In a Silent Way: Communication Between AI and Improvising Musicians Beyond Sound
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Abstract (arXiv)
Collaboration is built on trust, and establishing trust with a creative Artificial Intelligence is difficult when the decision process or internal state driving its behaviour isn't exposed. When human musicians improvise together, a number of extra-musical cues are used to augment musical communication and expose mental or emotional states which affect musical decisions and the effectiveness of the collaboration. We developed a collaborative improvising AI drummer that communicates its confidence through an emoticon-based visualisation. The AI was trained on musical performance data, as well as real-time skin conductance, of musicians improvising with professional drummers, exposing both musical and extra-musical cues to inform its generative process. Uni- and bi-directional extra-musical communication with real and false values were tested by experienced improvising musicians. Each condition was evaluated using the FSS-2 questionnaire, as a proxy for musical engagement. The results show a positive correlation between extra-musical communication of machine internal state and human musical engagement.
Key facts. Cited by 11 papers in the map (data through 14 Oct 2026). First posted on arXiv 18 Feb 2019.
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Citing papers per year: 2021: 2; 2022: 3; 2023: 2; 2024: 1; 2025: 2; 2026: 1.
11 papers.
- 2022Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systemscited by 59
- 2021Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Makingcited by 58
- 2022Explainable Computational Creativitycited by 8
- 2023Exploring XAI for the Arts: Explaining Latent Space in Generative Musiccited by 8
- 2023Exploring Variational Auto-Encoder Architectures, Configurations, and Datasets for Generative Music Explainable AIcited by 4
- 2021Crossing the Tepper Line: An Emerging Ontology for Describing the Dynamic Sociality of Embodied AIcited by 3
- 2025Improving User Experience with FAICO: Towards a Framework for AI Communication in Human-AI Co-Creativitycited by 2
- 2022Towards the Generation of Musical Explanations with GPT-3cited by 1
- 2024A Risk Taxonomy and Reflection Tool for Large Language Model Adoption in Public Healthcited by 1
- 2025Adaptive Human-Agent Teaming: A Review of Empirical Studies from the Process Dynamics Perspectivecited by 1
- 2026LK Jam: System Architecture and Implementation of a Real-Time Human-AI Interactive Music Generation System using Role-Aware GRUcited by 0
- 2026LK Jam: System Architecture and Implementation of a Real-Time Human-AI Interactive Music Generation System using Role-Aware GRU19 Jun 2026
- 2025Adaptive Human-Agent Teaming: A Review of Empirical Studies from the Process Dynamics Perspective15 Apr 2025
- 2025Improving User Experience with FAICO: Towards a Framework for AI Communication in Human-AI Co-Creativity3 Apr 2025
- 2024A Risk Taxonomy and Reflection Tool for Large Language Model Adoption in Public Health4 Nov 2024
- 2023Exploring Variational Auto-Encoder Architectures, Configurations, and Datasets for Generative Music Explainable AI14 Nov 2023
- 2023Exploring XAI for the Arts: Explaining Latent Space in Generative Music10 Aug 2023
- 2022Towards the Generation of Musical Explanations with GPT-311 May 2022
- 2022Explainable Computational Creativity11 May 2022
- 2022Designing Creative AI Partners with COFI: A Framework for Modeling Interaction in Human-AI Co-Creative Systems15 Apr 2022
- 2021Crossing the Tepper Line: An Emerging Ontology for Describing the Dynamic Sociality of Embodied AI15 Mar 2021
- 2021Understanding the Effect of Out-of-distribution Examples and Interactive Explanations on Human-AI Decision Making13 Jan 2021