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 Pérez, Robin Hill

*Corresponding author for this work

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

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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 DRS2022 Bilbao
Subtitle of host publicationDesign Research Society International Conference
EditorsDan Lockton, Sara Lenzi, Paul Hekkert, Arlene Oak, Juan Sadaba, Peter Lloyd
Place of PublicationLondon
PublisherDesign Research Society
Number of pages17
ISBN (Electronic)9781912294572
Publication statusPublished - 25 Jun 2022
EventDRS 2022 - Hybrid conference, Bilbao, Spain
Duration: 25 Jun 20221 Jul 2022

Publication series

NameDRS Biennial Conference Series
PublisherDesign Research Society
ISSN (Electronic)2398-3132


ConferenceDRS 2022
OtherDesign Research Society International Conference
Internet address


  • AI art
  • Artificial intelligence
  • Heuristics
  • Experiential AI


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