Storytelling Machines
Abstract
We are entering a period of unprecedented collaboration between authors and computers, where artificial intelligence in particular seems likely to act increasingly in a co-authoring capacity. Automated or procedural storytelling represents one exciting avenue of research. By entering prompts and parameters into an AI text generator like ChatGPT, authors could leverage an enormous textual corpus to generate a “new” work that appears to have been authored by a human.
This paper proposes an alternative platform, one more reflective of the collaborative and organic creative process. Approached as a tool for augmentation, Mother showcases the potential for spatial hypertext to work alongside the author.
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| Titel | Storytelling Machines |
|---|---|
| Medien | Proceedings of the 6th Workshop on Human Factors in Hypertext (HUMAN'23) |
| Verlag | ACM |
| Heft | --- |
| Band | 2023 |
| ISBN | --- |
| Verfasser/Herausgeber | Prof. Dr. Claus Atzenbeck, Prof. Dr. Sam Brooker, Daniel Roßner |
| Seiten | 1-9 |
| Veröffentlichungsdatum | 21.09.2023 |
| Projekttitel | --- |
| Zitation | Atzenbeck, Claus; Brooker, Sam; Roßner, Daniel (2023): Storytelling Machines. Proceedings of the 6th Workshop on Human Factors in Hypertext (HUMAN'23) 2023, 4, S. 1-9. DOI: 10.1145/3603607.3613481 |