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Exploring Game Design through Human-AI Collaboration

Alvarez, Alberto, 1992- (författare)
Malmö universitet,Institutionen för datavetenskap och medieteknik (DVMT),Game Lab
Font, Jose (preses)
Malmö universitet,Institutionen för datavetenskap och medieteknik (DVMT)
Togelius, Julian (preses)
New York University
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Dahlskog, Steve (preses)
Malmö universitet,Institutionen för datavetenskap och medieteknik (DVMT)
Russo, Nancy L (preses)
Malmö universitet,Internet of Things and People (IOTAP),Institutionen för datavetenskap och medieteknik (DVMT)
Yannakakis, Georgios N., Professor (opponent)
Institute of Digital Games, University of Malta
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ISBN 9789178773077
Malmö : Malmö universitet, 2022
Engelska 381 s.
Serie: Studies in Computer Science ; 20
  • Doktorsavhandling (övrigt vetenskapligt)
Abstract Ämnesord
  • 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.


NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (datalogi) (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Human Computer Interaction (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Människa-datorinteraktion (interaktionsdesign) (hsv//swe)
NATURVETENSKAP  -- Data- och informationsvetenskap (Datateknik) (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)


Computer Games
Human-AI Collaboration
Procedural Content Generation
Quality Diversity
Computational Creativity

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