{"type":"ScholarlyArticle","title":"Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition","authors":[{"name":"Renaud Bougueng Tchemeube","slug":"renaud-bougueng-tchemeube","given":"Renaud","family":"Bougueng Tchemeube","affiliation":"Simon Fraser University ,"},{"name":"Jeffrey Ens","slug":"jeffrey-ens","given":"Jeffrey","family":"Ens","affiliation":"Simon Fraser University ,"},{"name":"Cale Plut","slug":"cale-plut","given":"Cale","family":"Plut","affiliation":"Simon Fraser University ,"},{"name":"Philippe Pasquier","slug":"philippe-pasquier","given":"Philippe","family":"Pasquier","affiliation":"Simon Fraser University ,"},{"name":"Maryam Safi","slug":"maryam-safi","given":"Maryam","family":"Safi","affiliation":"Steinberg Media Technologies GmbH"},{"name":"Yvan Grabit","slug":"yvan-grabit","given":"Yvan","family":"Grabit","affiliation":"Steinberg Media Technologies GmbH"},{"name":"Jean-Baptiste Rolland","slug":"jean-baptiste-rolland","given":"Jean-Baptiste","family":"Rolland","affiliation":"Steinberg Media Technologies GmbH"}],"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.","doi":"10.24963/ijcai.2023/640","url":"https://ijcai.org/proceedings/2023/640","pdf":"https://ijcai.org/proceedings/2023/0640.pdf","markdown":"https://ijcai.org/proceedings/2023/640.md","bibtex":"https://ijcai.org/proceedings/2023/bibtex/640","volume":{"slug":"2023","title":"Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2023","url":"https://ijcai.org/proceedings/2023/","year":2023,"location":"Macao, SAR","dates":"19-25 August 2023","editors":"Edith Elkind","isbn":"978-1-956792-03-4","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2023"},"section":"AI and Arts","track":"AI and Arts","number":640,"pages":{"first":5769,"last":5778},"keywords":["Methods and resources: Machine learning, deep learning, neural models, reinforcement learning","Theory and philosophy of arts and creativity in AI systems: Support of human creativity","Application domains: Music and sound","Theory and philosophy of arts and creativity in AI systems: Evaluation of artistic or creative outputs produced by AI Systems","Theory and philosophy of arts and creativity in AI systems: Social (multi-agent) creativity and human-computer co-creation"],"videos":[],"references":[{"position":1,"raw":"[Alemi and Pasquier, 2017] Omid Alemi and Philippe Pasquier. 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