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Story Designer: Towards a Mixed-Initiative Tool to Create Narrative Structures
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0002-7738-1601
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT).ORCID-id: 0000-0003-3924-7484
Game Innovation Lab, New York University, United States.
2022 (Engelska)Ingår i: FDG '22: Proceedings of the 17th International Conference on the Foundations of Digital Games, ACM Digital Library, 2022, artikel-id 42Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Narratives are a predominant part of games, and their design poses challenges when identifying, encoding, interpreting, evaluating, and generating them. One way to address this would be to approach narrative design in a more abstract layer, such as narrative structures. This paper presents Story Designer, a mixed-initiative co-creative narrative structure tool built on top of the Evolutionary Dungeon Designer (EDD) that uses tropes, narrative conventions found across many media types, to design these structures. Story Designer uses tropes as building blocks for narrative designers to compose complete narrative structures by interconnecting them in graph structures called narrative graphs. Our mixed-initiative approach lets designers manually create their narrative graphs and feeds an underlying evolutionary algorithm with those, creating quality-diverse suggestions using MAP-Elites. Suggestions are visually represented for designers to compare and evaluate and can then be incorporated into the design for further manual editions. At the same time, we use the levels designed within EDD as constraints for the narrative structure, intertwining both level design and narrative. We evaluate the impact of these constraints and the system’s adaptability and expressiveness, resulting in a potential tool to create narrative structures combining level design aspects with narrative.  

 

 

Ort, förlag, år, upplaga, sidor
ACM Digital Library, 2022. artikel-id 42
Nationell ämneskategori
Datavetenskap (datalogi)
Identifikatorer
URN: urn:nbn:se:mau:diva-56278DOI: 10.1145/3555858.3555929ISBN: 978-1-4503-9795-7 (digital)OAI: oai:DiVA.org:mau-56278DiVA, id: diva2:1714321
Konferens
FDG22: 17th International Conference on the Foundations of Digital Games, Athens, Greece, September 5 - 8, 2022
Tillgänglig från: 2022-11-29 Skapad: 2022-11-29 Senast uppdaterad: 2022-12-08Bibliografiskt granskad
Ingår i avhandling
1. Exploring Game Design through Human-AI Collaboration
Öppna denna publikation i ny flik eller fönster >>Exploring Game Design through Human-AI Collaboration
2022 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
Abstract [en]

Game design is a hard and multi-faceted task that intertwines different gameplay mechanics, audio, level, graphic, and narrative facets. Games' facets are developed in conjunction with others with a common goal that makes games coherent and interesting. These combinations result in plenty of games in diverse genres, which usually require a collaboration of a diverse group of designers. Collaborators can take different roles and support each other with their strengths resulting in games with unique characteristics. The multi-faceted nature of games and their collaborative properties and requirements make it an exciting task to use Artificial Intelligence (AI). The generation of these facets together requires a holistic approach, which is one of the most challenging tasks within computational creativity. Given the collaborative aspect of games, this thesis approaches their generation through Human-AI collaboration, specifically using a mixed-initiative co-creative (MI-CC) paradigm. This paradigm creates an interactive and collaborative scenario that leverages AI and human strengths with an alternating and proactive initiative to approach a task. However, this paradigm introduces several challenges, such as Human and AI goal alignment or competing properties.

In this thesis, game design and the generation of game facets by themselves and intertwined are explored through Human-AI collaboration. The AI takes a colleague's role with the designer, arising multiple dynamics, challenges, and opportunities. The main hypothesis is that AI can be incorporated into systems as a collaborator, enhancing design tools, fostering human creativity, and reducing workload. The challenges and opportunities that arise from this are explored, discussed, and approached throughout the thesis. As a result, multiple approaches and methods such as quality-diversity algorithms and designer modeling are proposed to generate game facets in tandem with humans, create a better workflow, enhance the interaction, and establish adaptive experiences.

Ort, förlag, år, upplaga, sidor
Malmö: Malmö universitet, 2022. s. 381
Serie
Studies in Computer Science ; 20
Nyckelord
Computer Games, Human-AI Collaboration, Mixed-Initiative, Procedural Content Generation, Quality Diversity, Computational Creativity
Nationell ämneskategori
Datavetenskap (datalogi) Människa-datorinteraktion (interaktionsdesign)
Forskningsämne
Interaktionsdesign
Identifikatorer
urn:nbn:se:mau:diva-54586 (URN)10.24834/isbn.9789178773084 (DOI)978-91-7877-307-7 (ISBN)978-91-7877-308-4 (ISBN)
Disputation
2022-09-27, Niagara hörsal C, Nordenskiöldsgatan 1, 21119, Malmö, 14:30 (Engelska)
Opponent
Handledare
Tillgänglig från: 2022-08-29 Skapad: 2022-08-27 Senast uppdaterad: 2022-12-08Bibliografiskt granskad

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Alvarez, AlbertoFont, Jose

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