Perry, Phoenix and Fiebrink, Rebecca (2021) InteractML.
Type of Research: | Other | ||||||||||
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Creators: | Perry, Phoenix and Fiebrink, Rebecca | ||||||||||
Description: | InteractML: An open source, free machine learning plugin for Unity & Unreal InteractML is a project I am leading in collaboration with Professor Rebecca Fiebrink. Funded by Google's Focused Research Award ($20,000), InteractML aims to develop new interactive machine-learning tools for commercial game developers facilitating the creation of richer gameplay interactions involving gestures, sensors, audio and video data. It allows game developers to build more inclusive interfaces for the general audience and disabled gamers. Also, we made interactive machine learning usable for artists and designers who could not code. We partnered as co-investigators, including Marco Gillies (PI), Bruno Martelli, and Ruth Gibson to incorporate InteractML into a research project, 4i: Immersive Interaction Design for Indie Developers with Interactive Machine Learning. (£497,829) From January 2020 to September 2021, this project supported independent developers and artists designing movement interactions for Virtual Reality. We hired PhD student Clarice Hilton and postdoctoral researcher Nicola Plant. Nicola Plant now works as an AL at UAL. This work was exhibited to the public in a daylong conference at Goldsmiths. |
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Your affiliations with UAL: | Research Centres/Networks > Institute for Creative Computing | ||||||||||
Date: | 21 September 2021 | ||||||||||
Funders: | Google, Epic Games, EPSRC | ||||||||||
Related Websites: | https://www.unrealengine.com/marketplace/en-US/product/interactml-interactive-machine-learning-system, https://github.com/interactml, https://interactml.com/, https://researchers.arts.ac.uk/1424-phoenix-perry/publications | ||||||||||
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Locations / Venues: | Location From Date To Date https://www.unrealengine.com/marketplace/en-US/product/interactml-interactive-machine-learning-system |
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Material/Media: | Software | ||||||||||
Date Deposited: | 27 Oct 2022 14:00 | ||||||||||
Last Modified: | 27 Oct 2022 14:00 | ||||||||||
Item ID: | 19169 | ||||||||||
URI: | https://ualresearchonline.arts.ac.uk/id/eprint/19169 |
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