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Good night, sleep tight (remix)

Dunne, J. ORCID: 0000-0001-9831-4195 (2018). Good night, sleep tight (remix). International Journal of Performance Arts and Digital Media, 14(2), pp. 215-223. doi: 10.1080/14794713.2018.1505385

Abstract

Good Night, Sleep Tight is an interactive virtual reality performance created by theatre and digital arts company ZU-UK. It was previewed at Gerry’s Kitchen in July 2017. Combining VR and binaural technologies, participants are put to bed and transported to a dreamscape composed of childhood imagery and aerial cityscapes. This artistic position remixes the audience’s experience and the artistic processes of Good Night, Sleep Tight to proffer a critical engagement with the aesthetics of VR. Theories pertaining to VR and theatre are emerging but not yet fully established. The discourse between technologists and artists is key to understanding how VR is a new artistic medium requiring a language not solely redolent of gaming or theatre. The format of this article reflects ZU-UK’s contention that VR experiences are best designed as collaborations between artists and audiences who construct an imaginary world through interactive media. The seven scenes below concentrate on different aspects of the rehearsal process and the final performance from the perspectives of the ZU-UK directors, VR technologists, and participants. Interspersed throughout the article are fragments from the Good Night, Sleep Tight script and a description of the piece from the reader’s perspective, who acts as ZU-UK’s imaginary audience member.

Publication Type: Article
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Performance Arts and Digital Media on5 Sep 2018, available online: http://www.tandfonline.com/10.1080/14794713.2018.1505385
Publisher Keywords: Interactive, participatory, binaural, childhood, VR, mixed reality
Subjects: N Fine Arts > N Visual arts (General) For photography, see TR
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Mathematics, Computer Science & Engineering > Library & Information Science
URI: http://openaccess.city.ac.uk/id/eprint/20876
[img] Text - Accepted Version
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