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Outputs (9)

Robots in Pain, Humans in Play: Soma as a Qualitative Method for Investigating Intelligent Human-Robot Configurations (2024)
Presentation / Conference Contribution
Chamberlain, A., Ngo, V., McGarry, G., Kucukyilmaz, A., Benford, S., & Higgins, A. (2025, February). Robots in Pain, Humans in Play: Soma as a Qualitative Method for Investigating Intelligent Human-Robot Configurations. Presented at Designing for Bodies: Practices, Imaginaries and Discourses, University of Southern Denmark, Kolding

In this piece we start to explore the ways in which we somatise our interaction with robots as a symbiotic system - both as human and robot, and as human-robot. We also consider the ways that we might want to take our physical nature (existence), for... Read More about Robots in Pain, Humans in Play: Soma as a Qualitative Method for Investigating Intelligent Human-Robot Configurations.

Augmenting musical instruments with digital identities (2024)
Journal Article
Benford, S., McGarry, G., Hazzard, A., Chamberlain, A., Gibson, R., & Avila, J. P. M. (2024). Augmenting musical instruments with digital identities. Journal of New Music Research, https://doi.org/10.1080/09298215.2024.2423613

We explore how augmenting musical instruments with digital identities can enhance their provenance, utility during creative practice, and personal meaning. A literature review reveals the importance of object identities in general and instrument iden... Read More about Augmenting musical instruments with digital identities.

Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI (2024)
Presentation / Conference Contribution
McGarry, G., Crabtree, A., Chamberlain, A., & Urquhart, L. D. (2024, September). Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI. Presented at Second International Symposium on Trustworthy Autonomous Systems (TAS ’24), Austin, Texas, USA

This paper explores expert accounts of autonomous systems (AS) development in the medical device domain (MD) involving applications of artificial intelligence (AI), machine learning (ML), and other algorithmic and mathematical modelling techniques. W... Read More about Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI.

AI and the iterable epistopics of risk (2024)
Journal Article
Crabtree, A., McGarry, G., & Urquhart, L. (2024). AI and the iterable epistopics of risk. AI & Society, https://doi.org/10.1007/s00146-024-02021-y

The risks AI presents to society are broadly understood to be manageable through ‘general calculus’, i.e., general frameworks designed to enable those involved in the development of AI to apprehend and manage risk, such as AI impact assessments, ethi... Read More about AI and the iterable epistopics of risk.

Towards a master narrative for trust in autonomous systems: Trust as a distributed concern (2022)
Journal Article
Lindley, J., Green, D. P., McGarry, G., Pilling, F., Coulton, P., & Crabtree, A. (2023). Towards a master narrative for trust in autonomous systems: Trust as a distributed concern. Journal of Responsible Technology, 13, 100057. https://doi.org/10.1016/j.jrt.2022.100057


In this paper we present findings of research into Trust, specifically within the context of Autonomous Systems. The research is based upon an exploratory workshop attended by domain experts from academia and industry. The aim of t... Read More about Towards a master narrative for trust in autonomous systems: Trust as a distributed concern.

The cardboard box study: understanding collaborative data management in the connected home (2021)
Journal Article
Kilic, D., Crabtree, A., McGarry, G., & Goulden, M. (2022). The cardboard box study: understanding collaborative data management in the connected home. Personal and Ubiquitous Computing, 26(1), 155-176. https://doi.org/10.1007/s00779-021-01655-9

The home is a site marked by the increasing collection and use of personal data, whether online or from connected devices. This trend is accompanied by new data protection regulation and the development of privacy enhancing technologies (PETs) that s... Read More about The cardboard box study: understanding collaborative data management in the connected home.

Placing AI in the Creative Industries: The Case for Intelligent Music Production (2021)
Book Chapter
McGarry, G., Chamberlain, A., Crabtree, A., & Greenhalgh, C. (2021). Placing AI in the Creative Industries: The Case for Intelligent Music Production. . Springer. https://doi.org/10.1007/978-3-030-78635-9_72

The digital transformation of the recording industry is one of the most well-known in recent times, with the Digital Audio Workstation (DAW) making new methods of music production available to amateurs and professionals in almost any setting beyond t... Read More about Placing AI in the Creative Industries: The Case for Intelligent Music Production.

"They're all going out to something weird": Workflow, legacy and metadata in the music production process (2017)
Presentation / Conference Contribution
McGarry, G., Tolmie, P., Benford, S., Greenhalgh, C., & Chamberlain, A. (2017, February). "They're all going out to something weird": Workflow, legacy and metadata in the music production process. Presented at 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW'17), Portland, Oregon, USA

In this paper we use results from two ethnographic studies of the music production process to examine some key issues regarding how work is currently accomplished in studio production environments. These issues relate in particular to workflows and h... Read More about "They're all going out to something weird": Workflow, legacy and metadata in the music production process.