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Creativity and Visual Communication from Machine to Musician: Sharing a Score through a Robotic Camera

arXiv 2409.05773 ↗First posted 9 Sep 2024cs.HC cs.AI cs.CVcited by 0

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Abstract (arXiv)

This paper explores the integration of visual communication and musical interaction by implementing a robotic camera within a "Guided Harmony" musical game. We aim to examine co-creative behaviors between human musicians and robotic systems. Our research explores existing methodologies like improvisational game pieces and extends these concepts to include robotic participation using a PTZ camera. The robotic system interprets and responds to nonverbal cues from musicians, creating a collaborative and adaptive musical experience. This initial case study underscores the importance of intuitive visual communication channels. We also propose future research directions, including parameters for refining the visual cue toolkit and data collection methods to understand human-machine co-creativity further. Our findings contribute to the broader understanding of machine intelligence in augmenting human creativity, particularly in musical settings.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 3 of its 24 references that are in the map. First posted on arXiv 9 Sep 2024.

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3 of 24 references.

References · 3

  1. 2021Autonomous Vehicles that Alert Humans to Take-Over Controls: Modeling with Real-World Datacited by 13
  2. 2023Safe Control Transitions: Machine Vision Based Observable Readiness Index and Data-Driven Takeover Time Predictioncited by 12
  3. 2021Restoring Eye Contact to the Virtual Classroom with Machine Learningcited by 1

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