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
WYB完成签到 ,获得积分10
2秒前
星辰大海应助暮谷采纳,获得10
3秒前
summer应助遍地捡糖不要钱采纳,获得30
3秒前
千初完成签到,获得积分10
3秒前
4秒前
缓慢机器猫完成签到,获得积分10
4秒前
4秒前
戳戳发布了新的文献求助10
5秒前
ding应助zhang123采纳,获得30
5秒前
毛毛发布了新的文献求助10
5秒前
6秒前
7秒前
molihuakai应助wings采纳,获得10
7秒前
9秒前
9秒前
卫子善发布了新的文献求助10
11秒前
12秒前
12秒前
陈老师耶发布了新的文献求助10
12秒前
完美世界应助wdd采纳,获得10
12秒前
CipherSage应助Nextone采纳,获得10
13秒前
13秒前
骡马市的阿强应助wanzixian采纳,获得10
13秒前
英吉利25发布了新的文献求助10
14秒前
旋律发布了新的文献求助10
14秒前
15秒前
充电宝应助无限绮南采纳,获得10
15秒前
今后应助陶陶采纳,获得10
15秒前
16秒前
丘比特应助亚铁氰化钾采纳,获得10
16秒前
断鸿发布了新的文献求助10
16秒前
curry完成签到,获得积分10
16秒前
卫子善完成签到,获得积分20
16秒前
开放的正豪完成签到 ,获得积分10
17秒前
17秒前
钠电发布了新的文献求助10
19秒前
机灵曼荷完成签到,获得积分10
19秒前
12332145678发布了新的文献求助10
19秒前
19秒前
wings发布了新的文献求助10
19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
Römisch-Germanische Forschungen 1000
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Green Fire Retardants for Polymeric Materials 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 7616937
求助须知:如何正确求助?哪些是违规求助? 9192330
关于积分的说明 19699647
捐赠科研通 7189464
什么是DOI,文献DOI怎么找? 3271944
关于科研通互助平台的介绍 2434728
邀请新用户注册赠送积分活动 2266945