Christophe Virginie, Hansenne Michel
PsyNCog Research Unit, Liège University, Liège, Belgium.
Eur J Psychol. 2021 May 31;17(2):117-130. doi: 10.5964/ejop.1945. eCollection 2021 May.
Decades of research on affective forecasting have shown a persistent intensity bias-a strong tendency by which people overestimate their future hedonic response for positive events and underestimate it for negatives one. While previous research has provided answers on the isolated impact of various individual or contextual factors, this study is original in that it brings them together to determine which ones most influence the inaccuracy of affective forecasting. Participants were asked to predict their emotional satisfaction for a personal life event, the course (positive or negative) and date of which were already known. First, the results support previous research by showing that affective predictions are highly associated with people's affective experience. Moreover, multiple regression showed that among the individual and contextual factors previously reported to be in relation with affective forecasting inaccuracy, only the valence of the event could explain inaccuracy of forecasting. According to a growing body of literature, these findings point out a tendency to underestimate the intensity of the affect predicted both for negative and positive, with a stronger underestimation for negative events: the negative valence effect.
数十年来对情感预测的研究表明,存在一种持续的强度偏差——人们有一种强烈的倾向,即高估自己对积极事件的未来享乐反应,而低估对消极事件的反应。虽然先前的研究已经就各种个体或情境因素的单独影响给出了答案,但本研究的独特之处在于将这些因素综合起来,以确定哪些因素对情感预测的不准确影响最大。参与者被要求预测他们对一个个人生活事件的情感满意度,该事件的进程(积极或消极)和日期是已知的。首先,结果支持了先前的研究,表明情感预测与人们的情感体验高度相关。此外,多元回归显示,在先前报告与情感预测不准确相关的个体和情境因素中,只有事件的效价能够解释预测的不准确。根据越来越多的文献,这些发现指出了一种对消极和积极预测情感强度的低估倾向,对消极事件的低估更为强烈:消极效价效应。