Towards a Heuristic Model for Experiential AI: Analysing The Zizi Show in The New Real

Drew Hemment, Martin Zeilinger, Matjaz Vidmar, Jake Elwes, Holly Warner, David Sarmiento, Robin L Hill

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Based on the rapid pace of evolving creative practice in AI arts, we identify and respond to an urgent need to develop frameworks for analysing the critical dimensions (including social/political) of this emerging field. This paper offers a comprehensive case study of The Zizi Show, by Jake Elwes, developed as part of The New Real and Experiential AI programme at the Edinburgh Futures Institute within the University of Edinburgh. Based on this case study analysis, we propose the structuring of distinct project characteristics into four categories (socio-cultural and institutional aspects; technology and media; experience and affect; and audience and impact) which form the basis for a heuristic model. The statements/descriptors collected in each category serve to capture creative and design strategies that can lead design processes from cultural and technological perspectives, enable projects’ cross-examination and evaluation and surface blindspots in the creative process.
Original languageEnglish
Title of host publicationProceedings of the Design Research Society International Conference, 2022
EditorsDan Lockton, Sara Lenzi, Paul Hekkert, Arlene Oak, Juan Sádaba
Place of PublicationLondon
PublisherDesign Research Society
Number of pages17
ISBN (Electronic)978-1-91229-457-2
Publication statusPublished - 25 Jun 2022
EventDesign Research Society 2022 - Bilbao, Spain
Duration: 25 Jun 20223 Jul 2022

Publication series

NameProceedings of DRS 2022 International Conference
PublisherDesign Research Society
ISSN (Electronic)2398-3132


ConferenceDesign Research Society 2022
Abbreviated titleDRS 2022
Internet address

Keywords / Materials (for Non-textual outputs)

  • AI art
  • artificial intelligence
  • heuristics
  • experiential AI


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