从第一印象和第二印象预测合作行为的机会大于风险

Eric Schniter, Timothy W. Shields
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摘要

摘要 摘要 利用稀疏信息准确预测合作行为的适应能力能否促进陌生人之间的合作?我们假设,预测会受到第一印象和第二印象中的信念、描述、外表和行为历史的影响。我们还假设,当获得更多信息时,预测结果会有所改善。我们进行了一项由两部分组成的研究。首先,我们录制了大学生在与匹配伙伴进行重复 "囚徒困境 "选择前的薄片视频。其次,全球抽样的评分者使用视频、照片、仅性别标签或既无图像也无标签对每位选手进行评估。评分者先猜测选手的第一轮囚徒困境选择,然后在查看第一轮行为记录后猜测他们的第二轮选择。我们的设计使我们能够研究在第一和第二轮印象中收集到的性别、外貌和行为记录的递增效应。在加入性别、外貌或行为历史记录后,预测会变得更加准确,而且胜算更大。然而,这些影响并不是逐步累积的。显示玩家外貌的处理方法预测的准确性并不比显示性别标签的处理方法高,而视频预测的准确性也并不比照片预测的准确性高。这些结果证明了人们是如何在信息稀少的条件下准确预测合作的,有助于解释为什么陌生人之间的有条件合作很常见。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Better-than-chance prediction of cooperative behaviour from first and second impressions
Abstract Abstract Could cooperation among strangers be facilitated by adaptations that use sparse information to accurately predict cooperative behaviour? We hypothesise that predictions are influenced by beliefs, descriptions, appearance and behavioural history available for first and second impressions. We also hypothesise that predictions improve when more information is available. We conducted a two-part study. First, we recorded thin-slice videos of university students just before their choices in a repeated Prisoner's Dilemma with matched partners. Second, a worldwide sample of raters evaluated each player using videos, photos, only gender labels or neither images nor labels. Raters guessed players’ first-round Prisoner's Dilemma choices and then their second-round choices after reviewing first-round behavioural histories. Our design allows us to investigate incremental effects of gender, appearance and behavioural history gleaned during first and second impressions. Predictions become more accurate and better-than-chance when gender, appearance or behavioural history is added. However, these effects are not incrementally cumulative. Predictions from treatments showing player appearance were no more accurate than those from treatments revealing gender labels and predictions from videos were no more accurate than those from photos. These results demonstrate how people accurately predict cooperation under sparse information conditions, helping explain why conditional cooperation is common among strangers.
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