Lange Florian, Brick Cameron, Dewitte Siegfried
Behavioral Engineering Research Group, KU Leuven, Leuven, Belgium.
Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands.
R Soc Open Sci. 2020 Apr 1;7(4):190189. doi: 10.1098/rsos.190189. eCollection 2020 Apr.
Understanding how humans navigate the tension between selfish and prosocial behaviour is central to addressing social dilemmas and several environmental issues. Many accounts predict that human prosociality would increase in the presence of observing individuals. Previous studies on this observability effect predominantly relied on artificial observability manipulations and low-cost measures of prosociality. In the present Registered Report, we used a recently validated laboratory procedure of repeated dilemmas to test whether the presence of actual observers affects costly prosocial behaviour in the domain of environmental conservation. When completing this dilemma task, participants repeatedly chose between minimizing the length of the laboratory session and minimising wasted energy from a bank of LED lights. Their choices were made either in private or in the presence of actual observers. Contrary to our expectation, we did not observe higher rates of energy-conserving behaviour when participants' choices were being observed. Manipulation and robustness checks indicate that this lack of a finding is unlikely to be owing to arbitrary methodological choices. In view of these findings, we argue that a more comprehensive analysis of situation- and behaviour-specific consequences might be necessary to predict how particular behaviours are affected by observability.
理解人类如何在自私行为和亲社会行为之间找到平衡,是解决社会困境和若干环境问题的核心所在。许多观点预测,在有旁观者观察的情况下,人类的亲社会行为会增加。以往关于这种可观察性效应的研究主要依赖于人为的可观察性操纵以及亲社会行为的低成本测量方法。在本篇注册报告中,我们采用了一种最近经过验证的重复困境实验室程序,来测试实际旁观者的存在是否会影响环境保护领域中代价高昂的亲社会行为。在完成这个困境任务时,参与者需要在尽量缩短实验室时长和尽量减少一组LED灯的能源浪费之间反复做出选择。他们的选择是在私下进行,还是在有实际旁观者在场的情况下进行。与我们的预期相反,当参与者的选择被观察时,我们并未观察到更高的节能行为发生率。操纵和稳健性检验表明,这一未得出结果的情况不太可能是由于任意的方法选择所致。鉴于这些发现,我们认为,可能有必要对特定情境和行为的后果进行更全面的分析,以便预测特定行为如何受到可观察性的影响。