Title
A Synset-Based Recommender Method for Mixed-Initiative Narrative World Creation
Author
Bueno Perez, M.R. (TU Delft Computer Graphics and Visualisation)
Eisemann, E. (TU Delft Computer Graphics and Visualisation) 
Bidarra, Rafael (TU Delft Computer Graphics and Visualisation)
Contributor
Mitchell, Alex (editor)
Vosmeer, Mirjam (editor)
Date
2021
Abstract
A narrative world (NW) is an environment which supports enacting a given story. Manually creating virtual NWs (e.g. for games and films) requires considerable creative and technical skills, in addition to a deep understanding of the story in question. Procedural generation methods, in turn, generally lack in creativity and have a hard time coping with the numerous degrees of freedom left open by a story. In contrast, mixed-initiative approaches offer a promising path to solve this tension. We propose a mixed-initiative approach assisting an NW designer in choosing plausible entities for the locations, where the story takes place. Our approach is based on a recommender method that uses common and novel associations to narrative locations, actions and entities. Our method builds upon a large dataset of co-occurrences of disambiguated terms that we retrieved from photo captions. Building on this knowledge, our solution deploys entity (un)relatedness, offers clusters of semantically and contextually related entities, and highlights novelty of recommended content, thus effectively supporting the designer’s creative task, while helping to stay consistent with the story. We demonstrate our method via an interactive prototype called roleTaleForge. Designers can obtain meaningful entity suggestions for their NWs, which enables guided exploration, while preserving creative freedom. We present an example of the interactive workflow of our method, and illustrate its usefulness.
Subject
Authoring tool
Mixed initiative
Narrative world
Recommender method
Synset vectors
To reference this document use:
http://resolver.tudelft.nl/uuid:12ca1c9a-2321-474f-a041-fa7b962c69ee
DOI
https://doi.org/10.1007/978-3-030-92300-6_2
Publisher
Springer
Embargo date
2022-06-06
ISBN
978-3-030-92299-3
Source
Interactive Storytelling - 14th International Conference on Interactive Digital Storytelling, ICIDS 2021, Proceedings
Event
14th International Conference on Interactive Digital Storytelling, ICIDS 2021, 2021-12-07 → 2021-12-10, Tallinn, Estonia
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 0302-9743, 13138 LNCS
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Part of collection
Institutional Repository
Document type
conference paper
Rights
© 2021 M.R. Bueno Perez, E. Eisemann, Rafael Bidarra