Too Informal? How a Chatbot’s Communication Style Affects Brand Attitude and Quality of Interaction
Publication date
2021-02-04
Editors
Følstad, Asbjørn
Araujo, Theo
Papadopoulos, Symeon
Law, Effie L.-C.
Luger, Ewa
Goodwin, Morten
Brandtzaeg, Petter Bae
Advisors
Supervisors
Document Type
Part of book
Metadata
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License
taverne
Abstract
This study investigated the effects of (in)formal chatbot responses and brand familiarity on social presence, appropriateness, brand attitude, and quality of interaction. An online experiment using a 2 (Communication Style: Informal vs. Formal) by 2 (Brand: Familiar vs. Unfamiliar) between subject design was conducted in which participants performed customer service tasks with the assistance of chatbots developed for the study. Subsequently, they filled out an online questionnaire. An indirect effect of communication style on brand attitude and quality of interaction through social presence was found. Thus, a chatbot’s informal communication style induced a higher perceived social presence which in turn positively influenced quality of the interaction and brand attitude. However, brand familiarity did not enhance perceptions of appropriateness, indicating participants do not assign different roles to chatbots as communication partner.
Keywords
Brand familiarity, Chatbots, Communication style, Conversational human voice, Social presence, Taverne, Theoretical Computer Science, General Computer Science
Citation
Liebrecht, C, Sanders, L & van Hooijdonk, C M J 2021, Too Informal? How a Chatbot’s Communication Style Affects Brand Attitude and Quality of Interaction. in A Følstad, T Araujo, S Papadopoulos, E L-C Law, E Luger, M Goodwin & P B Brandtzaeg (eds), Chatbot Research and Design : 4th International Workshop, CONVERSATIONS 2020, Virtual Event, November 23–24, 2020, Revised Selected Papers. 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12604 LNCS, Springer, pp. 16-31, 4th international conference on chatbot research, 23/11/20. https://doi.org/10.1007/978-3-030-68288-0_2, conference