Research Article
Analysis of the Current Situation and Trends in Player Modelling Based on Data
@INPROCEEDINGS{10.4108/eai.22-5-2026.2365138, author={Guitan Zhang}, title={Analysis of the Current Situation and Trends in Player Modelling Based on Data}, proceedings={Proceedings of the 4th International Conference on Image, Algorithms, and Artificial Intelligence, ICIAAI 2026, 22-24 May 2026, Singapore, Singapore}, publisher={EAI}, proceedings_a={ICIAAI}, year={2026}, month={8}, keywords={Data analysis player modelling game-play-based}, doi={10.4108/eai.22-5-2026.2365138} }- Guitan Zhang
Year: 2026
Analysis of the Current Situation and Trends in Player Modelling Based on Data
ICIAAI
EAI
DOI: 10.4108/eai.22-5-2026.2365138
Abstract
Currently, player customization is gaining popularity, leading to increased attention on the field of player modeling. This paper takes a focus on data, analyzes research trends in player modelling, and explores the commercial and technological reasons behind it. This article uses pie charts to visualize the data and reveals the trends in types, including feature, label, source of data, and way of sampling in this field after 2020. This paper argues that current research in player modelling can be categorized into three types: research predicting objective labels that obtain data from the internet, research predicting objective labels that require obtaining data through experiments independently, and clustering experiments that can obtain data across fields since they do not require labels. This paper can provide a basic reference for scholars conducting subsequent research in related fields.
