计算机调解谈判中愤怒和性别的经济和社会后果:是否存在对愤怒女性的反弹?

Janet Wessler
{"title":"计算机调解谈判中愤怒和性别的经济和社会后果:是否存在对愤怒女性的反弹?","authors":"Janet Wessler","doi":"10.1109/aciiw52867.2021.9666337","DOIUrl":null,"url":null,"abstract":"This experimental research investigated if there are economic and social sanctions (i.e., backlash) for counter-stereotypically behaving, angry females in computer-mediated negotiations. Participants (N = 82) received angry or joyful chat messages from their ostensible male or female opposite (i.e., a computer program). Results confirm the well-known anger effect: Participants demanded lower points for themselves when negotiating with an angry vs. joyful opposite. Moreover, participants liked the angry opposite less, perceived them as less competent and more competitive. However, the opposite's gender did not moderate these findings, although exploratory evidence for a backlash effect emerged: Angry females had descriptively lower negotiation outcomes, were liked less and perceived as significantly more competitive than angry males. These results suggest that when studying negotiations in human-agent interactions, both emotions and gender should be considered as important factors driving negotiation results and social perceptions of the agent.","PeriodicalId":105376,"journal":{"name":"2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Economic and Social Consequences of Anger and Gender in Computer-Mediated Negotiations: Is there a Backlash Against Angry Females?\",\"authors\":\"Janet Wessler\",\"doi\":\"10.1109/aciiw52867.2021.9666337\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This experimental research investigated if there are economic and social sanctions (i.e., backlash) for counter-stereotypically behaving, angry females in computer-mediated negotiations. Participants (N = 82) received angry or joyful chat messages from their ostensible male or female opposite (i.e., a computer program). Results confirm the well-known anger effect: Participants demanded lower points for themselves when negotiating with an angry vs. joyful opposite. Moreover, participants liked the angry opposite less, perceived them as less competent and more competitive. However, the opposite's gender did not moderate these findings, although exploratory evidence for a backlash effect emerged: Angry females had descriptively lower negotiation outcomes, were liked less and perceived as significantly more competitive than angry males. These results suggest that when studying negotiations in human-agent interactions, both emotions and gender should be considered as important factors driving negotiation results and social perceptions of the agent.\",\"PeriodicalId\":105376,\"journal\":{\"name\":\"2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/aciiw52867.2021.9666337\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 9th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/aciiw52867.2021.9666337","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

这项实验研究调查了在电脑调解的谈判中,对反刻板印象行为的愤怒女性是否存在经济和社会制裁(即反弹)。参与者(N = 82)从他们表面上的异性(即计算机程序)那里收到愤怒或快乐的聊天信息。结果证实了众所周知的愤怒效应:参与者在与愤怒的对手和快乐的对手谈判时,要求自己得更低的分。此外,参与者更不喜欢愤怒的人,认为他们能力较差,更有竞争力。然而,异性并没有缓和这些发现,尽管出现了反冲效应的探索性证据:愤怒的女性在谈判结果上更低,更不受欢迎,被认为比愤怒的男性更具竞争力。这些结果表明,在研究人类与代理人互动中的谈判时,情绪和性别都应被视为驱动谈判结果和代理人社会感知的重要因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
Economic and Social Consequences of Anger and Gender in Computer-Mediated Negotiations: Is there a Backlash Against Angry Females?
This experimental research investigated if there are economic and social sanctions (i.e., backlash) for counter-stereotypically behaving, angry females in computer-mediated negotiations. Participants (N = 82) received angry or joyful chat messages from their ostensible male or female opposite (i.e., a computer program). Results confirm the well-known anger effect: Participants demanded lower points for themselves when negotiating with an angry vs. joyful opposite. Moreover, participants liked the angry opposite less, perceived them as less competent and more competitive. However, the opposite's gender did not moderate these findings, although exploratory evidence for a backlash effect emerged: Angry females had descriptively lower negotiation outcomes, were liked less and perceived as significantly more competitive than angry males. These results suggest that when studying negotiations in human-agent interactions, both emotions and gender should be considered as important factors driving negotiation results and social perceptions of the agent.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
emoPaint: Exploring Emotion and Art in a VR-based Creativity Tool Discrete versus Ordinal Time-Continuous Believability Assessment Event Representation and Semantics Processing System for F-2 Companion Robot Multimodal Convolutional Neural Network Model for Protective Behavior Detection based on Body Movement Data Unbiased Mimic Activity Evaluation: F2F Emotion Studio Software
×
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