Document Type
Article
Source of Publication
IEEE Access
Publication Date
1-1-2024
Abstract
Chatbot personality has been demonstrated to influence user behavior, such as trust and intended engagement. However, previous research on chatbot-user personality congruence’s influence on user behavior is scant despite its significance in human-human conversations. This study explores the effect of chatbot-human personality trait congruence on user behavior in the context of a chatbot-based advising system. In this study, 54 college students interacted with chatbots with three different personalities (extraversion, agreeableness, and conscientiousness) and rated their trust, usage intention, and intended engagement with the chatbots. Additionally, 18 participants were interviewed to gain further insights into their perceptions and evaluations of the chatbots. The findings show that chatbot-human personality congruence influenced behavior, particularly among extroverted participants. No significant differences were observed in the influence of chatbot-human personality congruence on the behavior of conscientious and agreeableness participants. Implications and future research directions are presented.
DOI Link
ISSN
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Disciplines
Computer Sciences
Keywords
advising system, Buildings, chatbot, Chatbots, congruence, Education, Natural languages, Oral communication, personality, Robots, Taxonomy
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Kuhail, Mohammad Amin; Bahja, Mohamed; Al-Shamaileh, Ons; Thomas, Justin; Alkazemi, Amina; and Negreiros, Joao, "Assessing the Impact of Chatbot-Human Personality Congruence on User Behavior: A Chatbot-based Advising System Case" (2024). All Works. 6578.
https://zuscholars.zu.ac.ae/works/6578
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series