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
陶醉的铅笔完成签到,获得积分10
刚刚
Leisure_Lee完成签到,获得积分10
2秒前
CipherSage应助哈哈哈采纳,获得10
3秒前
美猪猪发布了新的文献求助10
3秒前
SciGPT应助sarchi采纳,获得10
3秒前
3秒前
Hoshino发布了新的文献求助30
4秒前
闪闪w完成签到,获得积分10
4秒前
科目三应助董家旭采纳,获得10
6秒前
王允完成签到,获得积分20
6秒前
8秒前
NexusExplorer应助发的不太好采纳,获得10
10秒前
王允发布了新的文献求助30
11秒前
bkagyin应助冷酷的松思采纳,获得10
11秒前
12秒前
英俊的铭应助YY采纳,获得10
13秒前
冷酷从云发布了新的文献求助10
15秒前
17秒前
ZYP驳回了英姑应助
18秒前
自信夏寒应助GELIN采纳,获得10
19秒前
青月小飞龙完成签到,获得积分10
21秒前
21秒前
美味又健康完成签到 ,获得积分10
22秒前
今后应助美猪猪采纳,获得10
23秒前
24秒前
hihihihihi完成签到 ,获得积分10
25秒前
发的不太好完成签到,获得积分10
26秒前
27秒前
万能图书馆应助kun采纳,获得10
29秒前
豆沙包789发布了新的文献求助10
31秒前
xxq发布了新的文献求助10
31秒前
zjy完成签到,获得积分10
32秒前
33秒前
大河完成签到,获得积分10
35秒前
38秒前
Hello应助Tom_and_jerry采纳,获得10
38秒前
39秒前
39秒前
39秒前
隐形曼青应助勤恳的元绿采纳,获得10
41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
Modern Epidemiology, Fourth Edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Signals, Systems, and Signal Processing 610
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 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6018383
求助须知:如何正确求助?哪些是违规求助? 7606838
关于积分的说明 16159054
捐赠科研通 5166032
什么是DOI,文献DOI怎么找? 2765153
邀请新用户注册赠送积分活动 1746686
关于科研通互助平台的介绍 1635339