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Before, Between, and After: Enriching Robot Communication Surrounding Collaborative Creative Activities.

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Summary
This summary is machine-generated.

This study introduces an emotional audio system for musical robots to improve human perception. The system enhances creativity metrics and likability by aligning robot communication with its musical function.

Keywords:
creativityhuman-robot interactionimprovisationmusicroboticssoundtext-to-speech

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Area of Science:

  • Robotics
  • Human-Robot Interaction
  • Artificial Intelligence

Background:

  • Creative robotics research is expanding into music, art, and language.
  • Limited research exists on how non-performance interactions affect human perception of creative robots.
  • Musical robots' interactions before, between, and after performances are crucial but understudied.

Purpose of the Study:

  • To develop and evaluate a novel audio system for musical robots that uses emotional musical prosody.
  • To enhance human perception of robots by matching their communication to their creative process.
  • To enable real-time dialogue and interaction between humans and musical robots.

Main Methods:

  • Developed a custom dataset for musical prosody.
  • Combined deep learning (Conditional Convolution Variational Auto-encoder) with an emotion-tagged audio sampler for real-time generation.
  • Compared the system to a state-of-the-art text-to-speech system on a marimba-playing robot named Shimon.
  • Conducted a user study with 100 participants observing human-robot interaction.

Main Results:

  • The new audio system increased user ratings for novelty and coherence.
  • Expressivity ratings were maintained across implementations.
  • Communicating in a manner related to the robot's core functionality improved likeability and perceived intelligence.
  • Ratings for animacy and anthropomorphism remained unchanged.

Conclusions:

  • Robot interactions surrounding performances significantly influence human perception.
  • Aligning robot communication with its creative function enhances positive user perceptions.
  • This research provides insights into designing more engaging and perceptually intelligent creative robots.