Your browser doesn't support javascript.
loading
Social Distance Reduces the Biases of Overweighting Small Probabilities and Underweighting Large Probabilities.
Sun, Qingzhou; Lu, Jingyi; Zhang, Huanren; Liu, Yongfang.
Afiliação
  • Sun Q; School of Management, Zhejiang University of Technology, Hangzhou, China.
  • Lu J; School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
  • Zhang H; School of Psychology and Cognitive Science, East China Normal University, Shanghai, China.
  • Liu Y; Department of Business and Economics, University of Southern Denmark, Odense, Denmark.
Pers Soc Psychol Bull ; 47(8): 1309-1324, 2021 08.
Article em En | MEDLINE | ID: mdl-33331239
ABSTRACT
People often exhibit biases in probability weighting such as overweighting small probabilities and underweighting large probabilities. Our research examines whether increased social distance would reduce such biases. Participants completed valuation and choice tasks of probabilistic lotteries under conditions with different social distances. The results showed that increased social distance reduced these biases in both hypothetical (Studies 1 and 2) and incentivized (Study 3) settings. This reduction was accompanied by a decrease in emotional intensity and an increase in the attention to probability in the decision-making process (Study 4). Moreover, the bias-buffering effect of social distance was stronger in the gain domain than in the loss domain (Studies 1-4). These results suggest that increasing the social distance from the beneficiaries of the decisions can reduce biases in probability weighting and shed light on the relationship between social distance and the emotional-cognitive process in decision-making.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tomada de Decisões / Emoções Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Tomada de Decisões / Emoções Idioma: En Ano de publicação: 2021 Tipo de documento: Article