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日内瓦情感图片数据库(GAPED):一个新的包含 730 张图片的数据库,重点关注效价和规范意义。

The Geneva affective picture database (GAPED): a new 730-picture database focusing on valence and normative significance.

机构信息

University of Geneva, Geneva, Switzerland,

出版信息

Behav Res Methods. 2011 Jun;43(2):468-77. doi: 10.3758/s13428-011-0064-1.

Abstract

In emotional research, efficient designs often rely on successful emotion induction. For visual stimulation, the only reliable database available so far is the International Affective Picture System (IAPS). However, extensive use of these stimuli lowers the impact of the images by increasing the knowledge that participants have of them. Moreover, the limited number of pictures for specific themes in the IAPS database is a concern for studies centered on a specific emotion thematic and for designs requiring a lot of trials from the same kind (e.g., EEG recordings). Thus, in the present article, we present a new database of 730 pictures, the Geneva Affective PicturE Database, which was created to increase the availability of visual emotion stimuli. Four specific negative contents were chosen: spiders, snakes, and scenes that induce emotions related to the violation of moral and legal norms (human rights violation or animal mistreatment). Positive and neutral pictures were also included: Positive pictures represent mainly human and animal babies as well as nature sceneries, whereas neutral pictures mainly depict inanimate objects. The pictures were rated according to valence, arousal, and the congruence of the represented scene with internal (moral) and external (legal) norms. The constitution of the database and the results of the picture ratings are presented.

摘要

在情感研究中,高效的设计通常依赖于成功的情感诱导。对于视觉刺激,目前唯一可靠的数据库是国际情感图片系统(IAPS)。然而,这些刺激物的广泛使用会降低图像的影响,因为参与者对它们的了解增加了。此外,IAPS 数据库中特定主题的图片数量有限,这对于以特定情感主题为中心的研究和需要大量同类型试验的设计(例如,脑电图记录)来说是一个问题。因此,在本文中,我们提出了一个新的 730 张图片的数据库,即日内瓦情感图片数据库,旨在增加视觉情感刺激的可用性。选择了四个特定的负面内容:蜘蛛、蛇和引发与道德和法律规范(侵犯人权或虐待动物)相关的情感的场景。还包括正面和中性的图片:正面的图片主要是人类和动物的婴儿以及自然风景,而中性的图片主要描绘无生命的物体。这些图片根据效价、唤醒度以及所代表场景与内部(道德)和外部(法律)规范的一致性进行了评分。本文介绍了数据库的构成和图片评分的结果。

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