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Creative Action at a Distance: A Conceptual Framework for Embodied Performance With Robotic Actors.

Philipp Wicke1, Tony Veale1

  • 1School of Computer Science, University College Dublin, Belfield, Ireland.

Frontiers in Robotics and AI
|May 17, 2021
PubMed
Summary

This study presents a framework for robotic storytelling, focusing on how robots can interpret scripts creatively through movement and gestures. Emotionally-grounded choices are hypothesized to enhance robotic performances beyond mere execution.

Keywords:
computational creativityembodimentroboticsspatial movementstorytelling

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Performance Studies
  • Cognitive Science

Background:

  • Creative performances like acting and dancing, while scripted, rely on active interpretation and embodied schemas.
  • Current robotic systems often lack the nuanced interpretation needed for creative expression in storytelling.
  • Understanding the link between embodied movement, gesture, and creative interpretation is crucial for advancing human-robot interaction.

Purpose of the Study:

  • To propose a theoretical framework for performance and interpretation in robotic storytelling.
  • To define a taxonomy of basic schematic movements and key gesture types for robotic performance.
  • To hypothesize how emotionally-grounded choices can foster creativity in scripted robotic performances.

Main Methods:

  • Developing a performance framework grounded in movement theory and a taxonomy of schematic movements and gestures.
  • Formulating hypotheses for an interpretation framework focusing on emotional grounding, metaphor, and blending.
  • Integrating empirical research to support the theoretical and hypothetical components.

Main Results:

  • A theoretical framework for robotic performance, including a taxonomy of movements and gestures.
  • A hypothesis suggesting that emotional grounding enhances robotic creativity through metaphor and blending.
  • Empirical grounding for the proposed theories and hypotheses.

Conclusions:

  • The proposed framework offers a structured approach to robotic performance and interpretation.
  • Emotionally-grounded choices are key to enabling creative expression in scripted robotic storytelling.
  • This work provides a foundation for future research in creative robotics and embodied AI.