Slone Lauren K, Abney Drew H, Borjon Jeremy I, Chen Chi-Hsin, Franchak John M, Pearcy Daniel, Suarez-Rivera Catalina, Xu Tian Linger, Zhang Yayun, Smith Linda B, Yu Chen
Department of Psychological and Brain Sciences, Indiana University;
Department of Psychological and Brain Sciences, Indiana University.
J Vis Exp. 2018 Nov 14(141). doi: 10.3791/58496.
Young children's visual environments are dynamic, changing moment-by-moment as children physically and visually explore spaces and objects and interact with people around them. Head-mounted eye tracking offers a unique opportunity to capture children's dynamic egocentric views and how they allocate visual attention within those views. This protocol provides guiding principles and practical recommendations for researchers using head-mounted eye trackers in both laboratory and more naturalistic settings. Head-mounted eye tracking complements other experimental methods by enhancing opportunities for data collection in more ecologically valid contexts through increased portability and freedom of head and body movements compared to screen-based eye tracking. This protocol can also be integrated with other technologies, such as motion tracking and heart-rate monitoring, to provide a high-density multimodal dataset for examining natural behavior, learning, and development than previously possible. This paper illustrates the types of data generated from head-mounted eye tracking in a study designed to investigate visual attention in one natural context for toddlers: free-flowing toy play with a parent. Successful use of this protocol will allow researchers to collect data that can be used to answer questions not only about visual attention, but also about a broad range of other perceptual, cognitive, and social skills and their development.
幼儿的视觉环境是动态的，随着幼儿通过身体和视觉探索空间、物体以及与周围的人互动，环境时刻都在变化。头戴式眼动追踪提供了一个独特的机会，来捕捉幼儿以自我为中心的动态视角，以及他们在这些视角中如何分配视觉注意力。本方案为研究人员在实验室和更自然的环境中使用头戴式眼动追踪器提供了指导原则和实用建议。与基于屏幕的眼动追踪相比，头戴式眼动追踪通过提高便携性以及头部和身体运动的自由度，在更符合生态效度的环境中增加了数据收集的机会，从而补充了其他实验方法。该方案还可以与其他技术（如运动追踪和心率监测）集成，以提供一个高密度的多模态数据集，用于研究自然行为、学习和发展，这是以往无法做到的。本文展示了在一项旨在研究幼儿在一种自然情境（与父母自由玩耍玩具）中的视觉注意力的研究中，头戴式眼动追踪所产生的数据类型。成功使用本方案将使研究人员能够收集可用于回答不仅关于视觉注意力，还关于广泛的其他感知、认知和社交技能及其发展等问题的数据。
