Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition

Renaud Bougueng Tchemeube; Jeffrey Ens; Cale Plut; Philippe Pasquier; Maryam Safi; Yvan Grabit; Jean-Baptiste Rolland

IJCAI 2023poster17 citations

Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition

Renaud Bougueng Tchemeube, Jeffrey Ens, Cale Plut, Philippe Pasquier, Maryam Safi, Yvan Grabit, Jean-Baptiste Rolland

Abstract

With the rise of artificial intelligence (AI), there has been increasing interest in human-AI co-creation in a variety of artistic domains including music as AI-driven systems are frequently able to generate human-competitive artifacts. Now, the implications of such systems for the musical practice are being investigated. This paper reports on a thorough evaluation of the user adoption of the Multi-Track Music Machine (MMM) as a minimal co-creative AI tool for music composers. To do this, we integrate MMM into Cubase, a popular Digital Audio Workstation (DAW), by producing a "1-parameter" plugin interface named MMM-Cubase, which enables human-AI co-composition. We conduct a 3-part mixed method study measuring usability, user experience and technology acceptance of the system across two groups of expert-level composers: hobbyists and professionals. Results show positive usability and acceptance scores. Users report experiences of novelty, surprise and ease of use from using the system, and limitations on controllability and predictability of the interface when generating music. Findings indicate no significant difference between the two user groups.

Theory and philosophy of arts and creativity in AI systems: Evaluation of artistic or creative outputs produced by AI SystemsApplication domains: Music and soundMethods and resources: Machine learning, deep learning, neural models, reinforcement learningTheory and philosophy of arts and creativity in AI systems: Social (multi-agent) creativity and human-computer co-creationTheory and philosophy of arts and creativity in AI systems: Support of human creativity

BibTeX

@inproceedings{ijcai2023p640,
  title     = {Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition},
  author    = {Bougueng Tchemeube, Renaud and Ens, Jeffrey and Plut, Cale and Pasquier, Philippe and Safi, Maryam and Grabit, Yvan and Rolland, Jean-Baptiste},
  booktitle = {Proceedings of the Thirty-Second International Joint Conference on
               Artificial Intelligence, {IJCAI-23}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Edith Elkind},
  pages     = {5769--5778},
  year      = {2023},
  month     = {8},
  note      = {AI and Arts},
  doi       = {10.24963/ijcai.2023/640},
  url       = {https://doi.org/10.24963/ijcai.2023/640},
}