Personalized game difficulty prediction using factorization machines

JT Kristensen, C Guckelsberger, P Burelli… - Proceedings of the 35th …, 2022 - dl.acm.org
The accurate and personalized estimation of task difficulty provides many opportunities for
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 …

Solution Path Heuristics for Predicting Difficulty and Enjoyment Ratings of Roguelike Level Segments

C Biemer, S Cooper - Proceedings of the 19th International Conference …, 2024 - dl.acm.org
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 …

Adaptive Game Design Using Machine Learning Techniques: A Survey

MM Hossan, MM Fouda… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Adaptive game design is a dynamic gamification approach that changes game elements
such as challenges, feedback mechanisms, and rewards based on players' preferences …

Toward designer modeling through design style clustering

A Alvarez, J Font, J Togelius - IEEE Transactions on Games, 2022 - ieeexplore.ieee.org
We propose modeling designer style in mixed-initiative game content creation tools as
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

X Li, M Wira, R Thawonmas - International Conference on Entertainment …, 2022 - Springer
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 …

[HTML][HTML] Enhancing Player Experience in a First-Person Shooter with Dynamic Audio Cue Adjustment Based on Gaussian Progress Regression

X Li, Y **a, MC Gursesli, X You, S Chen… - Applied Sciences, 2024 - mdpi.com
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 …

Real time in-game playstyle classification using a hybrid probabilistic supervised learning approach

LJ Arendse, B Ingram, B Rosman - Southern African Conference for …, 2022 - Springer
In interactive digital media, such as video games, bringing about an adaptive or
personalised experience requires a mechanism for correctly classifying or identifying the …

Fast dynamic difficulty adjustment for intelligent tutoring systems with small datasets

A Schütt, T Huber, I Aslan, E André - 2023 - opus.bibliothek.uni-augsburg.de
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 …

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 …