Research Article
Evaluating music performance and context-sensitivity with Immersive Virtual Environments
@ARTICLE{10.4108/ct.2.2.e3, author={Donald Glowinski and Na\`{\i}m Baron and Kanika Shirole and S\^{e}lim Yahia Coll and Lina Chaabi and Tamara Ott and Marc-Andr\^{e} Rappaz and Didier Grandjean}, title={Evaluating music performance and context-sensitivity with Immersive Virtual Environments}, journal={EAI Endorsed Transactions on Creative Technologies}, volume={2}, number={2}, publisher={ICST}, journal_a={CT}, year={2015}, month={2}, keywords={Virtual Immersive environment, body expressivity, Music Performance}, doi={10.4108/ct.2.2.e3} }
- Donald Glowinski
Naëm Baron
Kanika Shirole
Sélim Yahia Coll
Lina Chaabi
Tamara Ott
Marc-André Rappaz
Didier Grandjean
Year: 2015
Evaluating music performance and context-sensitivity with Immersive Virtual Environments
CT
ICST
DOI: 10.4108/ct.2.2.e3
Abstract
This study explores a unique experimental protocol that evaluates how a musician’s sensitivity to social context during performance can be analysed through a combination of behavioral analysis, self-report and Immersive Virtual Environment (IVE). An original application has been developed to create audience of avatars that display different motivational states that are known to affect musician's performance. The musicians’ body expressions have then been recorded through a motion capture system and analysed as they relate to audience motivational state. The musician subjective experience has been captured after each performance through semi-structured interviews. Preliminary results depict the strategies implicitly employed by four expert violinists during their performances under the various contexts (empty room and engaged and disengaged audience of avatars). Finally, this study discusses the way to improve methodology, analyses and real-world responses to musician's needs.
Copyright © 2015 Donald Glowinski et al., licensed to ICST. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.