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IMAGINE Personalities: Augmenting Digital Character Workflows Using Motion Capture, Wearable Sensors, and Live

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Emerging sensor technologies enhance digital character personality expression in trans-media projects. Movement and interaction are key, alongside context and audience, for creating resonant digital characters.

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Area of Science:

  • Digital character design
  • Human-computer interaction
  • Media studies

Background:

  • Traditional digital characters rely on movement for trait expression.
  • Emerging sensor technologies offer new avenues for dynamic character design.
  • Integration of motion capture, biosensors, and live coding enables embodied character expression.

Purpose of the Study:

  • To examine how sensor-based technologies augment personality expression in digital characters across media.
  • To explore the Wheel of Personality model's application in sensor-mediated character design.
  • To develop and evaluate prototypes for expressive digital characters.

Main Methods:

  • Developed four prototypes (animation, games, interactive performance, networked environments) using sensor technologies.
  • Applied the Wheel of Personality model (Character Structure, Motion-Action, Interaction, Environment).
  • Conducted user evaluation with 14 participants using questionnaires and interviews.

Main Results:

  • Movement and interaction were the most influential cues for perceived personality.
  • Environmental factors' impact varied across different media types.
  • Narration and audience personality also influenced character perception.

Conclusions:

  • Digital character personality emerges from multimodal cues and context.
  • Sensor technologies provide novel methods for designing expressive and emotionally resonant characters.
  • Findings offer insights for trans-media character design and development.