Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Exploring the influence of user characteristics on verbal aggression towards social chatbots

Bibliographic Data

ID21453053
AuthorsHyoJin Chin (0000-0003-4773-9518, Institute for Basic Science), Mun Yong Yi (0000-0003-1784-8983, KAIST, corresponding author)
Year2025
Volume44
Issue8
Pages1576-1594
Publication date2025-05-09
Open AccessNo
TypeARTICLE
VenueBehaviour and Information Technology (JOURNAL)
Journal identifiersISSN: 0144-929X • E-ISSN: 1362-3001
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0144929x.2024.2362957
OpenAlexW4399353429
LanguageEN
Citations received2
References cited53

Chatbots possess great potential benefits, yet concerns persist regarding users adopting inappropriate, offensive language. This research delved into the influence of user characteristics on verbally aggressive behaviours towards social chatbots. Employing a mixed-method study, we examined individual characteristics such as personal dispositions, offensive language patterns, academic majors, and prior experiences with conversational agents. Findings from a ten-day field experiment involving 33 participants using a real-world Telegram-based chatbot app unveiled that users' anthropomorphism, computer-related major, and gender significantly impact their moral emotions and evaluations of the chatbot's capabilities. Moreover, employing offensive language towards the chatbot detrimentally impacted users' perceptions of its abilities, helpfulness, and likability. The research findings advocate for ongoing monitoring and effective resolution of users' behaviours regarding the use of offensive language in their interactions with a chatbot. Additionally, the results underscore the importance of incorporating diverse perspectives into chatbot design to address biases and offensive utterances

Aggression · Human–computer interaction · Nonverbal communication · Poison control · Verbal aggression · AI in Service Interactions · Communication · Computer Science · Hate Speech and Cyberbullying Detection · Human Factors and Ergonomics · Medicine · Misinformation and Its Impacts · Psychology · Social Psychology

  • Applying Emotion-Cause Entailment for Help-Seeker Guidance in Emotional Support Conversations

    Open Access•Jeremy Chang, Chung‐Hsien Wu•IEEE Transactions on Computational…•2026

  • Beyond Utility

    Open Access•Marita Skjuve, Anna Grøndal Larsen et al.•International Journal of…•2026

  • The Toronto Empathy Questionnaire

    R Nathan Spreng, Margaret C Mckinnon et al.•Journal of Personality Assessment•2009

  • Real conversations with artificial intelligence

    Open Access•Jennifer Hill, W Randolph Ford et al.•Computers in Human Behavior•2015

  • "Like Having a Really Bad PA"

    Open Access•Ewa Luger, Abigail Sellen•Proceedings of the 2016 CHI…•2016

  • User Experiences of Social Support From Companion Chatbots in Everyday Contexts

    Open Access•Vivian P Ta, Caroline Griffith et al.•Journal of Medical Internet…•2020

  • It’s only a computer

    Open Access•Gale Lucas, Gale M Lucas et al.•Computers in Human Behavior•2014

  • Why we should have seen that coming

    Open Access•Marty J Wolf, Keith Miller et al.•ACM SIGCAS Computers and Society•2017

  • Predicting cyberbullying from anonymity

    Christopher P Barlett, Douglas A Gentile et al.•Psychology of Popular Media Culture•2014

  • Anonymously hurting others online

    Christopher P Barlett•Psychology of Popular Media Culture•2013

  • The Aggression Questionnaire

    Arnold H Bu, Arnold H Buss et al.•Journal of Personality and Social…•1992

  • Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots

    Open Access•Christoph Bartneck, Dana Kulić et al.•International Journal of Social…•2008

  • Conscience, Significant Others, and Rational Choice

    Open Access•Harold G Grasmick, Robert J Bursik•Law & Society Review•1990

Citations per year2
Citation span2026 - 2026 (1)
Highly citedNo

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae