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Towards AI as a Creative Colleague in Game Level Design
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0003-3924-7484
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-7738-1601
2022 (English)In: Proceedings of the 18th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AAAI Press, 2022, Vol. 18, p. 137-145Conference paper, Published paper (Refereed)
Abstract [en]

In Mixed-Initiative Co-Creative tools, the human is mostly in control of what will and can be created, delegating the AI to a more suggestive role instead of a colleague in the co-creative process. Allowing more control and agency for the AI might be an interesting path in co-creative scenarios where AI could direct and take more initiative within the co-creative task. However, the relationship between AI and human designers in creative processes is delicate, as adjusting the initiative or agency of the AI can negatively affect the user experience. In this paper, different degrees of agency for the AI are explored within the Evolutionary Dungeon Designer (EDD) to further understand MI-CC tools. A user study was performed using EDD with three varying degrees of AI agency. The study highlighted elements of frustration that the human designer experiences when using the tool and the behavior in the AI that led to possible strains on the relationship. The paper concludes with the identified issues and possible solutions and suggested further research.

Place, publisher, year, edition, pages
AAAI Press, 2022. Vol. 18, p. 137-145
Series
Proceedings (AAAI Artificial Intelligence and Interactive Digital Entertainment Conference), ISSN 2326-909X, E-ISSN 2334-0924 ; 18:1
Keywords [en]
AI Agency, Mixed-Initiative Co-Creativity, Level Design, AI Roles
National Category
Human Computer Interaction Computer Sciences
Research subject
Interaktionsdesign
Identifiers
URN: urn:nbn:se:mau:diva-54334DOI: 10.1609/aiide.v18i1.21957Scopus ID: 2-s2.0-85172147842ISBN: 978-1-57735-877-0 (print)OAI: oai:DiVA.org:mau-54334DiVA, id: diva2:1685875
Conference
AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), October 24–28, 2022, Pomona.
Available from: 2022-08-05 Created: 2022-08-05 Last updated: 2023-12-12Bibliographically approved
In thesis
1. Exploring Game Design through Human-AI Collaboration
Open this publication in new window or tab >>Exploring Game Design through Human-AI Collaboration
2022 (English)Doctoral thesis, comprehensive summary (Other academic)
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.

Place, publisher, year, edition, pages
Malmö: Malmö universitet, 2022. p. 381
Series
Studies in Computer Science ; 20
Keywords
Computer Games, Human-AI Collaboration, Mixed-Initiative, Procedural Content Generation, Quality Diversity, Computational Creativity
National Category
Computer Sciences Human Computer Interaction
Research subject
Interaktionsdesign
Identifiers
urn:nbn:se:mau:diva-54586 (URN)10.24834/isbn.9789178773084 (DOI)978-91-7877-307-7 (ISBN)978-91-7877-308-4 (ISBN)
Public defence
2022-09-27, Niagara hörsal C, Nordenskiöldsgatan 1, 21119, Malmö, 14:30 (English)
Opponent
Supervisors
Available from: 2022-08-29 Created: 2022-08-27 Last updated: 2022-12-08Bibliographically approved

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Font, JoseAlvarez, Alberto

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