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Predicting Skill Learning in a Large, Longitudinal MOBA Dataset

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4471-4769-5openalex-snapshot
Game Analytics
inferredcites →https://doi.org/10.1016/j.aasri.2014.08.014openalex-snapshot
Mining Tracks of Competitive Video Games
inferredcites →https://doi.org/10.1016/j.actpsy.2005.02.004openalex-snapshot
The effects of action video game experience on the time course of inhibition of return and the efficiency of visual search
inferredcites →https://doi.org/10.1016/j.chb.2016.10.005openalex-snapshot
Number processing ability is connected to longitudinal changes in multiplayer online battle arena skill
inferredcites →https://doi.org/10.1016/j.eswa.2017.04.056openalex-snapshot
Early churn prediction with personalized targeting in mobile social games
inferredcites →https://doi.org/10.1016/j.intell.2015.08.004openalex-snapshot
Can we reliably measure the general factor of intelligence (g) through commercial video games? Yes, we can!
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1093/oso/9780198794844.003.0019openalex-snapshot
Game Analytics for Games User Research
inferredcites →https://doi.org/10.1109/cig.2011.6032007openalex-snapshot
Games as personality profiling tools
inferredcites →https://doi.org/10.1109/cig.2012.6374152openalex-snapshot
Guns, swords and data: Clustering of player behavior in computer games in the wild
inferredcites →https://doi.org/10.1109/cig.2013.6633612openalex-snapshot
Give me a reason to dig Minecraft and psychology of motivation
inferredcites →https://doi.org/10.1109/cig.2014.6932875openalex-snapshot
Churn prediction for high-value players in casual social games
inferredcites →https://doi.org/10.1109/cig.2014.6932876openalex-snapshot
Predicting player churn in the wild
inferredcites →https://doi.org/10.1109/cig.2015.7317919openalex-snapshot
Predicting player disengagement and first purchase with event-frequency based data representation
inferredcites →https://doi.org/10.1109/cig.2016.7860423openalex-snapshot
Guns and guardians: Comparative cluster analysis and behavioral profiling in destiny
inferredcites →https://doi.org/10.1109/cse.2009.80openalex-snapshot
Churn Prediction in MMORPGs: A Social Influence Based Approach
inferredcites →https://doi.org/10.1111/tops.12254openalex-snapshot
Using Video Game Telemetry Data to Research Motor Chunking, Action Latencies, and Complex Cognitive‐Motor Skill Learning
inferredcites →https://doi.org/10.1145/2212908.2212954openalex-snapshot
Game AI revisited
inferredcites →https://doi.org/10.1145/2998181.2998185openalex-snapshot
What Makes a Strong Team?
inferredcites →https://doi.org/10.1162/pres.15.3.309openalex-snapshot
The Demographics, Motivations, and Derived Experiences of Users of Massively Multi-User Online Graphical Environments
inferredcites →https://doi.org/10.1177/0956797613511466openalex-snapshot
Tracing the Trajectory of Skill Learning With a Very Large Sample of Online Game Players
inferredcites →https://doi.org/10.1371/journal.pone.0075129openalex-snapshot
Video Game Telemetry as a Critical Tool in the Study of Complex Skill Learning
inferredcites →https://doi.org/10.1371/journal.pone.0180735openalex-snapshot
Churn prediction of mobile and online casual games using play log data
inferredcites →https://doi.org/10.1371/journal.pone.0186621openalex-snapshot
Exploring the relationship between video game expertise and fluid intelligence
inferredcites →https://doi.org/10.1609/aiide.v11i1.12788openalex-snapshot
Predicting Purchase Decisions in Mobile Free-to-Play Games
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.5555/1953048.2078195openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0076openalex-snapshot
TrueSkill™: A Bayesian Skill Rating System

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4666280openalex-extracted
Modeling and Analyzing Social Networks of Games
inferred← citeshttps://doi.org/10.1007/978-981-99-1624-5_45openalex-snapshot
Learning Movement Patterns for Improving the Skills of Beginner Level Players in Competitive MOBAs
inferred← citeshttps://doi.org/10.1007/s12193-021-00364-0openalex-snapshot
MUMBAI: multi-person, multimodal board game affect and interaction analysis dataset
inferred← citeshttps://doi.org/10.1007/s40869-020-00121-5openalex-snapshot
Gameplay Analysis of Multiplayer Games with Verified Action-Costs
inferred← citeshttps://doi.org/10.1007/s44163-024-00139-yopenalex-snapshot
Identifying player skill of dota 2 using machine learning pipeline
inferred← citeshttps://doi.org/10.1016/j.comppsych.2024.152500openalex-snapshot
