Social environment-based opportunity costs dictate when people leave social interactions

Anthony S. Gabay, Andrea Pisauro, Kathryn C. O’Nell, Matthew A. J. Apps
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Abstract

There is an ever-increasing understanding of the cognitive mechanisms underlying how we process others’ behaviours during social interactions. However, little is known about how people decide when to leave an interaction. Are these decisions shaped by alternatives in the environment – the opportunity-costs of connecting to other people? Here, participants chose when to leave partners who treated them with varying degrees of fairness, and connect to others, in social environments with different opportunity-costs. Across four studies we find people leave partners more quickly when opportunity-costs are high, both the average fairness of people in the environment and the effort required to connect to another partner. People’s leaving times were accounted for by a fairness-adapted evidence accumulation model, and modulated by depression and loneliness scores. These findings demonstrate the computational processes underlying decisions to leave, and highlight atypical social time allocations as a marker of poor mental health. Across four experiments, participants chose to spend more time with partners who made fair offers; likewise, a poor social environment and low opportunity-costs led participants to stay with partners.

Abstract Image

基于社会环境的机会成本决定了人们何时离开社交互动
人们对我们在社会交往中如何处理他人行为的认知机制有了越来越多的了解。然而,人们对于如何决定何时离开互动却知之甚少。这些决定是由环境中的替代品--与他人建立联系的机会成本--决定的吗?在这里,参与者选择何时离开以不同程度的公平对待他们的伙伴,并在机会成本不同的社会环境中与其他人建立联系。在四项研究中,我们发现当机会成本(包括环境中人们的平均公平程度和与其他伙伴建立联系所需的努力)较高时,人们会更快地离开伙伴。人们离开伴侣的时间是由一个公平性适应的证据积累模型来解释的,并受到抑郁和孤独评分的调节。这些发现证明了决定离开的计算过程,并强调了非典型社交时间分配是心理健康状况不佳的标志。在四项实验中,参与者选择花更多时间与提供公平条件的伙伴在一起;同样,糟糕的社交环境和低机会成本也会导致参与者留在伙伴身边。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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