Brown Mitch, Young Steven G, Sacco Donald F
University of Arkansas, USA.
CUNY Baruch College, USA.
Comput Human Behav. 2021 Oct;123:106892. doi: 10.1016/j.chb.2021.106892. Epub 2021 Jun 3.
During the COVID-19 pandemic, individuals were advised to adhere to social distancing guidelines limiting physical interpersonal contact. Humans have a suite of adaptations to satisfy belonging needs while avoiding diseased conspecifics. Competition between motivational systems may explain adherence and resistance to social distancing guidelines and how technologically mediated interactions further shape these decisions. This study is a preregistered analysis of data in a representative sample collected during the pandemic investigating how individual differences in affiliative and pathogen-avoidant motives predict interest in physical interactions ( = 2409). Germ aversion predicted disinterest in physical interactions and need to belong predicted interest. Additional analyses revealed technology use satisfied belonging motives that unexpectedly heightened interest in physical contact. Exploratory analyses further indicate that internet speed was similarly associated with greater interest in physical interactions. We frame these results through a competing fundamental social motives framework and discuss how to address future pandemics effectively.
在新冠疫情期间,建议人们遵守社交距离准则,限制人际间的身体接触。人类有一系列适应性机制,既能满足归属需求,又能避免接触患病的同种个体。动机系统之间的竞争或许可以解释人们对社交距离准则的遵守和抗拒,以及技术介导的互动如何进一步影响这些决策。本研究是对疫情期间收集的代表性样本数据进行的预注册分析,旨在探究亲和动机和病原体回避动机的个体差异如何预测对身体互动的兴趣(样本量 = 2409)。对病菌的厌恶预示着对身体互动缺乏兴趣,而归属需求则预示着有兴趣。进一步分析表明,使用技术满足了归属动机,意外地增强了对身体接触的兴趣。探索性分析还表明,网速同样与对身体互动的更大兴趣相关。我们通过一个相互竞争的基本社会动机框架来阐述这些结果,并讨论如何有效应对未来的疫情。