Dataset: What makes a teddy bear comforting?

This dataset relates to a study intended to identify whether particular physical and sensory characteristics contribute to making a bear more comforting. These data were collected as part of a participatory experiment during the European Researchers' Night, on September 27, 2019, in 13 French cities simultaneously (395 participants). The file "data_teddybears" corresponds to the raw data, whose meaning and coding of each variable is detailed in the file "data_teddybears_metadata". The file "data_teddybears_finals" corresponds to sorted data ( the stuffed animals that were not teddy bears and unusable photographs (blurred or not well framed) were removed. The outliers were identified by hand and removed. Inconsistent data in metric measurements were manually corrected using ImageJ software (https://imagej.nih.gov/ij/) based on the photographs and using the test charts as a standardized metric scale. Finally, the metric measurements were log transformed and standardized.

本数据集关联一项旨在探究特定物理与感官特征是否会让泰迪熊玩偶更具抚慰效果的研究。相关数据采集自2019年9月27日于13座法国城市同步开展的"欧洲研究者之夜"参与式实验，共计招募395名参与者。文件"data_teddybears"对应原始数据集，各变量的含义与编码规则详见文件"data_teddybears_metadata"。文件"data_teddybears_finals"为经过清洗规整后的数据集：已剔除非泰迪熊的毛绒玩偶、模糊或取景不佳的无效照片，并通过人工识别移除了异常值。针对量测数据中的不一致项，研究人员基于拍摄照片，并以测试卡作为标准化量测标尺，通过ImageJ软件完成了人工修正。最终，对量测数据进行了对数变换与标准化处理。

搜集汇总

背景与挑战

背景概述

该数据集名为'What makes a teddy bear comforting?'，专注于研究泰迪熊提供情感安慰的物理和感官特征，基于2019年欧洲研究人员之夜在13个法国城市进行的参与式实验收集，涉及395名参与者。数据集包含原始数据和经过清理、标准化处理的最终数据，分类为心理学领域，适用于情感安慰和过渡性对象相关研究。