Going beyond video game consumption when considering Internet Gaming Disorder
inferred← citeshttps://doi.org/10.1016/j.entcom.2024.100678openalex-snapshot
How environmental perception affects players’ in-game behaviors? Towards developing games in compliance with sustainable development goals
inferred← citeshttps://doi.org/10.1038/s41562-023-01798-0openalex-snapshot
Large-scale citizen science reveals predictors of sensorimotor adaptation
inferred← citeshttps://doi.org/10.1038/s41597-023-02510-7openalex-snapshot
SC2EGSet: StarCraft II Esport Replay and Game-state Dataset
inferred← citeshttps://doi.org/10.1093/pnasnexus/pgad249openalex-snapshot
Kinematic markers of skill in first-person shooter video games
inferred← citeshttps://doi.org/10.1101/2023.01.18.524634openalex-snapshot
Predictors of sensorimotor adaption: insights from over 100,000 reaches
inferred← citeshttps://doi.org/10.1109/cig.2019.8848004openalex-snapshot
Towards Multi-modal Stress Response Modelling in Competitive League of Legends
inferred← citeshttps://doi.org/10.1109/cog57401.2023.10333133openalex-snapshot
Predicting Chess Player Rating Based on a Single Game
inferred← citeshttps://doi.org/10.1109/iccc51575.2020.9345074openalex-snapshot
Lineup Mining and Balance Analysis of Auto Battler
inferred← citeshttps://doi.org/10.1109/icsec62781.2024.10770753openalex-snapshot
Machine Learning Model for Skill Level Prediction in Multiplayer Online Battle Arena
inferred← citeshttps://doi.org/10.1109/ictc55196.2022.9952770openalex-snapshot
Detecting In-Game Play Event in Live Esports Stream
inferred← citeshttps://doi.org/10.1109/mprv.2019.2926247openalex-snapshot
Esports Athletes and Players: A Comparative Study
inferred← citeshttps://doi.org/10.1109/smartworld-uic-atc-scalcom-iop-sci.2019.00314openalex-snapshot
eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair
inferred← citeshttps://doi.org/10.1109/smartworld-uic-atc-scalcom-iop-sci.2019.00319openalex-snapshot
Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis
inferred← citeshttps://doi.org/10.1109/tg.2023.3282157openalex-snapshot
Artificial Intelligence in MOBA Games: A Multivocal Literature Mapping
inferred← citeshttps://doi.org/10.1111/nyas.14548openalex-snapshot
Lenticular nucleus volume predicts performance in real‐time strategy game: cross‐sectional and training approach using voxel‐based morphometry
inferred← citeshttps://doi.org/10.11144/javeriana.10554.58888openalex-snapshot
Arquitectura de un Agente Racional para recomendar que objetos comprar en un videojuego tipo MOBA
inferred← citeshttps://doi.org/10.1145/3290688.3290750openalex-snapshot
A Team Based Player Versus Player Recommender Systems Framework For Player Improvement
inferred← citeshttps://doi.org/10.1145/3337722.3337756openalex-snapshot
Like PEAS in PoDS
inferred← citeshttps://doi.org/10.1145/3434581.3434611openalex-snapshot
Lineup Mining and Balance Analysis of Auto Battler
inferred← citeshttps://doi.org/10.1145/3708359.3712088openalex-snapshot
StratIncon Detector: Analyzing Strategy Inconsistencies Between Real-Time Strategy and Preferred Professional Strategy in MOBA Esports
inferred← citeshttps://doi.org/10.11606/d.55.2020.tde-27072020-134224openalex-snapshot
Modeling and Analyzing Social Networks of Games
inferred← citeshttps://doi.org/10.1177/09637214211057841openalex-snapshot
Maximizing the Potential of Digital Games for Understanding Skill Acquisition
inferred← citeshttps://doi.org/10.1371/journal.pone.0275843openalex-snapshot
Mind the gap: Distributed practice enhances performance in a MOBA game
inferred← citeshttps://doi.org/10.15309/23psd240113openalex-snapshot
LEARNING HATE SPEECH IN ESPORTS
inferred← citeshttps://doi.org/10.2196/40190openalex-snapshot
The Relationship Between Lockdowns and Video Game Playtime: Multilevel Time-Series Analysis Using Massive-Scale Data Telemetry
inferred← citeshttps://doi.org/10.24132/csrn.2021.3002.19openalex-snapshot
Relevant Independent Variables on MOBA Video Games to Train Machine Learning Algorithms
inferred← citeshttps://doi.org/10.24132/csrn.2021.3101.19openalex-snapshot
Relevant Independent Variables on MOBA Video Games to Train Machine Learning Algorithms
inferred← citeshttps://doi.org/10.33330/jurteksi.v9i2.1866openalex-snapshot
MOBILE LEGEND GAME PREDICTION USING MACHINE LEARNING REGRESSION METHOD
inferred← citeshttps://doi.org/10.3389/fnhum.2021.777779openalex-snapshot
Long-Term Motor Learning in the “Wild” With High Volume Video Game Data
inferred← citeshttps://doi.org/10.48550/arxiv.2105.14069openalex-snapshot
The Evaluation of Rating Systems in Team-based Battle Royale Games
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