Skip navigation

VR open scores: scores as inspiration for VR scenarios

VR open scores: scores as inspiration for VR scenarios

Masu, Raul, Bala, Paulo, Ahmad, M. Asif, Do Nascimento Correia, Nuno ORCID: 0000-0002-9999-9162, Nisi, Valentina, Nunes, Nuno and Romão, Teresa (2020) VR open scores: scores as inspiration for VR scenarios. In: NIME New Interfaces for Musical Expression. NIME, pp. 109-114. ISSN 2220-4806

PDF (Author's Accepted Manuscript)
28047 CORREIA_VR_Open_Scores_As_Inspiration_For_VR_Scenarios_(AAM)_2020.pdf - Accepted Version
Available under License Creative Commons Attribution.

Download (723kB) | Preview


In this paper, we introduce the concept of VR Open Scores: aleatoric score-based virtual scenarios where an aleatoric score is embedded in a virtual environment. This idea builds upon the notion of graphic scores and composed in- strument, and apply them in a new context. Our proposal also explores possible parallels between open meaning in interaction design, and aleatoric score, conceptualized as Open Work by the Italian philosopher Umberto Eco. Our approach has two aims. The first aim is to create an envi- ronment where users can immerse themselves in the visual elements of a score while listening to the corresponding mu- sic. The second aim is to facilitate users to develop a per- sonal relationship with both the system and the score. To achieve those aims, as a practical implementation of our proposed concept, we developed two immersive scenarios: a 360o video and an interactive space. We conclude pre- senting how our design aims were accomplished in the two scenarios, and describing positive and negative elements of our implementations.

Item Type: Conference Proceedings
Title of Proceedings: NIME New Interfaces for Musical Expression
Uncontrolled Keywords: NIME, musical score, virtual reality, immersion
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > School of Computing & Mathematical Sciences (CAM)
Related URLs:
Last Modified: 26 Nov 2020 23:01
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics