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Introducing ACASS: An Annotated Character Animation Stimulus Set for Controlled (e)Motion Perception Studies.

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This study introduces a standardized animation dataset for recognizing human actions and emotions. The ACASS database allows researchers to study movement perception, aiding social psychology and neuroscience research.

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Area of Science:

  • Cognitive Psychology
  • Social Neuroscience
  • Computer Animation

Background:

  • Understanding others' actions, intentions, and emotions relies on observing movement.
  • Previous research faced limitations due to a lack of standardized stimuli for comparing action recognition and emotion inference.
  • Confounding factors like low-level physical features and stimulus difficulty hindered comparative studies.

Purpose of the Study:

  • To present a novel, standardized stimulus dataset for investigating both action recognition and emotion inference using identical stimuli.
  • To overcome confounds present in existing stimulus materials by controlling for physical and psychological features.
  • To provide a resource for research in social psychology, social neuroscience, and clinical studies.

Main Methods:

  • Developed a dataset of 792 computer-animated clips of a neutral avatar performing six everyday actions in three moods, based on motion capture data.
  • Utilized MATLAB routines to standardize low-level physical features (e.g., luminance, pixel dynamics) across animations.
  • Conducted an online observer study to assess recognition rates, leading to a refined subset of 32 animations for reliable action and emotion identification.

Main Results:

  • Created a comprehensive stimulus set (ACASS database) with controlled physical properties, reducing confounds in movement perception research.
  • Identified and refined a subset of animations with high recognition rates for specific actions (mopping, sweeping) and emotions (angry, happy).
  • The database and its subsets are publicly available for research applications.

Conclusions:

  • The ACASS database offers a unique, standardized resource for studying the distinct mechanisms of action recognition and emotion inference.
  • This dataset facilitates research by minimizing confounds related to physical and psychological features of stimuli.
  • The availability of the ACASS database supports advancements in understanding social perception and communication disorders.