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<p>We introduce an updated set of video clips for research on emotion and its relations with perception, cognition, and behavior. These 1380 brief video clips each portray realistic episodes. They were selected to portray situations that vary widely in emotion. Undergraduate students rated the videos on emotional valence, arousal, impact, and familiarity. As expected, valence and arousal ratings were related in a U-shaped function, and arousal and impact were positively linearly associated with one another. Ratings of familiarity were near zero on average, verifying that the clips came from obscure sources. <i>k</i>-means cluster analysis revealed that they could be grouped by valence, arousal, and impact for selecting subsets for future studies. We also provide estimates of motion, luminance, contrast, and visual complexity to facilitate selection. The videos can be used in similar ways to static images but have the advantage of being dynamic and thus more ecologically valid.</p>

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The Second Database of Emotional Videos from Ottawa (DEVO-2): Over 1300 brief video clips rated on valence, arousal, impact, and familiarity

  • 期刊论文

  • 发表日期：

    2025年5月5日

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  • Patrick S. R. Davidson,
  • Alex W. Castro,
  • Steven Carton,
  • Vanessa Cunha,
  • Charles A. Collin

摘要

We introduce an updated set of video clips for research on emotion and its relations with perception, cognition, and behavior. These 1380 brief video clips each portray realistic episodes. They were selected to portray situations that vary widely in emotion. Undergraduate students rated the videos on emotional valence, arousal, impact, and familiarity. As expected, valence and arousal ratings were related in a U-shaped function, and arousal and impact were positively linearly associated with one another. Ratings of familiarity were near zero on average, verifying that the clips came from obscure sources. k-means cluster analysis revealed that they could be grouped by valence, arousal, and impact for selecting subsets for future studies. We also provide estimates of motion, luminance, contrast, and visual complexity to facilitate selection. The videos can be used in similar ways to static images but have the advantage of being dynamic and thus more ecologically valid.