Personalized game difficulty prediction using factorization machines
The accurate and personalized estimation of task difficulty provides many opportunities for
optimizing user experience. However, user diversity makes such difficulty estimation hard, in …
optimizing user experience. However, user diversity makes such difficulty estimation hard, in …
Difficulty modelling in mobile puzzle games: An empirical study on different methods to combine player analytics and simulated data
JT Kristensen, P Burelli - International Journal of Computer …, 2024 - Wiley Online Library
Difficulty is one of the key drivers of player engagement, and it is often one of the aspects
that designers tweak most to optimise the player experience; operationalising it is, therefore …
that designers tweak most to optimise the player experience; operationalising it is, therefore …
Solution Path Heuristics for Predicting Difficulty and Enjoyment Ratings of Roguelike Level Segments
When generating levels, algorithmically evaluating the results is essential. In this paper, we
looked at predicting a level's difficulty and enjoyment. Past work has approached this …
looked at predicting a level's difficulty and enjoyment. Past work has approached this …
Adaptive Game Design Using Machine Learning Techniques: A Survey
Adaptive game design is a dynamic gamification approach that changes game elements
such as challenges, feedback mechanisms, and rewards based on players' preferences …
such as challenges, feedback mechanisms, and rewards based on players' preferences …
Toward designer modeling through design style clustering
We propose modeling designer style in mixed-initiative game content creation tools as
archetypical design traces. These design traces are formulated as transitions between …
archetypical design traces. These design traces are formulated as transitions between …
Toward dynamic difficulty adjustment with audio cues by gaussian process regression in a first-person shooter
This study presents an in-game audio-cue setting approach using Gaussian Process
Regression (GPR) to provide dynamic difficulty adjustment (DDA) in a first-person shooter …
Regression (GPR) to provide dynamic difficulty adjustment (DDA) in a first-person shooter …
[HTML][HTML] Enhancing Player Experience in a First-Person Shooter with Dynamic Audio Cue Adjustment Based on Gaussian Progress Regression
This paper analyzes the experience of first-person shooter (FPS) players when game
difficulty is adjusted by personalizing their audio cue settings, considering the balance …
difficulty is adjusted by personalizing their audio cue settings, considering the balance …
Real time in-game playstyle classification using a hybrid probabilistic supervised learning approach
In interactive digital media, such as video games, bringing about an adaptive or
personalised experience requires a mechanism for correctly classifying or identifying the …
personalised experience requires a mechanism for correctly classifying or identifying the …
Fast dynamic difficulty adjustment for intelligent tutoring systems with small datasets
This paper studies the problem of automatically adjusting the difficulty level of educational
exercises to facilitate learning. Previous work on this topic either relies on large datasets or …
exercises to facilitate learning. Previous work on this topic either relies on large datasets or …
Dynamic difficulty adjustment via procedural level generation guided by a Markov decision process for platformers and roguelikes
CF Biemer - Proceedings of the AAAI Conference on Artificial …, 2023 - ojs.aaai.org
Procedural level generation can create unseen levels and improve the replayability of
games, but there are requirements for a generated level. First, a level must be completable …
games, but there are requirements for a generated level. First, a level must be completable …