sh.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • harvard-anglia-ruskin-university
  • apa-old-doi-prefix.csl
  • sodertorns-hogskola-harvard.csl
  • sodertorns-hogskola-oxford.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Can AI Create an Interactive Digital Narrative?: A Benchmarking Framework to Evaluate Generative AI Tools for the Design of IDNs
Södertörn University, School of Natural Sciences, Technology and Environmental Studies, Media Technology.ORCID iD: 0000-0002-3390-831x
Stockholm University, Sweden.ORCID iD: 0000-0002-1444-5997
Saint Martin’s Institute of Higher Education, Malta.
2025 (English)In: Lecture Notes in Computer Science (LNCS): Proceedings, Part I, Springer Nature, 2025, Vol. 15467, p. 160-180Conference paper, Published paper (Refereed)
Abstract [en]

Where do generative AI (GenAI) tools like ChatGPT or Claude stand when it comes to the design of Interactive Digital Narratives (IDNs)? Can they be used to create an IDN from scratch? Or complete typical tasks in narrative design? To answer these questions we first develop a benchmarking framework in collaboration with a group of experts before applying it to create and evaluate the output of GenAI tools. We describe the development of the benchmarking framework, discuss results and consider limitations. The results show that while GenAI tools can be a great asset in IDN design, they are not yet able to replace a human narrative designer. The strength of the current generation of GenAI tools lays in delivering output that can be used for ideation and training, and in some occasions also for production in the hands of an experienced designer. Finally, we consider ethical aspects and future developments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Place, publisher, year, edition, pages
Springer Nature, 2025. Vol. 15467, p. 160-180
Keywords [en]
Benchmarking framework, Generative AI, interactive digital narrative authoring, interactive digital narrative design, Large Language Models, Current generation, Interactive digital narratives, Language model, Large language model, Narrative designs, Generative adversarial networks
National Category
Information Systems
Identifiers
URN: urn:nbn:se:sh:diva-56349DOI: 10.1007/978-3-031-78453-8_11Scopus ID: 2-s2.0-85214135818ISBN: 9783031784521 (print)OAI: oai:DiVA.org:sh-56349DiVA, id: diva2:1934949
Conference
Interactive Storytelling 17th International Conference on Interactive Digital Storytelling, ICIDS 2024, Barranquilla, Colombia, December 2–6, 2024
Note

Correspondence Address: H. Koenitz; Södertörn University, Huddinge, Alfred Nobels allé 7, 141 89, Sweden; email: hartmut.koenitz@sh.se

Available from: 2025-02-05 Created: 2025-02-05 Last updated: 2025-02-05Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Koenitz, Hartmut

Search in DiVA

By author/editor
Koenitz, HartmutEladhari, Mirjam Palosaari
By organisation
Media Technology
Information Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 45 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • harvard-anglia-ruskin-university
  • apa-old-doi-prefix.csl
  • sodertorns-hogskola-harvard.csl
  • sodertorns-hogskola-oxford.csl
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf