Exploring the influence of user characteristics on verbal aggression towards social chatbots
Bibliographic Data
| ID | 21453053 |
|---|---|
| Authors | HyoJin Chin (0000-0003-4773-9518, Institute for Basic Science), Mun Yong Yi (0000-0003-1784-8983, KAIST, corresponding author) |
| Year | 2025 |
| Volume | 44 |
| Issue | 8 |
| Pages | 1576-1594 |
| Publication date | 2025-05-09 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Behaviour and Information Technology (JOURNAL) |
| Journal identifiers | ISSN: 0144-929X • E-ISSN: 1362-3001 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/0144929x.2024.2362957 |
| OpenAlex | W4399353429 |
| Language | EN |
| Citations received | 2 |
| References cited | 53 |
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
The Toronto Empathy Questionnaire
Real conversations with artificial intelligence
"Like Having a Really Bad PA"
User Experiences of Social Support From Companion Chatbots in Everyday Contexts
It’s only a computer
Why we should have seen that coming
Predicting cyberbullying from anonymity
Anonymously hurting others online
The Aggression Questionnaire
Measurement Instruments for the Anthropomorphism, Animacy, Likeability, Perceived Intelligence, and Perceived Safety of Robots
Conscience, Significant Others, and Rational Choice
| Citations per year | 2 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |