Applied Theatre and Practice as Research: Polyphonic Conversations

Applied theatre practice as research might be perceived as a curious conflation. Not greatly foregrounded in the literature on applied theatre or performance practice as research, this article engages with the particularities of such a pairing. Beginning with identifying why a consideration is timely, ‘the practice as research’ and ‘social’ turns are invoked and analysed as relevant contexts to consider applied theatre practice as research. Two projects are offered, providing specific examples for discussion. Revealed by increased scrutiny, some broader epistemological questions emerge concerning power, hierarchy of knowledge and research ‘authoring’. A metaphor of polyphonic conversations is offered as an amplification of the applied theatre practical research methodological terrain. Encouraging the basis of many sets of voices contributing to research and potentially negotiating concerns about power hierarchies and knowledge production, the metaphor provokes a fluidity of epistemology, including expanding on the now familiar debates around theory and practice particularly relevant for socially engaged performance-related practical research

Splitting centre : directing attention in trans-media dance performance

In theatrical vernacular, the term ‘splitting centre’ refers to two performers staged at an equal distance from a centre point and sharing the focus of the audience. This term encapsulates the notion that two people (or, in the case of trans-media dance, two or more performance entities) are dividing the attention of the audience, operating as equal collaborators in a performance context. The augmentation of live performance with 3D projected scenography and mobile devices offers a starting point for discussions on the potential for dramaturgy, choreographic process, and changing expectations for audience behaviour in the theatre. In 2014, Deakin Motion.Lab premiered The Crack Up, a trans-media dance work that incorporated live performance, 3D digital scenography, and The Crack Up App, an app for mobile devices that audience members were invited to interact with during the performance. This investigation into the potential of trans-media dance performance, (defined here as a live performance in which both the digital and biological elements are choreographed as artistic equals within the theatrical context) with the addition of a mobile device raises questions about how the makers of trans-media dance might direct the attention of their audiences when the work is performed simultaneously across multiple platforms

Dancing the thesis : potential and pitfalls in practice-led research

Practice-led or multi modal these (describing examinable outcomes of postgraduate study which comprise the practice of dancing/choreography with an accompanying exegesis) are an emerging strength of dance scholarship; a form of enquiry that has been gaining momentum over a decade, particularly in Australia and the United Kingdom. It has been strongly argued that, in this form of research, legitimate claims to new knowledge are embodied predominantly within the practice itself (Pakes 2003) and that these findings are emergent, contingent and often interstitial contained within both the material form of the practice and in the symbolic languages surrounding the form.This paper draws on Dancing between diversity and consistency: Refining assessment in postgraduate studies in dance, a study conducted with funding by the Australian Learning and Teaching Council 2006-2008, to critically examine some of the issues raised by such degrees. The study\u27s structure formed around extensive literature reviews into higher degree dance studies; general examination/assessment discussions at research masters and doctoral levels; and issues arising from the relatively new artistic degrees involving practice components. Focus group discussions and semi-structured interviews with 74 supervisors/examiners, research deans and administrators, and candidates/graduates elicited the views on assessing practice-led dance research of two principal participant groups; the professional dance community represented by Ausdance (The Australian Dance Council) and the staff and student cohort of Australian universities who offered dance or related postgraduate degrees.Tensions arose through the project specifically in terms of deciding what kinds of articulations of practice-led dance research might be acceptable at the PhD level. Here, we address underlying issues of interdisciplinarity that arise from the current common practice of requiring a written requirement for PhD theses. This leads to a consideration of how differing cultural inflections and practices might be incorporated into our reading and evaluation of theses, how creative approaches to layered documentation can function as durable artifacts of creative research while contributing to the overall \u27knowledge generation\u27 of the thesis, and what kinds of language structures, such as metaphor, allusion and symbol, can be co opted to function generative in dialogue with other kinds of texts and discourses.<br /

Teaching a digital performing agent: artificial neural network and hidden Markov Model for recognising and performing dance movement

For a Digital Performing Agent to be able to perform live with a human dancer, it would be useful for the agent to be able to contextualize the movement the dancer is performing and to have a suitable movement vocabulary with which to contribute to the performance. In this paper we will discuss our research into the use of Artificial Neural Networks (ANN) as a means of allowing a software agent to learn a shared vocabulary of movement from a dancer. The agent is able to use the learnt movements to form an internal representation of what the dancer is performing, allowing it to follow the dancer, generate movement sequences based on the dancer\u27s current movement and dance independently of the dancer using a shared movement vocabulary. By combining the ANN with a Hidden Markov Model (HMM) the agent is able to recognize short full body movement phrases and respond when the dancer performs these phrases. We consider the relationship between the dancer and agent as a means of supporting the agent\u27s learning and performance, rather than developing the agent\u27s capability in a self-contained fashion

Vox Lumen application

Partnership with AppeARition, Deakin Motion.Lab, and the Immigration Museum, Melbourn

Recognition: combining human interaction and a digital performing agent

Virtual and augmented environments are often dependent on human intervention for change to occur. However there are times when it would be advantageous for appropriate human-like activity to still occur when there are no humans present. In this paper, we describe the installation art piece Recognition, which uses the movement of human participants to effect change, and the movement of a performing agent when there are no humans present. The agent&#039;s Artificial Neural Network has learnt appropriate movements from a dancer and is able to generate suitable movement for the main avatar in the absence of human participants