In recent years, in the field of education, there has been a clear progressive trend toward
precision education. As a rapidly evolving AI technique, machine learning is viewed as an …

Group awareness (GA) tools can facilitate learning processes and outcomes by visualizing
different social attributes, such as cognitive and behavioral information about group …

Eye tracking can facilitate understanding irrational decision-making in contexts such as
financial risk-taking. For this purpose, we develop an experimental framework in which …

We propose the use of a deep learning architecture, called RETINA, to predict multi-
alternative, multi-attribute consumer choice from eye movement data. RETINA directly uses …

This article endeavors to investigate the application of machine learning in behavioral
economics and behavioral finance to represent a profile of studies conducted in this field. To …

摘要眼动轨迹匹配法是近年来新兴的一种眼动数据分析方法, 该方法包括注视数据的预处理,
兴趣区划分和编码, 形成眼动轨迹字符串, 计算相似性得分四个步骤. 研究者采用眼动轨迹匹配法 …

Recent studies reported that the attraction effect, whereby inferior decoys cause choice
reversals, fails to replicate if the choice options are presented in a pictorial rather than …

Prediction of visual attention is a new and challenging subject, and to the best of our
knowledge, there are not many pieces of research devoted to the anticipation of students' …

Gaze data are still uncommon in statistics education despite their promise. Gaze data
provide teachers and researchers with a new window into complex cognitive processes …

Existing research has shown that human eye-movement data conveys rich information about
underlying mental processes, and that the latter may be inferred from the former. However …