Enhancing or impeding? Exploring the dual impact of anthropomorphism in large language models on user aggression

IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Telematics and Informatics Pub Date : 2024-10-10 DOI:10.1016/j.tele.2024.102194
Yipeng Xi , Aitong Ji , Weihua Yu
{"title":"Enhancing or impeding? Exploring the dual impact of anthropomorphism in large language models on user aggression","authors":"Yipeng Xi ,&nbsp;Aitong Ji ,&nbsp;Weihua Yu","doi":"10.1016/j.tele.2024.102194","DOIUrl":null,"url":null,"abstract":"<div><div>This study explores the impact of anthropomorphism in large language models (LLMs) on user aggression through the lens of dehumanization theory. Specifically, it analyzes how chatbots’ human nature and human uniqueness traits influence user aggression by triggering perceived identity threats. Drawing on an online survey of 1000 LLM chatbot users in China and employing structural equation modeling, the research reveals that chatbots perceived as competent and rational tend to reduce user aggression by alleviating identity threats. In contrast, chatbots exhibiting empathetic and moral traits are more likely to heighten identity threats, thereby increasing aggression. The study further demonstrates that perceived economic value mitigates the negative impact of identity threats, while perceived emotional value exacerbates it. These findings highlight the critical need for AI designs that not only enhance user interaction but also carefully manage the potential for eliciting adverse behaviors.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"95 ","pages":"Article 102194"},"PeriodicalIF":7.6000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Telematics and Informatics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0736585324000984","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

This study explores the impact of anthropomorphism in large language models (LLMs) on user aggression through the lens of dehumanization theory. Specifically, it analyzes how chatbots’ human nature and human uniqueness traits influence user aggression by triggering perceived identity threats. Drawing on an online survey of 1000 LLM chatbot users in China and employing structural equation modeling, the research reveals that chatbots perceived as competent and rational tend to reduce user aggression by alleviating identity threats. In contrast, chatbots exhibiting empathetic and moral traits are more likely to heighten identity threats, thereby increasing aggression. The study further demonstrates that perceived economic value mitigates the negative impact of identity threats, while perceived emotional value exacerbates it. These findings highlight the critical need for AI designs that not only enhance user interaction but also carefully manage the potential for eliciting adverse behaviors.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
增强还是阻碍?探索大型语言模型中的拟人化对用户攻击性的双重影响
本研究从非人化理论的角度探讨了大型语言模型(LLM)中的拟人化对用户攻击行为的影响。具体来说,它分析了聊天机器人的人性和人类独特性特征如何通过引发感知到的身份威胁来影响用户攻击行为。通过对中国1000名LLM聊天机器人用户进行在线调查,并采用结构方程建模,研究发现,被认为有能力和理性的聊天机器人往往会通过减轻身份威胁来减少用户攻击行为。相反,表现出移情和道德特征的聊天机器人更有可能加剧身份威胁,从而增加攻击性。研究进一步表明,感知到的经济价值会减轻身份威胁的负面影响,而感知到的情感价值则会加剧这种影响。这些发现凸显了人工智能设计的关键需求,即不仅要增强用户互动,还要谨慎管理引发不良行为的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Telematics and Informatics
Telematics and Informatics INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
17.00
自引率
4.70%
发文量
104
审稿时长
24 days
期刊介绍: Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.
期刊最新文献
Unveiling the dynamics of binge-scrolling: A comprehensive analysis of short-form video consumption using a Stimulus-Organism-Response model Motivations behind problematic short video use: A three-level meta-analysis Crypto-Cognitive Exploitation: Integrating Cognitive, Social, and Technological perspectives on cryptocurrency fraud Are you what you emoji? How skin tone emojis and profile pictures shape attention and social inference processing Engaging with underserved communities during times of crises: A computational analysis of social media interactions with government information about COVID-19 economic relief programs
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1