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

doi:10.21606/drs.2022.808

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 proceeding › Conference 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 language	English
Title of host publication	Proceedings of the Design Research Society International Conference, 2022
Editors	Dan Lockton, Sara Lenzi, Paul Hekkert, Arlene Oak, Juan Sádaba
Place of Publication	London
Publisher	Design Research Society
Number of pages	17
ISBN (Electronic)	978-1-91229-457-2
DOIs	https://doi.org/10.21606/drs.2022.808
Publication status	Published - 25 Jun 2022
Event	Design Research Society 2022 - Bilbao, Spain Duration: 25 Jun 2022 → 3 Jul 2022 https://www.drs2022.org/

Publication series

Name	Proceedings of DRS 2022 International Conference
Publisher	Design Research Society
ISSN (Electronic)	2398-3132

Conference

Conference	Design Research Society 2022
Abbreviated title	DRS 2022
Country/Territory	Spain
City	Bilbao
Period	25/06/22 → 3/07/22
Internet address	https://www.drs2022.org/

Keywords / Materials (for Non-textual outputs)

AI art
artificial intelligence
heuristics
experiential AI

Access to Document

10.21606/drs.2022.808Licence: Creative Commons: Attribution Non-Commercial (CC-BY-NC)

Towards a Heuristic_HEMMET_DOA18032022_PREPRINT_CC-BY-NCSubmitted manuscript, 197 KBLicence: Creative Commons: Attribution Non-Commercial (CC-BY-NC)
Towards a Heuristic_HEMMET_DOA18032022_VOR_CC-BY-NCFinal published version, 515 KBLicence: Creative Commons: Attribution Non-Commercial (CC-BY-NC)

https://dl.designresearchsociety.org/drs-conference-papers/drs2022/researchpapers/311/Licence: Creative Commons: Attribution Non-Commercial (CC-BY-NC)

Cite this

Hemment, D., Zeilinger, M., Vidmar, M., Elwes, J., Warner, H., Sarmiento, D., & Hill, R. L. (2022). Towards a Heuristic Model for Experiential AI: Analysing The Zizi Show in The New Real. In D. Lockton, S. Lenzi, P. Hekkert, A. Oak, & J. Sádaba (Eds.), Proceedings of the Design Research Society International Conference, 2022 (Proceedings of DRS 2022 International Conference). Design Research Society. https://doi.org/10.21606/drs.2022.808

Hemment, Drew ; Zeilinger, Martin ; Vidmar, Matjaz et al. / Towards a Heuristic Model for Experiential AI: Analysing The Zizi Show in The New Real. Proceedings of the Design Research Society International Conference, 2022. editor / Dan Lockton ; Sara Lenzi ; Paul Hekkert ; Arlene Oak ; Juan Sádaba. London : Design Research Society, 2022. (Proceedings of DRS 2022 International Conference).

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title = "Towards a Heuristic Model for Experiential AI: Analysing The Zizi Show in The New Real",

abstract = "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{\textquoteright} cross-examination and evaluation and surface blindspots in the creative process.",

keywords = "AI art, artificial intelligence, heuristics, experiential AI",

author = "Drew Hemment and Martin Zeilinger and Matjaz Vidmar and Jake Elwes and Holly Warner and David Sarmiento and Hill, {Robin L}",

year = "2022",

month = jun,

day = "25",

doi = "10.21606/drs.2022.808",

language = "English",

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publisher = "Design Research Society",

editor = "Dan Lockton and Sara Lenzi and Paul Hekkert and Arlene Oak and Juan S{\'a}daba",

booktitle = "Proceedings of the Design Research Society International Conference, 2022",

note = "Design Research Society 2022, DRS 2022 ; Conference date: 25-06-2022 Through 03-07-2022",

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Hemment, D, Zeilinger, M, Vidmar, M, Elwes, J, Warner, H, Sarmiento, D & Hill, RL 2022, Towards a Heuristic Model for Experiential AI: Analysing The Zizi Show in The New Real. in D Lockton, S Lenzi, P Hekkert, A Oak & J Sádaba (eds), Proceedings of the Design Research Society International Conference, 2022. Proceedings of DRS 2022 International Conference, Design Research Society, London, Design Research Society 2022, Bilbao, Spain, 25/06/22. https://doi.org/10.21606/drs.2022.808

Towards a Heuristic Model for Experiential AI: Analysing The Zizi Show in The New Real. / Hemment, Drew; Zeilinger, Martin; Vidmar, Matjaz et al.
Proceedings of the Design Research Society International Conference, 2022. ed. / Dan Lockton; Sara Lenzi; Paul Hekkert; Arlene Oak; Juan Sádaba. London: Design Research Society, 2022. (Proceedings of DRS 2022 International Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Towards a Heuristic Model for Experiential AI: Analysing The Zizi Show in The New Real

AU - Hemment, Drew

AU - Zeilinger, Martin

AU - Vidmar, Matjaz

AU - Elwes, Jake

AU - Warner, Holly

AU - Sarmiento, David

AU - Hill, Robin L

PY - 2022/6/25

Y1 - 2022/6/25

N2 - 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.

AB - 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.

KW - AI art

KW - artificial intelligence

KW - heuristics

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BT - Proceedings of the Design Research Society International Conference, 2022

A2 - Lockton, Dan

A2 - Lenzi, Sara

A2 - Hekkert, Paul

A2 - Oak, Arlene

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PB - Design Research Society

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Y2 - 25 June 2022 through 3 July 2022

ER -

Hemment D, Zeilinger M, Vidmar M, Elwes J, Warner H, Sarmiento D et al. Towards a Heuristic Model for Experiential AI: Analysing The Zizi Show in The New Real. In Lockton D, Lenzi S, Hekkert P, Oak A, Sádaba J, editors, Proceedings of the Design Research Society International Conference, 2022. London: Design Research Society. 2022. (Proceedings of DRS 2022 International Conference). doi: 10.21606/drs.2022.808

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

Abstract / Description of output

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Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

Other files and links

Fingerprint

Design Research Society 2022

Cite this

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

Abstract / Description of output

Publication series

Conference

Keywords / Materials (for Non-textual outputs)

Access to Document

Other files and links

Fingerprint

Activities

Design Research Society 2022

Cite this