The relationship between self, value-based reward, and emotion prioritisation effects

心理学 认知心理学 联想(心理学) 认知 集合(抽象数据类型) 优势(遗传学) 结合属性 感知 相关性 社会心理学 计算机科学 神经科学 数学 化学 生物化学 几何学 程序设计语言 基因 心理治疗师 纯数学
作者
Ala Yankouskaya,Gemma Lovett,Jie Sui
出处
期刊:Quarterly Journal of Experimental Psychology [SAGE Publishing]
卷期号:76 (4): 942-960 被引量:11
标识
DOI:10.1177/17470218221102887
摘要

People show systematic biases in perception, memory, attention, and decision-making to prioritise information related to self, reward, and positive emotion. A long-standing set of experimental findings points towards putative common properties of these effects. However, the relationship between them remains largely unknown. Here, we addressed this question by assessing and linking these prioritisation effects generated by a common associative matching procedure in three experiments. Self, reward, and positive emotion prioritisation effects were assessed using cluster and shift function analyses to explore and test associations between these effects across individuals. Cluster analysis revealed two distinct patterns of the relationship between the biases. Individuals with faster responses showed a smaller reward and linear positive association between reward and emotion biases. Individuals with slower responses demonstrated a large reward and no association between reward and emotion biases. No evidence of the relationship between self and value-based reward or positive emotion prioritisation effects was found among the clusters. A shift function indicated a partial dominance of high-reward over low-reward distributions at later processing stages in participants with slower but not faster responses. Full stochastic dominance of self-relevance over others and positive over neutral emotion was pertinent to each subgroup of participants. Our findings suggest the independent origin of the self-prioritisation effect. In contrast, commonalities in cognitive mechanisms supporting value-based reward and positive emotion processing are subject to individual differences. These findings add important evidence to a steadily growing research base about the relationship between basic behavioural drivers.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
cling发布了新的文献求助10
刚刚
cloudup233发布了新的文献求助10
刚刚
1秒前
潇洒醉冬完成签到,获得积分10
1秒前
1秒前
科研通AI6.4应助上岸采纳,获得10
1秒前
小易发布了新的文献求助10
3秒前
3秒前
青丝完成签到,获得积分10
4秒前
传奇3应助Chingyi采纳,获得10
5秒前
李涵霖发布了新的文献求助10
5秒前
天涯飞虎发布了新的文献求助10
5秒前
5秒前
chaoschen完成签到,获得积分10
6秒前
sqgg发布了新的文献求助10
6秒前
小易完成签到,获得积分10
7秒前
张欢馨应助昏睡的白秋采纳,获得10
8秒前
8秒前
9秒前
威武苑睐发布了新的文献求助50
10秒前
乐观尔容发布了新的文献求助10
10秒前
10秒前
sunzy发布了新的文献求助10
10秒前
10秒前
满意的文涛完成签到 ,获得积分10
11秒前
上官若男应助cloudup233采纳,获得10
11秒前
PizzaBob发布了新的文献求助10
12秒前
852应助海棠拾月采纳,获得10
13秒前
Jasper应助phy采纳,获得10
14秒前
sqgg完成签到,获得积分10
15秒前
15秒前
16秒前
16秒前
华仔应助俭朴书桃采纳,获得10
16秒前
在水一方应助骀荡采纳,获得10
17秒前
erkk发布了新的文献求助10
18秒前
18秒前
乐观尔容完成签到,获得积分10
18秒前
陈蒙医生发布了新的文献求助10
19秒前
Owen应助愚林2024采纳,获得10
20秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
煤炭地下气化渗流燃烧方法的研究 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7632459
求助须知:如何正确求助?哪些是违规求助? 9206857
关于积分的说明 19745945
捐赠科研通 7201833
什么是DOI,文献DOI怎么找? 3274824
关于科研通互助平台的介绍 2436740
邀请新用户注册赠送积分活动 2271539