悲伤
娱乐
价(化学)
心理学
愤怒
心理信息
社会心理学
认知心理学
物理
梅德林
量子力学
政治学
法学
作者
Niamh M. Campbell,Amy Dawel,Mark Edwards,Stephanie Catherine Goodhew
出处
期刊:Emotion
[American Psychological Association]
日期:2023-08-01
卷期号:23 (5): 1334-1348
被引量:3
摘要
Recent work has cast doubt on whether the strength of motivation (strength of avoidance or approach tendencies) experienced while viewing emotion-eliciting pictures is dissociable from felt valence (negative versus positive). The present study extended this work by testing specific discrete emotions (amusement, anger, awe, desire, sadness). Previous work has proposed separate motivational direction (avoid versus approach) from valence. In Study 1, participants (N = 60) rated the motivational direction or valence they experienced while viewing 100 pictures that each evoked one of the five discrete emotions. We found significant differences between average motivational direction and valence ratings for sadness, anger, and amusement. Critically, underlying these averages, we found that while valence responses were highly consistent, there was large variability in motivational direction, with some people indicating they wanted to approach and others indicating they wanted to avoid while viewing the same picture. Individual differences in motivational direction were largest for sadness, so in Study 2 (N = 100) we tested whether they were predicted by appraisals of the situation (e.g., ratings of how welcome or useful people believed their help would be). The three appraisals tested accounted for 64% of the variance in motivational direction, after which valence made a very small unique contribution. These findings highlight that motivational direction and valence can diverge. Given the variability in individuals' motivational direction responses, future studies designed to assess the effects of motivational direction on cognitive processes need to tailor stimuli for each participant to ensure they activate the intended motivational direction. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
科研通智能强力驱动
Strongly Powered by AbleSci AI