来自国际情感图片系统的图像的情感类别数据。
Emotional category data on images from the International Affective Picture System.
作者信息
Mikels Joseph A, Fredrickson Barbara L, Larkin Gregory R, Lindberg Casey M, Maglio Sam J, Reuter-Lorenz Patricia A
机构信息
University of Michigan, Ann Arbor, Michigan, USA.
出版信息
Behav Res Methods. 2005 Nov;37(4):626-30. doi: 10.3758/bf03192732.
Abstract
The International Affective Picture System (IAPS) is widely used in studies of emotion and has been characterized primarily along the dimensions of valence, arousal, and dominance. Even though research has shown that the IAPS is useful in the study of discrete emotions, the categorical structure of the IAPS has not been characterized thoroughly. The purpose of the present project was to collect descriptive emotional category data on subsets of the LAPS in an effort to identify images that elicit onediscrete emotion more than others. These data reveal multiple emotional categories for the images and indicate that this image set has great potential in the investigation of discrete emotions. This article makes these data available to researchers with such interests. Data for all the pictures are archived at www.psychonomic.org/archive/.
摘要
国际情感图片系统（IAPS）在情绪研究中被广泛使用，其主要特点是在效价、唤醒度和优势度维度上。尽管研究表明IAPS在离散情绪研究中很有用，但IAPS的分类结构尚未得到充分描述。本项目的目的是收集关于IAPS子集的描述性情绪类别数据，以识别比其他图片更能引发单一离散情绪的图片。这些数据揭示了图片的多个情绪类别，并表明该图片集在离散情绪研究中具有巨大潜力。本文将这些数据提供给有此类兴趣的研究人员。所有图片的数据都存档于www.psychonomic.org/archive/ 。
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