Complex scenes from standardized stimuli databases such as the International Affective Picture System (IAPS) are organized dimensionally rather than discretely. Further, the potentially unique function of socially relevant scenes is often overlooked. This study sought to identify discrete categories of complex scenes from the IAPS and to explore if there were qualitative features that make the emotional content of some social scenes identifiable with higher levels of agreement. One hundred and three participants (53.4% female, mean age 24.4) judged 118 IAPS scenes as reflecting fear, happy, sad, or neutral. A second judgment study was conducted with a separate group of participants (N = 117; 79.2% female; mean age 30.41) to further characterize valid affective scenes across the full range of basic emotions. Sixty images received agreement on their emotional category from >70% of judges and were considered valid. IAPS identifier codes for these images are available for reference (along with the supplementary material from the second judgment study), organized by emotional and social content. An incidental observation was such that compared to nonsocial scenes, lower agreement rates were observed for social scenes across the board. Qualitative features of social scenes that were classified into emotional categories based on higher levels of agreement are discussed.

中文翻译：

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来自国际情感图片系统（IAPS）的复杂场景。

来自标准化刺激数据库（例如国际情感图片系统（IAPS））的复杂场景是按维度而非按离散方式组织的。此外，社交相关场景的潜在独特功能通常被忽略。这项研究试图从IAPS中识别复杂场景的离散类别，并探讨是否存在定性特征，从而可以通过较高的协议水平来识别某些社交场景的情感内容。一百零三名参与者（女性占53.4％，平均年龄24.4）认为118例IAPS场景反映出恐惧，快乐，悲伤或中立。对另一组参与者（N = 117；女性79.2％；平均年龄30.41）进行了第二项判断研究，以进一步表征整个基本情感中的有效情感场景。超过70％的评委对60幅图像的情感类别表示同意，并被认为是有效的。这些图像的IAPS标识符代码可供参考（以及第二次判断研究的补充材料），这些代码由情感和社交内容组成。偶然的观察结果是，与非社交场景相比，整个社交场景的协议达成率都较低。讨论了基于较高协议水平将社交场景定性为情感类别的定性特征。偶然的观察结果是，与非社交场景相比，整个社交场景的协议达成率都较低。讨论了基于较高协议水平将社交场景定性为情感类别的定性特征。偶然的观察结果是，与非社交场景相比，整个社交场景的协议达成率都较低。讨论了基于较高协议水平将社交场景定性为情感类别的定性特征。