Department of Psychology, University of South Carolina, Columbia, SC, USA.
Department of Psychology, University of California Riverside, Riverside, CA, USA.
Behav Res Methods. 2024 Dec;56(8):8269-8288. doi: 10.3758/s13428-024-02473-6. Epub 2024 Aug 15.
Eye tracking provides direct, temporally and spatially sensitive measures of eye gaze. It can capture visual attention patterns from infancy through adulthood. However, commonly used screen-based eye tracking (SET) paradigms are limited in their depiction of how individuals process information as they interact with the environment in "real life". Mobile eye tracking (MET) records participant-perspective gaze in the context of active behavior. Recent technological developments in MET hardware enable researchers to capture egocentric vision as early as infancy and across the lifespan. However, challenges remain in MET data collection, processing, and analysis. The present paper aims to provide an introduction and practical guide to starting researchers in the field to facilitate the use of MET in psychological research with a wide range of age groups. First, we provide a general introduction to MET. Next, we briefly review MET studies in adults and children that provide new insights into attention and its roles in cognitive and socioemotional functioning. We then discuss technical issues relating to MET data collection and provide guidelines for data quality inspection, gaze annotations, data visualization, and statistical analyses. Lastly, we conclude by discussing the future directions of MET implementation. Open-source programs for MET data quality inspection, data visualization, and analysis are shared publicly.
眼动追踪提供了直接的、时间和空间敏感的注视测量。它可以从婴儿期到成年期捕捉视觉注意模式。然而,常用的基于屏幕的眼动追踪(SET)范式在描述个体如何在“现实生活”中与环境互动时处理信息方面存在局限性。移动眼动追踪(MET)记录参与者在主动行为背景下的视角注视。MET 硬件的最新技术发展使研究人员能够在婴儿期和整个生命周期内捕捉自我中心视觉。然而,MET 数据收集、处理和分析仍然存在挑战。本文旨在为该领域的初学者提供一个介绍和实用指南,以促进 MET 在具有广泛年龄组的心理学研究中的应用。首先,我们对 MET 进行了概述。接下来,我们简要回顾了成人和儿童的 MET 研究,这些研究为注意力及其在认知和社会情感功能中的作用提供了新的见解。然后,我们讨论了与 MET 数据收集相关的技术问题,并为数据质量检查、注视标注、数据可视化和统计分析提供了指南。最后,我们通过讨论 MET 的实施未来方向来结束本文。用于 MET 数据质量检查、数据可视化和分析的开源程序被公开共享。