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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]
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.
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