Empowering a creative city: Engage citizens in creating street art through Human-AI collaboration Li, Z, Wang, Y, Wang, W, Greuter, Stefan and Mueller, FF 2020, Empowering a creative city: Engage citizens in creating street art through Human-AI collaboration, in Conference on Human Factors in Computing Systems - Proceedings, ASSOC COMPUTING MACHINERY,, doi: 10.1145/3334480.3382976. Attached Files Name Description MIMEType Size Downloads Title Empowering a creative city: Engage citizens in creating street art through Human-AI collaboration Author(s) Li, Z Wang, Y Wang, W Greuter, Stefan orcid.org/0000-0001-5487-0237 Mueller, FF Conference name ACM CHI Conference on Human Factors in Computing Systems (CHI) Conference location Honolulu, HI Conference dates 2020/04/25 - 2020/04/30 Title of proceedings Conference on Human Factors in Computing Systems - Proceedings Publication date 2020 Total pages 8 Publisher ASSOC COMPUTING MACHINERY Keyword(s) Science & Technology Technology Computer Science, Cybernetics Computer Science Creative city design civic engagement machine learning participatory art ISBN 9781450368193 Language eng DOI 10.1145/3334480.3382976 Indigenous content off HERDC Research category E2 Full written paper - non-refereed / Abstract reviewed Persistent URL http://hdl.handle.net/10536/DRO/DU:30143571 Document type: Conference Paper Collections: Faculty of Arts and Education School of Communication and Creative Arts Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system 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 Thu, 08 Oct 2020, 13:36:10 EST Fri, 09 Oct 2020, 04:02:04 EST Sat, 17 Apr 2021, 02:30:54 EST Wed, 07 Jul 2021, 06:02:28 EST Sun, 07 Nov 2021, 12:13:46 EST Sun, 07 Nov 2021, 13:08:25 EST Sun, 07 Nov 2021, 13:35:07 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 10 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 08 Oct 2020, 13:36:10 EST