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Outputs (13)

Digital Musicianship: Evaluation of the Digital Score Research from the North American Tour 2023 (2024)
Book Chapter
Moroz, S., & Vear, C. (2024). Digital Musicianship: Evaluation of the Digital Score Research from the North American Tour 2023. In K. A., P. R., M. I. C., P. J. B., G. S., O. M., …S. A (Eds.), GAPS2 - Global Arts and Psychology Seminar "Creativity in music and the arts": 14-16 September 2023 York, Graz, La Plata, & Melbourne: BOOK OF ABSTRACTS. University of Graz. https://doi.org/10.25364/554.2024.1

At the start of 2023, DigiScore visited the US and North America to evaluate higher education music students’ wants and needs from digital musicianship education through engagement with digital scores. This work is part of the DigiScore research proj... Read More about Digital Musicianship: Evaluation of the Digital Score Research from the North American Tour 2023.

Towards sentience: A path through jazz, datasets and digital scores (2024)
Presentation / Conference Contribution
Poltronieri, F., & Vear, C. (2024, June). Towards sentience: A path through jazz, datasets and digital scores. Paper presented at International Symposium of Electronic Art 2024, Brisbane, Australia

This short paper is a provocation in which we lean into the notion of sentience in Creative-AI music. The purpose of this is to highlight that a critical component when using bucket terms such as ”creativity”, ”intelligence” or ”sentience” in the des... Read More about Towards sentience: A path through jazz, datasets and digital scores.

Jess+: AI and robotics with inclusive music-making (2024)
Presentation / Conference Contribution
Vear, C., Hazzard, A., Moroz, S., & Benerradi, J. (2024). Jess+: AI and robotics with inclusive music-making. In CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems (1-17). https://doi.org/10.1145/3613904.3642548

This paper discusses the findings from a cross-sector research project investigating how a digital score created using AI and robotics might stimulate new creative opportunities and relationships within the practices of an inclusive music ensemble. T... Read More about Jess+: AI and robotics with inclusive music-making.

Building an Embodied Musicking Dataset for co-creative music-making (2024)
Presentation / Conference Contribution
Vear, C., Poltronieri, F., DiDonato, B., Zhang, Y., Benerradi, J., Hutchinson, S., …Malekmohamadi, H. (2024). Building an Embodied Musicking Dataset for co-creative music-making. In Lecture Notes in Computer Science (373-388). https://doi.org/10.1007/978-3-031-56992-0_24

In this paper, we present our findings of the design, development and deployment of a proof-of-concept dataset that captures some of the physiological, musicological, and psychological aspects of embodied musicking. After outlining the conceptual ele... Read More about Building an Embodied Musicking Dataset for co-creative music-making.

Evaluation of digital musicianship in higher education through playing and creating digital scores (2024)
Presentation / Conference Contribution
Moroz, S., Vear, C., & Poltronieri, F. (2024). Evaluation of digital musicianship in higher education through playing and creating digital scores. In Tenor Zurich 2024 (18-28)

This paper presents an evaluation of digital musicianship with digital scores. Primary data was gathered during the DigiScore “Roadshow”of North American universities’ music departments in 2023 and an extended research workshop in Avellino, Italy, 20... Read More about Evaluation of digital musicianship in higher education through playing and creating digital scores.

Generating emotional music based on improved C-RNN-GAN (2024)
Presentation / Conference Contribution
Shi, X., & Vear, C. (2024). Generating emotional music based on improved C-RNN-GAN. In Lecture Notes in Computer Science (357-372). https://doi.org/10.1007/978-3-031-56992-0_23

This study introduces an emotion-based music generation model built upon the foundation of C-RNN-GAN, incorporating conditional GAN, and utilizing emotion labels to create diverse emotional music. Two evaluation methods were employed in this study to... Read More about Generating emotional music based on improved C-RNN-GAN.

Transforming Practice with Digital Scores: Developments and Challenges in a Transcontinental Residency (2024)
Journal Article
Robertson, J., Moroz, S., Hope, C., Vear, C., Sanadzadeh, I., Svoboda, H., & Sobek, C. (in press). Transforming Practice with Digital Scores: Developments and Challenges in a Transcontinental Residency. Tempo, 78(309),

This article examines how practice-based researchers in a transcontinental intensive residency transformed their practice and developed their skills through composing digital scores. Four researchers from an Australian university undertook an intensi... Read More about Transforming Practice with Digital Scores: Developments and Challenges in a Transcontinental Residency.

Diving Deep with Nautilus: An Analysis of Musicking with a Digital Score (2024)
Journal Article
Vear, C., & Moroz, S. (2024). Diving Deep with Nautilus: An Analysis of Musicking with a Digital Score. Journal of Creative Music Systems, 8(1), https://doi.org/10.5920/jcms.1261

In this article, we discuss the analytical findings from a qualitative investigation of musicking (Small, 1998) with a digital score. The main focus of this article is our methodology and the outline of our methods. The composition at the centre of t... Read More about Diving Deep with Nautilus: An Analysis of Musicking with a Digital Score.

Human-AI Musicking: A Framework for Designing AI for Music Co-creativity (2023)
Presentation / Conference Contribution
Vear, C., Benford, S., Avila, J. M., & Moroz, S. (2023). Human-AI Musicking: A Framework for Designing AI for Music Co-creativity.

In this paper, we present a framework for understanding human-AI musicking. This framework prompts a series of questions for reflecting on various aspects of the creative interrelationships between musicians and AI and thus can be used as a tool for... Read More about Human-AI Musicking: A Framework for Designing AI for Music Co-creativity.

Five Provocations for a More Creative TAS (2023)
Presentation / Conference Contribution
Benford, S., Hazzard, A., Vear, C., Webb, H., Chamberlain, A., Greenhalgh, C., …Marshall, J. (2023). Five Provocations for a More Creative TAS. In TAS ‘23: Proceedings of The First International Symposium on Trustworthy Autonomous Systems 11-12 July 2023 Edinburgh, UK. https://doi.org/10.1145/3597512.3599709

Conventional wisdom has it that trustworthy autonomous systems (AS) should be explainable, dependable, controllable and safe tools for humans to use. Reflecting on a portfolio of artistic applications of TAS leads us adopt an alternative stance and t... Read More about Five Provocations for a More Creative TAS.