English
Related papers

Related papers: Performance Dynamics and Success in Online Games

200 papers

Tasks of different nature and difficulty levels are a part of people's lives. In this context, there is a scientific interest in the relationship between the difficulty of the task and the persistence need to accomplish it. Despite the…

Human-Computer Interaction · Computer Science 2024-04-25 Leonardo Ribeiro da Cunha , Leonardo Oliveira Mendes , Renio dos Santos Mendes

Esports athletes often reduce visual quality to improve latency and frame rate, and increase their in-game performance. Little research has examined the effects of this visuo-spatial tradeoff on performance, but we could find no work…

Graphics · Computer Science 2025-07-10 Arjun Madhusudan , Benjamin Watson

Retaining players over an extended period of time is a long-standing challenge in game industry. Significant effort has been paid to understanding what motivates players enjoy games. While individuals may have varying reasons to play or…

Social and Information Networks · Computer Science 2017-02-28 Kunwoo Park , Meeyoung Cha , Haewoon Kwak , Kuan-Ta Chen

The popularity of computer games is remarkably high and is still growing every year. Despite this popularity and the economical importance of gaming, research in game design, or to be more precise, of game mechanics that can be used to…

Human-Computer Interaction · Computer Science 2019-09-24 Philipp Moll , Veit Frick , Natascha Rauscher , Mathias Lux

MOBA games, e.g., Dota2 and Honor of Kings, have been actively used as the testbed for the recent AI research on games, and various AI systems have been developed at the human level so far. However, these AI systems mainly focus on how to…

Did you know that over 70 million of Dota2 players have their in-game data freely accessible? What if such data is used in malicious ways? This paper is the first to investigate such a problem. Motivated by the widespread popularity of…

Cryptography and Security · Computer Science 2023-05-02 Pier Paolo Tricomi , Lisa Facciolo , Giovanni Apruzzese , Mauro Conti

Today's competition between the professional eSports teams is so strong that in-depth analysis of players' performance literally crucial for creating a powerful team. There are two main approaches to such an estimation: obtaining features…

Human-Computer Interaction · Computer Science 2019-08-20 Anton Smerdov , Evgeny Burnaev , Andrey Somov

Online competitive action games have flourished as a space for entertainment and social connections, yet they face challenges from a small percentage of players engaging in disruptive behaviors. This study delves into the under-explored…

Effective teamwork is essential in structured, performance-driven environments, from professional organizations to high-stakes competitive settings. As tasks grow more complex, achieving high performance requires not only technical…

Social and Information Networks · Computer Science 2025-06-06 Nico Elbert , Alicia von Schenk , Fabian Kosse , Victor Klockmann , Nikolai Stein , Christoph Flath

Deep reinforcement learning (DRL) has effectively enhanced gameplay experiences and game design across various game genres. However, few studies on fighting game agents have focused explicitly on enhancing player enjoyment, a critical…

Artificial Intelligence · Computer Science 2025-04-11 Shouren Wang , Zehua Jiang , Fernando Sliva , Sam Earle , Julian Togelius

Individual behavior and decisions are substantially influenced by their contexts, such as location, environment, and time. Changes along these dimensions can be readily observed in Multiplayer Online Battle Arena games (MOBA), where players…

Artificial Intelligence · Computer Science 2021-02-24 Julie Jiang , Kristina Lerman , Emilio Ferrara

Online games are the most popular form of entertainment among youngsters as well as elders. Recognized as e-Sports, they may become an official part of the Olympic Games by 2020. However, a long waiting time for matchmaking will largely…

Performance · Computer Science 2019-11-28 Mingkuan Xu , Yang Yu , Chenye Wu

We consider a version of large population games whose players compete for resources using strategies with adaptable preferences. The system efficiency is measured by the variance of the decisions. In the regime where the system can be…

Condensed Matter · Physics 2009-11-10 K. Y. Michael Wong , S. W. Lim , Peixun Luo

Evolutionary game theory classically investigates which behavioral patterns are evolutionarily successful in a single game. More recently, a number of contributions have studied the evolution of preferences instead: which subjective…

Computer Science and Game Theory · Computer Science 2015-05-27 Paolo Galeazzi , Michael Franke

From sports to science, the recent availability of large-scale data has allowed to gain insights on the drivers of human innovation and success in a variety of domains. Here we quantify human performance in the popular game of chess by…

Physics and Society · Physics 2022-07-19 Sandeep Chowdhary , Iacopo Iacopini , Federico Battiston

Evolutionary games provide the theoretical backbone for many aspects of our social life: from cooperation to crime, from climate inaction to imperfect vaccination and epidemic spreading, from antibiotics overuse to biodiversity…

Physics and Society · Physics 2020-11-04 I. Sendiña-Nadal , I. Leyva , M. Perc , D. Papo , M. Jusup , Z. Wang , J. A. Almendral , P. Manshour , S. Boccaletti

Multiplayer games have long been used as testbeds in artificial intelligence research, aptly referred to as the Drosophila of artificial intelligence. Traditionally, researchers have focused on using well-known games to build strong agents.…

Esports has emerged as a popular genre for players as well as spectators, supporting a global entertainment industry. Esports analytics has evolved to address the requirement for data-driven feedback, and is focused on cyber-athlete…

Artificial Intelligence · Computer Science 2017-11-20 Victoria Hodge , Sam Devlin , Nick Sephton , Florian Block , Anders Drachen , Peter Cowling

Recently, there have been several high-profile achievements of agents learning to play games against humans and beat them. In this paper, we study the problem of training intelligent agents in service of game development. Unlike the agents…

We consider clustering player behavior and learning the optimal team composition for multiplayer online games. The goal is to determine a set of descriptive play style groupings and learn a predictor for win/loss outcomes. The predictor…

Social and Information Networks · Computer Science 2015-03-10 Hao Yi Ong , Sunil Deolalikar , Mark Peng