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Lessons From Joint Improvisation Workshops for Musicians and Robotics Engineers
Anthonia Carter1, Marianthi Papalexandri-Alexandri2, Guy Hoffman3
1Information Science Department, Cornell University, Ithaca, NY, United States.
Frontiers in Robotics and AI
|April 26, 2021
Summary
This study explored human and artificial intelligence (AI) improvisation through workshops with musicians and robotics engineers. Findings reveal differing concepts of improvisation, informing future robot design.
Area of Science:
- Human-Computer Interaction
- Robotics
- Music Technology
- Artificial Intelligence
Background:
- Interdisciplinary design research is crucial for exploring complex interactions.
- Musical improvisation offers unique insights into real-time decision-making.
- AI and robotics can potentially enhance creative processes.
Purpose of the Study:
- To investigate how artificial intelligence (AI) and robotics can learn from human improvisers.
- To explore how AI and robotics can enhance musical improvisation and instruments.
- To understand the conceptual differences between musicians and engineers regarding improvisation.
Main Methods:
- Conducted a series of interdisciplinary workshops involving musicians and robotics engineers.
- Musicians presented improvisation theory and practice; engineers introduced AI principles.
- Follow-up workshops with engineering students elaborated on AI and robotics concepts.
Main Results:
- Identified parallels and discrepancies in how musicians and engineers conceptualize improvisation.
- Revealed distinct perspectives on time, space, actions, and decisions in improvisation.
- Highlighted the potential for AI and robotics to learn from human improvisational strategies.
Conclusions:
- The identified conceptual differences can guide the design of future improvising robots.
- Further research can bridge the gap between human creativity and AI capabilities in improvisation.
- Interdisciplinary collaboration is key to advancing AI in creative domains.
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