 - Goodwin, Morten
A2 - Brandtzaeg, Petter Bae
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 23 November 2021 through 24 November 2021
ER -