To imagine or Not to Imagine? A Meta-Analysis Investigating the Effectiveness of Mental Simulation on Behavior

心理学 荟萃分析 计算机科学 应用心理学 医学 内科学
作者
Gizem Ceylan,Kristin Diehl,Wendy Wood
出处
期刊:Social Science Research Network [Social Science Electronic Publishing]
被引量:1
标识
DOI:10.2139/ssrn.4041557
摘要

Mental simulation is an important tool for managers who want consumers to imagine what life would be like if they engage in a new behavior. However, academic research found inconsistent effects of mental simulation on behavior. To understand this inconsistency, we conduct a meta-analysis and quantify the effect of different mental simulation prompts on behavior. Based on a cross-disciplinary dataset of 166 effect sizes spanning four decades (1980-2020) and representing 23,488 respondents, we identify three distinct simulation paradigms, quantify their effectiveness, and map them onto marketing practice: Studies that prompt simulation once (most common in academic research and akin to A/B tests in practice) revealed a very small, positive effect on behavior. Studies that used repeated and spaced prompts (e.g., weekly, akin to real-world marketing campaigns) yielded a large-sized positive effect. Studies that used repeated and massed prompts (e.g., in the same session, akin to encountering high-frequency ads online) revealed a medium-sized but negative effect on behavior. Further, imagery especially increased behavior in studies with enhanced visual prompts (e.g., AR) and studies that used moderately familiar targets, material purchases, or indulgent food. We explain the implications of these findings for theory and practice and identify novel avenues for research.

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
刚刚
1秒前
科研通AI6.4应助瘦瘦雁蓉采纳,获得10
1秒前
sylinmm发布了新的文献求助10
1秒前
无限绮南完成签到,获得积分10
1秒前
1秒前
wutianbao完成签到,获得积分10
2秒前
YangRR完成签到 ,获得积分10
2秒前
2秒前
科研通AI6.2应助鹤轸采纳,获得10
2秒前
666完成签到,获得积分20
2秒前
Mic应助蝗虫采纳,获得10
3秒前
3秒前
3秒前
杨杨170完成签到,获得积分10
3秒前
单身的青柏完成签到,获得积分10
3秒前
4秒前
科研通AI6.1应助清浅时光采纳,获得30
5秒前
666发布了新的文献求助10
5秒前
整齐巧蕊发布了新的文献求助10
5秒前
CodeCraft应助0美团外卖0采纳,获得10
6秒前
Yola完成签到,获得积分10
6秒前
激情的鼠标完成签到,获得积分20
6秒前
whatever发布了新的文献求助50
6秒前
7秒前
cps完成签到,获得积分10
7秒前
西贝发布了新的文献求助10
7秒前
王乐安发布了新的文献求助10
7秒前
神速闪电发布了新的文献求助10
7秒前
四顾剑发布了新的文献求助10
8秒前
8秒前
ziluolan007完成签到 ,获得积分10
9秒前
9秒前
9秒前
一路高飛完成签到,获得积分10
9秒前
10秒前
高贵振家发布了新的文献求助10
10秒前
11秒前
11秒前
科研通AI6.4应助sunny采纳,获得10
11秒前
高分求助中
Metallurgy at high pressures and high temperatures 2000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 1000
Relationship between smartphone usage in changes of ocular biometry components and refraction among elementary school children 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
应急管理理论与实践 530
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6336842
求助须知:如何正确求助?哪些是违规求助? 8152442
关于积分的说明 17124644
捐赠科研通 5392135
什么是DOI,文献DOI怎么找? 2857896
邀请新用户注册赠送积分活动 1835434
关于科研通互助平台的介绍 1686035