Human-Computer Interaction, Department of Computer Science, University of Tübingen, Tübingen, Germany.
Data Science and Analytics, Department of Computer Science, University of Tübingen, Tübingen, Germany.
Sci Data. 2021 Jun 16;8(1):154. doi: 10.1038/s41597-021-00938-3.
We present the TüEyeQ data set - to the best of our knowledge - the most comprehensive data set generated on a culture fair intelligence test (CFT 20-R), i.e., an IQ Test, consisting of 56 single tasks, taken by 315 individuals aged between 18 and 30 years. In addition to socio-demographic and educational information, the data set also includes the eye movements of the individuals while taking the IQ test. Along with distributional information we also highlight the potential for predictive analysis on the TüEyeQ data set and report the most important covariates for predicting the performance of a participant on a given task along with their influence on the prediction.
我们呈现了 TüEyeQ 数据集——据我们所知,这是在一项文化公平智力测试(CFT 20-R)上生成的最全面的数据集,即智商测试,由 315 名年龄在 18 至 30 岁之间的个体完成的 56 个单项任务组成。除了社会人口统计学和教育信息外,该数据集还包括个体在进行智商测试时的眼球运动信息。除了分布信息外,我们还强调了在 TüEyeQ 数据集上进行预测分析的潜力,并报告了预测参与者在给定任务上表现的最重要协变量及其对预测的影响。