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

Max Graf, and Mathieu Barthet

Proceedings of the International Conference on New Interfaces for Musical Expression

• Year: 2022
• Location: The University of Auckland, New Zealand
• Article Number: 44
• DOI: 10.21428/92fbeb44.56ba9b93 (Link to paper)
• PDF link
• Presentation Video

Abstract:

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.

Citation:

BibTeX Entry:

  @inproceedings{NIME22_44,
 abstract = {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.},
 address = {The University of Auckland, New Zealand},
 articleno = {44},
 author = {Graf, Max and Barthet, Mathieu},
 booktitle = {Proceedings of the International Conference on New Interfaces for Musical Expression},
 doi = {10.21428/92fbeb44.56ba9b93},
 issn = {2220-4806},
 month = {jun},
 pdf = {59.pdf},
 presentation-video = {https://youtu.be/qhE5X3rAWgg},
 title = {Mixed Reality Musical Interface: Exploring Ergonomics and Adaptive Hand Pose Recognition for Gestural Control},
 url = {https://doi.org/10.21428%2F92fbeb44.56ba9b93},
 year = {2022}
}