Learning to replace a human: a virtual performing agent McCormick, John, Hutchison, Steph, Nash, Adam, Vincs, Kim, Nahavandi, Saeid and Creighton, Douglas 2015, Learning to replace a human: a virtual performing agent, International journal of virtual reality, vol. 15, no. 1, pp. 18-22. Attached Files Name Description MIMEType Size Downloads Title Learning to replace a human: a virtual performing agent Author(s) McCormick, John orcid.org/0000-0002-5347-0378 Hutchison, Steph Nash, Adam Vincs, Kim Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Creighton, Douglas orcid.org/0000-0002-9217-1231 Journal name International journal of virtual reality Volume number 15 Issue number 1 Start page 18 End page 22 Total pages 5 Publisher IPI Press Place of publication Plouzane, France Publication date 2015-01-01 ISSN 1081-1451 Keyword(s) performing software agent machine learning electronic art interactive installation Summary In this paper we describe two artworks, Recognition, an outdoor interactive installation and Instrumental a live dance performance. In both works a performing agent has learnt sequences of movement from a dancer and uses these to stand in for a human performer. The agent uses an Artificial Neural Network to learn to dance from the human dancer and can perform in the humans stead. In Recognition the agent’s movement is used when there are no humans present in order to keep continuity of theinstallation. In Instrumental the agent becomes a performing partner of a live human dancer, able to recognize the dancers movement and synthesize movement sequences based on the human dancer’s movements. Language eng Field of Research 090602 Control Systems, Robotics and Automation 190404 Drama, Theatre and Performance Studies 0801 Artificial Intelligence And Image Processing Socio Economic Objective 0 Not Applicable HERDC Research category C1.1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2015, IPI Press Persistent URL http://hdl.handle.net/10536/DRO/DU:30089957 Document type: Journal Article Collections: Faculty of Arts and Education School of Communication and Creative Arts Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Mon, 05 Dec 2016, 13:23:23 EST Tue, 06 Dec 2016, 04:01:32 EST Tue, 06 Dec 2016, 10:20:34 EST Thu, 18 May 2017, 06:04:17 EST Fri, 16 Jun 2017, 14:49:26 EST Fri, 16 Jun 2017, 14:59:14 EST Fri, 16 Jun 2017, 15:25:36 EST Fri, 16 Jun 2017, 15:27:55 EST Tue, 14 Nov 2017, 15:41:48 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 373 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Mon, 05 Dec 2016, 13:23:23 EST

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