This paper describes a promising methodology for studying co-located groups: mobile eye-trackers. We provide a comprehensive description of our data collection and analysis processes so that other researchers can take advantage of this cutting-edge technology. Data were collected in a controlled experiment where 27 student dyads (N = 54) interacted with a Tangible User Interface. They first had to define some design principles for optimizing a warehouse layout by analyzing a set of Contrasting Cases, and build a small-scale layout based on those principles. The contributions of this paper are that: 1) we replicated prior research showing that levels of Joint Visual Attention (JVA) are correlated with collaboration quality across all groups; 2) we then qualitatively analyzed two dyads with high levels of JVA and show that it can hide a free-rider effect (Salomon and Globerson 1989); 3) in conducting this analysis, we additionally developed a new visualization (augmented cross-recurrence graphs) that allows researchers to distinguish between high JVA groups that have balanced and unbalanced levels of participations; 4) finally, we generalized this effect to the entire sample and found a significant negative correlation between dyads’ learning gains and unbalanced levels of participation (as computed from the eye-tracking data). We conclude by discussing implications for automatically analyzing students’ interactions using dual eye-trackers.

中文翻译：

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利用移动眼动仪在同一地点的协作学习小组中获得共同的视觉注意力

本文介绍了一种研究位于同一地点的群体的有前途的方法：移动眼动仪。我们对数据收集和分析过程进行了全面描述，以便其他研究人员可以利用这一尖端技术。在一个对照实验中收集了数据，其中有27个学生二元组（N = 54）与有形用户界面进行了交互。他们首先必须通过分析一组对比案例来定义一些用于优化仓库布局的设计原则，并根据这些原则构建小规模的布局。本文的贡献在于：1）我们复制了先前的研究，表明联合视觉注意（JVA）的水平与所有组的协作质量相关；2）然后我们定性分析了两个JVA含量高的二元组，并表明它可以隐藏搭便车的效果（Salomon和Globerson 1989）；3）在进行分析时，我们还开发了一种新的可视化（增强的交叉递归图），使研究人员能够区分参与程度平衡和不平衡的高JVA组；4）最后，我们将这种影响推广到整个样本，并发现二元组的学习成果与不平衡的参与水平之间存在显着的负相关（根据眼动数据计算）。最后，我们讨论了使用双眼跟踪仪自动分析学生互动的含义。