67 citations · 147 across the 13 of their papers we have counts for
15 papers
Generative AI in Game Development: A Qualitative Research Synthesis
Alexandru Ternar, Alena Denisova, João M. Cunha +2
Generative Artificial Intelligence (GenAI) is currently reshaping game development practices, production pipelines, and value networks in an unprecedentedly pervasive manner with c…
Towards Mode Balancing of Generative Models via Diversity Weights
Sebastian Berns, Simon Colton, Christian Guckelsberger
Large data-driven image models are extensively used to support creative and artistic work. Under the currently predominant distribution-fitting paradigm, a dataset is treated as gr…
"An Adapt-or-Die Type of Situation": Perception, Adoption, and Use of Text-To-Image-Generation AI by Game Industry Professionals
Veera Vimpari, Annakaisa Kultima, Perttu Hämäläinen +1
Text-to-image generation (TTIG) models, a recent addition to creative AI, can generate images based on a text description. These models have begun to rival the work of professional…
Personalized Game Difficulty Prediction Using Factorization Machines
Jeppe Theiss Kristensen, Christian Guckelsberger, Paolo Burelli +1
The accurate and personalized estimation of task difficulty provides many opportunities for optimizing user experience. However, user diversity makes such difficulty estimation har…
Cine-AI: Generating Video Game Cutscenes in the Style of Human Directors
Inan Evin, Perttu Hämäläinen, Christian Guckelsberger
Cutscenes form an integral part of many video games, but their creation is costly, time-consuming, and requires skills that many game developers lack. While AI has been leveraged t…
How Does Embodiment Affect the Human Perception of Computational Creativity? An Experimental Study Framework
Simo Linkola, Christian Guckelsberger, Tomi Männistö +1
Which factors influence the human assessment of creativity exhibited by a computational system is a core question of computational creativity (CC) research. Recently, the system's…
Impressions of the GDMC AI Settlement Generation Challenge in Minecraft
Christoph Salge, Claus Aranha, Adrian Brightmoore +15
The GDMC AI settlement generation challenge is a PCG competition about producing an algorithm that can create an "interesting" Minecraft settlement for a given map. This paper cont…
Predicting Game Engagement and Difficulty Using AI Players
Shaghayegh Roohi, Christian Guckelsberger, Asko Relas +3
This paper presents a novel approach to automated playtesting for the prediction of human player behavior and experience. It has previously been demonstrated that Deep Reinforcemen…
Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities
Sebastian Berns, Terence Broad, Christian Guckelsberger +1
We present a framework for automating generative deep learning with a specific focus on artistic applications. The framework provides opportunities to hand over creative responsibi…
Embodiment and Computational Creativity
Christian Guckelsberger, Anna Kantosalo, Santiago Negrete-Yankelevich +1
We conjecture that creativity and the perception of creativity are, at least to some extent, shaped by embodiment. This makes embodiment highly relevant for Computational Creativit…
Generative Design in Minecraft: Chronicle Challenge
Christoph Salge, Christian Guckelsberger, Michael Cerny Green +2
We introduce the Chronicle Challenge as an optional addition to the Settlement Generation Challenge in Minecraft. One of the foci of the overall competition is adaptive procedural…
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
Martin Biehl, Christian Guckelsberger, Christoph Salge +2
Active inference is an ambitious theory that treats perception, inference and action selection of autonomous agents under the heading of a single principle. It suggests biologicall…
New And Surprising Ways to Be Mean. Adversarial NPCs with Coupled Empowerment Minimisation
Christian Guckelsberger, Christoph Salge, Julian Togelius
Creating Non-Player Characters (NPCs) that can react robustly to unforeseen player behaviour or novel game content is difficult and time-consuming. This hinders the design of belie…
Accelerating Empowerment Computation with UCT Tree Search
Christoph Salge, Christian Guckelsberger, Rodrigo Canaan +1
Models of intrinsic motivation present an important means to produce sensible behaviour in the absence of extrinsic rewards. Applications in video games are varied, and range from…
Modelling serendipity in a computational context
Joseph Corneli, Anna Jordanous, Christian Guckelsberger +2
The term serendipity describes a creative process that develops, in context, with the active participation of a creative agent, but not entirely within that agent's control. While…