‘Once Upon a Time in Animation’ – Curatorial strategies for an exhibition on the National Centre for Computer Animation
Authors: Gingrich, O., Anderson, E. and Moore, C.
Conference: EVA London
Dates: 16-18 November 2020
Journal: Proceedings of EVA London 2020 (EVA 2020)
Publisher: BCS, The Chartered Institute for IT
eISSN: 1477-9358
DOI: 10.14236/ewic/EVA2020.52
Abstract:The National Centre for Computer Animation at Bournemouth University is developing a digital collection of historical assets arising from 30 years of pioneering work. These rare assets of late 20th and early 21st century animation include high quality digital and hardcopy storyboards, animatics and completely rendered scenes. This unique collection will be presented publicly at an exhibition at Poole Museum entitled ‘Once Upon A Time in Animation’. This paper will describe the creation of the archive and collection as well as the curatorial strategy of making it accessible to the public. What are the most relevant artefacts of 30 years of Animation at this world leading institution? What are the best strategies in making Animation accessible to future talents? How can we strengthen the role of the South West of England as one of the major hubs in Animation, VFX and the Creative Industries?
https://eprints.bournemouth.ac.uk/33908/
https://www.bcs.org/more/learned-publishing/electronic-workshops-in-computing-ewic/
Source: Manual
‘Once Upon a Time in Animation’ – Curatorial strategies for an exhibition on the National Centre for Computer Animation
Authors: Gingrich, O., Anderson, E. and Moore, C.
Conference: EVA London
Abstract:Zeitgeist consists of an innovative neuro-art piece, which offers to induce Flow states through immersive experiences: Zeitgeist, a new artwork by Dr. Shama Rahman and Dr. Oliver Gingrich is an AI-based digital art piece that explores audiovisual neurofeedback strategies to train ‘Flow’ to improve cognitive performance and engagement. This exploration will lead to the development of a prototype platform for cognitive enhancement. This art project looks at effective strategies to enhance mental states by inviting the audience to induce Flow through introspection, thereby designing their own internal to external spaces. The team will develop a real-time ‘Flow’ mental state digital platform utilising EEG deep-learning classification for a feedback loop involving embodied interactive collaborative participation by the audience
https://eprints.bournemouth.ac.uk/33908/
http://www.eva-london.org/eva-london-2020/
Source: BURO EPrints