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Picture databases are commonly used in experimental work on various aspects of emotion processing. However, existing standardized facial databases, typically used to explore emotion recognition, can be augmented with more contextual information for studying emotion and social perception. Moreover, the perception of social engagement, i.e., the degree of interaction or engagement inferred between the people in target pictures, has not been measured. In this paper, we describe the development of a database comprising 203 black-and-white line drawings depicting people within various situational contexts, and normed on perceived emotional valence, intensity, and social engagement, a new construct. Analyses of ratings collected from 62 young adults (30 females, 32 males; mean age 22 years) revealed the typical quadratic relationship between valence and intensity, i.e., stimuli that are more emotionally charged, whether positively or negatively valenced, are more intense than emotionally-neutral stimuli. Moreover, the results showed significant linear and quadratic relationships between valence and social engagement ratings, indicating that emotionally-charged social scenes were perceived as more engaging than emotionally-neutral social scenes. This new database will facilitate investigations of how people perceive and interpret social and emotional information in everyday interactions, and is offered as a resource to experimenters involved in social and/or emotional processing research.

PiSCES: Pictures with social context and emotional scenes with norms for emotional valence, intensity, and social engagement