Matt Gough Blog [closed]: words & proof
Tuesday, Nov 16 2004, 01:30
in sci-art projects there is often talk of developing a shared language in which work can be discussed. such a concept has been central to my work at UEA due to the nature of my studies (computer science). however rather than developing a shared language i believe that a shared ideology and conceptual framework is more important. language is bound up in the epistemology of a specific domain, thus sharing language requires a high standard of multi domain knowledge. such knowledge is not often available.
furthermore there is rarely and equal sharing, usually one domain is required to conform to the other for the purposes of implementation or where a lack of rigorous practice is perceived. here i am learning how to present dance through the language of the computer science. as dancers we draw on a range of concrete knowledge that we have little descriptive access to, our practice abstracts the very tools we sometimes need to describe our work.
Physics, alignment, orientation, interpolation, angular and linear velocity, angular and linear acceleration, center of mass, duration, distance, force etc etc are all essential to developing artistic practice. yet, in such practice an implicit understanding is of greater importance that descriptive, or calculated proofs.
so this is how i often have to talk now, about the many faceted theoretical aspects of physical movement. this and developing ways to express aspects of creativity through similar means. yet there is a big gap, from the other direction in understanding the application of such theories. dance epistemology (theory and practice) are rarely examined in the detail that is deserved by those seeking to simulate dance. more over there is a general lack of understanding of the performing, teaching and creative processes.
i this context i am being challenged to prove my practiced based movement simulation metaphor through implementation in a digital environment. my question is this; do existing concepts of movement simulation hold up when applied to physical practice.
i think you already know what the answer is...
Filed by Article19 at 1:30 PM | 
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