School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK.
Experimental Psychology, University College London, London, UK.
Sci Data. 2024 Oct 1;11(1):1063. doi: 10.1038/s41597-024-03675-5.
Videos of magic tricks offer lots of opportunities to study the human mind. They violate the expectations of the viewer, causing prediction errors, misdirect attention, and elicit epistemic emotions. Herein we describe and share the Magic, Memory, and Curiosity (MMC) Dataset where 50 participants watched 36 magic tricks filmed and edited specifically for functional magnetic imaging (fMRI) experiments. The MMC Dataset includes a contextual incentive manipulation, curiosity ratings for the magic tricks, and incidental memory performance tested a week later. We additionally measured individual differences in working memory and constructs relevant to motivated learning. fMRI data were acquired before, during, and after learning. We show that both behavioural and fMRI data are of high quality, as indicated by basic validation analysis, i.e., variance decomposition as well as intersubject correlation and seed-based functional connectivity, respectively. The richness and complexity of the MMC Dataset will allow researchers to explore dynamic cognitive and motivational processes from various angles during task and rest.
魔术视频为研究人类思维提供了大量机会。它们违反了观众的预期，导致预测错误、注意力转移，并引发认知情绪。在此，我们描述并分享了 Magic, Memory, and Curiosity (MMC) 数据集，其中 50 名参与者观看了 36 个专为功能磁共振成像 (fMRI) 实验拍摄和编辑的魔术。MMC 数据集包括一个语境激励操作、对魔术的好奇心评分以及一周后进行的附带记忆表现测试。我们还测量了与动机学习相关的工作记忆和结构的个体差异。fMRI 数据在学习前后和学习期间采集。我们表明，行为和 fMRI 数据的质量都很高，这可以通过基本验证分析来指示，即方差分解以及受试者间相关性和基于种子的功能连接性。MMC 数据集的丰富性和复杂性将允许研究人员从不同角度探索任务和休息期间的动态认知和动机过程。
