[图书][B] Game data science

MS El-Nasr, THD Nguyen, A Canossa, A Drachen - 2021 - books.google.com
Game data science, defined as the practice of deriving insights from game data, has created
a revolution in the multibillion-dollar games industry-informing and enhancing production …

Towards understanding player behavior in blockchain games: A case study of aavegotchi

Y Jiang, T Min, S Fan, R Tao, W Cai - Proceedings of the 17th …, 2022 - dl.acm.org
Blockchain games introduce unique gameplay and incentive mechanisms by allowing
players to be rewarded with in-game assets or tokens through financial activities. However …

Data-driven game development: Ethical considerations

M Seif El-Nasr, E Kleinman - … of the 15th International Conference on the …, 2020 - dl.acm.org
In recent years, the games industry has made a major move towards data-driven
development, using data analytics and player modeling to inform design decisions. Data …

Understanding player patterns by combining knowledge-based data abstraction with interactive visualization

N Javvaji, C Harteveld, M Seif El-Nasr - Proceedings of the annual …, 2020 - dl.acm.org
Digital games are often created with large virtual worlds and a high number of degrees of
freedom for players. For analyzing patterns of play, it is imperative to consider all features …

Anomaly detection in player performances in multiplayer online battle arena games

X Qian, R Sifa, X Liu, S Ganguly… - Proceedings of the …, 2022 - dl.acm.org
Esports are digital video games that are played professionally. In recent years there has
been a growing need to improve the broadcast experience by incorporating real-time data …

Archetypal analysis based anomaly detection for improved storytelling in multiplayer online battle arena games

R Sifa, A Drachen, F Block, S Moon… - Proceedings of the …, 2021 - dl.acm.org
Anomalies in esports refer to situations when something unexpected or unlikely happens.
Rapid performance changes, unusual strategies, extraordinary plays, accelerated resource …

A LITERATURE REVIEW ON OPEN-WORLD GAMES TO METAVERSE TRANSITION FROM MORAL EDUCATION ANALYSING PERSPECTIVE

S Li, M Valcke, X Li - Edulearn22 Proceedings, 2022 - library.iated.org
In recent years, with the development of the technology, the raging of the virus and the
attention of related industries, metaverse, which has not really appeared, has impacted …

Enhancing multimodal goal recognition in open-world games with natural language player reflections

A Gupta, D Carpenter, W Min, J Rowe… - Proceedings of the aaai …, 2022 - ojs.aaai.org
Open-world games promote engagement by offering players a high degree of autonomy to
explore expansive game worlds. Player goal recognition has been widely explored for …

Player behavior profiling through provenance graphs and representation learning

SA Melo, TC Kohwalter, E Clua, A Paes… - Proceedings of the 15th …, 2020 - dl.acm.org
Arguably, player behavior profiling is one of the most relevant tasks of Game Analytics.
However, to fulfill the needs of this task, gameplay data should be handled so that the player …

Game provenance graph-based representation learning vs metrics-based machine learning: An empirical comparison on predictive game analytics tasks

S Melo, L Thurler, A Paes, E Clua - Entertainment Computing, 2025 - Elsevier
Predicting events and behavior in games is a crucial task of game analytics, both during
gameplay, such as predicting wins, and after, like forecasting player churn. Game metrics …