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Chatbots in the tourism industry: the effects of communication style and brand familiarity on social presence and brand attitude

Published: 22 June 2021 Publication History

Abstract

Text-based chatbots are increasingly being implemented in the tourism sector to supplement online customer service encounters. However, customers often perceive conversations with chatbots as unnatural and impersonal. Therefore, we investigated whether a humanlike communication style enhances users’ chatbot and brand perceptions. Two experiments were conducted in which the effects of informal language (vs. formal language) and invitational rhetoric (present vs. absent) were examined separately. In both experiments, participants engaged in conversations with a customer service chatbot in the tourism sector after which they evaluated social presence and attitude towards the brand. Also, brand familiarity was included as a factor in both experiments as users’ brand familiarity affects their perceptions of the communication style in human-to-human interaction. The results showed chatbots using informal language or invitational rhetoric increase one's brand attitude via social presence. Moreover, brand familiarity only moderated the findings when the chatbot used invitational rhetoric: participants who were familiar with the brand experienced more social presence when the chatbot messages contained invitational rhetoric. We conclude that the perceived humanness of chatbots can be increased by adopting a communication style consisting of informal language and invitational rhetoric. Implications for the design and evaluation of chatbot messages are discussed.

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Cited By

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  • (2024)Investigating the influence of perceived humanization of service encounters on value creation of chatbot-assisted servicesJournal of Service Theory and Practice10.1108/JSTP-10-2023-0282Online publication date: 15-Oct-2024
  • (2024)‘Hi Chatbot, let’s Talk about Politics!’ Examining the Impact of Verbal Anthropomorphism in Conversational Agent Voting Advice Applications (CAVAAs) on Higher and Lower Politically Sophisticated UsersInteracting with Computers10.1093/iwc/iwae031Online publication date: 24-Jul-2024
  • (2022)Evaluating the Intention for the Adoption of Artificial Intelligence-Based Robots in the University to Educate the StudentsIEEE Access10.1109/ACCESS.2022.322555510(125666-125678)Online publication date: 2022

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      cover image ACM Conferences
      UMAP '21: Adjunct Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization
      June 2021
      431 pages
      ISBN:9781450383677
      DOI:10.1145/3450614
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 22 June 2021

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      Author Tags

      1. Brand attitude
      2. Brand familiarity
      3. Communication style
      4. Social presence

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      View all
      • (2024)Investigating the influence of perceived humanization of service encounters on value creation of chatbot-assisted servicesJournal of Service Theory and Practice10.1108/JSTP-10-2023-0282Online publication date: 15-Oct-2024
      • (2024)‘Hi Chatbot, let’s Talk about Politics!’ Examining the Impact of Verbal Anthropomorphism in Conversational Agent Voting Advice Applications (CAVAAs) on Higher and Lower Politically Sophisticated UsersInteracting with Computers10.1093/iwc/iwae031Online publication date: 24-Jul-2024
      • (2022)Evaluating the Intention for the Adoption of Artificial Intelligence-Based Robots in the University to Educate the StudentsIEEE Access10.1109/ACCESS.2022.322555510(125666-125678)Online publication date: 2022

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