清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Stronger attentional biases can be linked to higher reward rate in preferential choice

心理学 认知心理学
作者
Veronika Zilker
出处
期刊:Cognition [Elsevier]
卷期号:225: 105095-105095 被引量:9
标识
DOI:10.1016/j.cognition.2022.105095
摘要

When attention is biased to a particular option during information search preceding preferential choice, this option is often more likely to be chosen-even if its value is objectively lower than that of the alternative. This article demonstrates that although attentional biases-even to lower-valued options-may reduce accuracy (the tendency to choose the highest-valued option), they can increase reward rate (the amount of reward obtained per unit of time invested in the choice). To achieve a higher reward rate it is often preferable to choose a lower-valued option quickly rather than spend time trying to identify the highest-valued option. Attentional biases are typically associated with faster choices, and in terms of reward rate, this reduction in response time can often compensate for the accompanying decrease in accuracy. This relationship between attention, response time, and reward rate is modulated by features of the choice environment and by individual differences in choice boundaries and in the attentional amplification of evidence accumulation. These patterns are predicted theoretically by the attentional drift diffusion model (aDDM). A reanalysis of empirical data from several eye-tracking studies shows that these predicted patterns also hold empirically across various domains of preferential choice (riskless and risky choice, options of monetary rewards and of food items). It may therefore often be beneficial for decision makers to allocate their attention in a biased manner-that is, to deliberately ignore information on some options-in order to reduce the time cost of choice and thereby achieve a higher reward rate.

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
幽默赛君完成签到 ,获得积分10
3秒前
雪山飞龙完成签到,获得积分10
13秒前
雪山飞龙发布了新的文献求助10
19秒前
蛋白积聚完成签到,获得积分10
23秒前
颜林林完成签到,获得积分10
25秒前
徐团伟完成签到 ,获得积分10
30秒前
喜悦的唇彩完成签到,获得积分10
32秒前
万金油完成签到 ,获得积分10
36秒前
RED发布了新的文献求助10
39秒前
量子星尘发布了新的文献求助10
39秒前
nine2652完成签到 ,获得积分10
42秒前
冷静的尔竹完成签到,获得积分10
43秒前
creep2020完成签到,获得积分10
50秒前
muriel完成签到,获得积分0
50秒前
科研通AI2S应助科研通管家采纳,获得10
52秒前
nanfang完成签到 ,获得积分10
59秒前
1分钟前
一盏壶完成签到,获得积分10
1分钟前
Fairy完成签到,获得积分10
1分钟前
poki完成签到 ,获得积分10
1分钟前
山是山三十三完成签到 ,获得积分10
1分钟前
1分钟前
在水一方完成签到,获得积分0
2分钟前
可夫司机完成签到 ,获得积分10
2分钟前
Emperor完成签到 ,获得积分0
2分钟前
我是笨蛋完成签到 ,获得积分10
2分钟前
2分钟前
明理从露完成签到 ,获得积分10
2分钟前
冷傲半邪完成签到,获得积分10
3分钟前
1437594843完成签到 ,获得积分10
3分钟前
三水完成签到 ,获得积分10
4分钟前
量子星尘发布了新的文献求助20
4分钟前
pegasus0802完成签到,获得积分10
4分钟前
RED发布了新的文献求助10
4分钟前
4分钟前
小怪完成签到,获得积分10
4分钟前
4分钟前
4分钟前
lx完成签到,获得积分10
4分钟前
GMEd1son完成签到,获得积分10
4分钟前
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
Binary Alloy Phase Diagrams, 2nd Edition 8000
Building Quantum Computers 800
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Natural Product Extraction: Principles and Applications 500
Exosomes Pipeline Insight, 2025 500
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5664590
求助须知:如何正确求助?哪些是违规求助? 4865694
关于积分的说明 15108114
捐赠科研通 4823215
什么是DOI,文献DOI怎么找? 2582091
邀请新用户注册赠送积分活动 1536184
关于科研通互助平台的介绍 1494567