交配环境中的厌恶--在约会模拟游戏中选择最佳和最差的自我展示方案

IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Michal Mikolaj Stefanczyk , Daniel Conroy-Beam , Bartosz Ujma , Kathryn V. Walter , Zuzanna Zborowska , Agnieszka Sorokowska
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引用次数: 0

摘要

为了达到人际交往的目的,人们会操纵自己的自我形象:他们会表现出自己最有利的特质,避免表现出最厌恶的特质。在交配环境中,厌恶是最令人反感的特征之一。在这里,我们探讨了病原体、性或道德等哪种厌恶对自我形象的损害最大。我们还重新审视了潜在伴侣身上各种积极特质的重要性。参与者(N = 1,017)玩了一个约会模拟游戏。他们从五个积极特质中选择一个,从三个厌恶规范中选择一个。我们分析了一个人的生理性别、性取向和文化对约会时自我展示的影响。女性比男性更常表现出道德上令人作呕的行为和艺术能力,而男性则更常表现出病理上令人作呕的行为和善良。同性恋取向预示着承认道德厌恶过失的频率较低,而表现出艺术能力的频率较高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disgust in the mating context – choosing the best and the least bad self-presentation option in a date simulation game

In order to achieve interpersonal goals, people manipulate their self-image: they manifest their most favourable traits and avoid exhibiting the most aversive ones. Disgust is one of the most powerful turn-offs in a mating context. Here, we explored which disgust domain −pathogen, sexual, or moral − is considered the most damaging for self-image. We also revisited the importance of various positive traits in a potential partner. The participants (N = 1,017) played a date-simulation game. They chose which one of five positive characteristics, and which one of three disgust norm transgressions they want to manifest. We analysed the influence of one’s biological sex, sexual orientation, and culture on self-presentation during a date.

Women more often manifested morally disgusting behaviours and artistic abilities than men, while men more often manifested pathogenically disgusting behaviours and kindness. Homosexual orientation predicted lower frequency of admitting to moral disgust transgressions, and higher frequency of exhibiting artistic abilities.

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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.
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