Pictures with affective content have been widely used in the scientific study of emotions, from two main perspectives: on the one hand, dimensional theories claiming that affective experiences can be described according to a few fundamental dimensions such as valence and arousal, and on the other hand, discrete-category theories proposing the presence of a number of basic and universal emotions. Although it has been demonstrated that these two approaches are not mutually exclusive, the existing standardized affective picture databases have been created from the dimensional perspective, which has led to important gaps for research focused on discrete emotions. The present work introduces MATTER, a new database comprising 540 pictures depicting disgusting, fearful, neutral, erotic, mirthful and incongruent content, which provides normative values (total N = 368, mean = 120.47 ratings/picture) in valence and arousal dimensions, as well as in discrete affective (disgust, fear, erotica and mirth) and cognitive (incongruence and interest) features. A tentative classification into discrete categories is presented, and the physical properties of each picture are reported. Our findings suggest that MATTER constitutes a modern and suitable set of affective images including, for the first time, both mirth- and incongruence-related pictures. Additionally, it will enable the examination of affective and cognitive processes in fear/disgust and humor/incongruence fields.

带有情感内容的图片在情感科学研究中得到了广泛的应用，主要从两个角度来看：一方面，维度理论声称情感体验可以根据价态和唤醒等几个基本维度来描述，另一方面手，离散范畴理论提出了一些基本的和普遍的情绪的存在。尽管已经证明这两种方法并不相互排斥，但现有的标准化情感图片数据库是从维度的角度创建的，这导致了关注离散情感的研究存在重要空白。本作品介绍了 MATTER，这是一个新的数据库，包含 540 张描绘恶心、恐惧、中性、色情、欢乐和不一致内容的图片，N  = 368，平均 = 120.47 评分/图片）在效价和唤醒维度，以及离散的情感（厌恶、恐惧、色情和欢乐）和认知（不一致和兴趣）特征。呈现了对离散类别的初步分类，并报告了每张图片的物理特性。我们的研究结果表明，物质构成了一组现代且合适的情感图像，包括第一次与欢乐和不协调相关的图片。此外，它还可以检查恐惧/厌恶和幽默/不一致领域的情感和认知过程。