Seeing Is Believing: Using Eye-Tracking Devices in Environmental Research

眼动 凝视 人机交互 眼球运动 固定(群体遗传学) 包裹体(矿物) 心理学 计算机科学 应用心理学 人工智能 社会心理学 医学 环境卫生 人口
作者
Zhipeng Lu,Homa Pesarakli
出处
期刊:Herd: Health Environments Research & Design Journal [SAGE Publishing]
卷期号:16 (1): 15-52 被引量:9
标识
DOI:10.1177/19375867221130806
摘要

Objectives: This article aims to provide methodological guidance for research that uses eye-tracking devices (ETDs) to study environment and behavior relationships. Background: Vision is an important human sense through which people acquire a large amount of environmental information. ETDs are tools for detecting eye/gaze behaviors, facilitating better understanding about how people collect visual information and how such information is related to emotions and psychological states. However, there is a lack of guidance for the application of ETDs to environment and behavior studies. Methods: A literature review was conducted on articles reporting empirical studies that used ETDs. The data were extracted and compiled, including information such as research questions, research design, types of ETDs, variables measured, types of physical environment (or visual stimuli), stimuli durations, data analysis methods, and so on. Results: Fifty articles were identified. The main research topics were related to urban and landscape environments, and architecture and interior spaces. Most of the research designs were experimental or quasi-experimental designs, with a few cross-sectional studies. The majority types of ETDs were screen-based ETDs, followed by mobile ETDs (glasses). Main variables were gaze fixations, fixation durations, and scan paths. Typical types of stimuli included images, videos, virtual reality, and real environments and/or objects. Conclusions: Guidance for eye-tracking research on environment and behavior was developed based on the literature review results, to provide direction for determining research questions, selecting appropriate research designs, establishing participant inclusion and/or excluding criteria, collecting and analyzing data, and interpreting research results.

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
plz94完成签到 ,获得积分10
1秒前
maple完成签到 ,获得积分10
3秒前
某某完成签到,获得积分10
3秒前
JJ完成签到 ,获得积分10
5秒前
5秒前
7秒前
btcat完成签到,获得积分0
7秒前
甜甜的tiantian完成签到 ,获得积分10
8秒前
nimoo发布了新的文献求助10
10秒前
hkh发布了新的文献求助10
11秒前
旅行者N0501完成签到,获得积分10
14秒前
nimoo完成签到,获得积分10
17秒前
20秒前
Flynut完成签到,获得积分10
22秒前
liuz53完成签到,获得积分10
25秒前
煲煲煲仔饭完成签到 ,获得积分10
30秒前
30秒前
30秒前
王不凡完成签到 ,获得积分10
31秒前
DOUBLE完成签到,获得积分10
32秒前
XU博士完成签到,获得积分10
34秒前
pupu发布了新的文献求助10
36秒前
aajhajkahna举报佩琪求助涉嫌违规
36秒前
gstaihn发布了新的文献求助10
36秒前
lulufighting完成签到,获得积分10
42秒前
秋雨梧桐完成签到 ,获得积分10
42秒前
pupu完成签到,获得积分10
44秒前
机灵曼青完成签到 ,获得积分10
49秒前
50秒前
biubiubiu完成签到 ,获得积分10
55秒前
小莫完成签到 ,获得积分10
56秒前
蓝莓芝士完成签到 ,获得积分10
57秒前
仁和完成签到 ,获得积分10
1分钟前
tigger完成签到,获得积分10
1分钟前
王贤平完成签到,获得积分10
1分钟前
沉静的清涟完成签到,获得积分10
1分钟前
汪小南完成签到,获得积分10
1分钟前
许大脚完成签到 ,获得积分10
1分钟前
Moyee完成签到,获得积分10
1分钟前
辰辰完成签到 ,获得积分10
1分钟前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 2000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Curating Socialism: A Handbook of International Art Exhibitions 1947-1989 750
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
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 7521931
求助须知:如何正确求助?哪些是违规求助? 9108894
关于积分的说明 19447386
捐赠科研通 7125241
什么是DOI,文献DOI怎么找? 3254909
关于科研通互助平台的介绍 2423118
邀请新用户注册赠送积分活动 2241713