Gain-loss separability in human- but not computer-based changes of mind

背景(考古学) 建议(编程) 心理学 延迟(音频) 自动化 计算机科学 领域(数学分析) 不对称 社会心理学 认知心理学 工程类 数学 物理 生物 数学分析 古生物学 机械工程 程序设计语言 电信 量子力学
作者
Yongling Lin,Pengfei Xu,Jiayu Fan,Ruolei Gu,Yuejia Luo
出处
期刊:Computers in Human Behavior [Elsevier BV]
卷期号:143: 107712-107712 被引量:1
标识
DOI:10.1016/j.chb.2023.107712
摘要

The effect of human-based advice on decision-making represents a "gain-loss asymmetry," as people tend to conform to others' advice in the loss than in the gain domain; however, it is unknown whether the same is true for automatically generated advice. To address a research gap in the literature created by ignoring the gain-loss dimension, we compared the utilization of human- and computer-based advices in the gain and loss domains, separately. Sixty-seven college volunteers were given an opportunity to change their initial decision in a gain- or loss-related context after receiving human- or computer-based advice. Event-related potentials were recorded including the N2 (reflecting psychological conflict) and P3 (reflecting subjective confidence) components. Behavioral data revealed a classic "gain-loss asymmetry" effect in the human-based condition, but not in the computer-based condition, indicating that computerized advice utilization remained prominent across different domains. Moreover, the human-based condition showed a larger option-evoked P3 in the gain than in the loss domain, but no difference was found for the computer-based condition; P3 latency was longer in the human-than in the computer-based condition. These findings support the "automation bias" hypothesis (i.e., automations are trusted more than humans), and may help develop automated advice systems.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
2秒前
皮老师发布了新的文献求助10
2秒前
幸福大白完成签到,获得积分10
3秒前
4秒前
Cml发布了新的文献求助30
5秒前
河大谢广坤完成签到,获得积分10
5秒前
6秒前
7秒前
111111发布了新的文献求助10
7秒前
10秒前
陌予发布了新的文献求助10
11秒前
12秒前
缓慢的开山完成签到 ,获得积分10
14秒前
15秒前
量子星尘发布了新的文献求助10
17秒前
ash完成签到,获得积分20
19秒前
19秒前
20秒前
英俊的铭应助月月采纳,获得10
23秒前
ash发布了新的文献求助100
23秒前
周也发布了新的文献求助10
23秒前
文献菜鸟完成签到 ,获得积分10
24秒前
淅淅12345完成签到,获得积分20
24秒前
小二郎应助zhan采纳,获得10
24秒前
27秒前
27秒前
osmanthus完成签到,获得积分10
27秒前
feng1235完成签到,获得积分10
29秒前
拓木幸子完成签到,获得积分10
30秒前
热心市民小红花应助陈昊采纳,获得10
30秒前
31秒前
lcr发布了新的文献求助10
32秒前
Ginkgo完成签到 ,获得积分10
33秒前
安静海露完成签到,获得积分10
33秒前
34秒前
zhan完成签到,获得积分10
35秒前
顾矜应助anna采纳,获得10
35秒前
朴素的士晋完成签到 ,获得积分10
35秒前
37秒前
思源应助YJ888采纳,获得10
37秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989069
求助须知:如何正确求助?哪些是违规求助? 3531351
关于积分的说明 11253589
捐赠科研通 3269939
什么是DOI,文献DOI怎么找? 1804851
邀请新用户注册赠送积分活动 882074
科研通“疑难数据库(出版商)”最低求助积分说明 809073