17 citations · 35 across the 6 of their papers we have counts for
8 papers
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…
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…