Coretet: A Dynamic Virtual Musical Instrument for the Twenty-First Century

Hamilton, Rob

doi:10.1109/vr.2019.8797680

Cited by 4 publications

(2 citation statements)

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“…responses from an interview. Following the definition from Braun & Clarke, "[TA] is a method for systematically identifying, organizing, and offering insight into patterns of meaning (themes) across a data set" [38]. As a qualitative research tool, its goal is to deduce meaning from data across a dataset.…”

Section: Data Analysis Method: Thematic Analysismentioning

confidence: 99%

“…Serafin et al [26] proposed to classify existing VRMIs into two categories: Works falling into the first category include the virtual membrane, xylophone and gestural FM synthesizer [2], Cirque des bouteilles (blowing on virtual bottles to produce sounds) [3] and the Coretet bowed string VRMIs [4]. There is a low entry barrier for performers, due to the VRMIs' close resemblance with physical instruments.…”

Section: Designing Vrmismentioning

confidence: 99%

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Mixed Reality Musical Interface: Exploring Ergonomics and Adaptive Hand Pose Recognition for Gestural Control

Graf

Barthet

Nime 2022

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The study of extended reality musical instruments is a burgeoning topic in the field of new interfaces for musical expression. We developed a mixed reality musical interface (MRMI) as a technology probe to inspire design for experienced musicians. We namely explore (i) the ergonomics of the interface in relation to musical expression and (ii) user-adaptive hand pose recognition as gestural control. The MRMI probe was experienced by 10 musician participants (mean age: 25.6 years [SD=3.0], 6 females, 4 males). We conducted a user evaluation comprising three stages. After an experimentation period, participants were asked to accompany a pre-recorded piece of music. In a post-task stage, participants took part in semi-structured interviews, which were subjected to thematic analysis. Prevalent themes included reducing the size of the interface, issues with the field of view of the device and physical strain from playing. Participants were largely in favour of hand poses as expressive control, although this depended on customisation and temporal dynamics; the use of interactive machine learning (IML) for user-adaptive hand pose recognition was well received by participants.

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Section: Data Analysis Method: Thematic Analysismentioning

confidence: 99%

Section: Designing Vrmismentioning

confidence: 99%