Titlebook: Entertainment Computing – ICEC 2022; 21st IFIP TC 14 Inte Barbara G?bl,Erik van der Spek,Rod McCall Conference proceedings 2022 IFIP Intern

FERAL

書目名稱Entertainment Computing – ICEC 2022影響因子(影響力)




書目名稱Entertainment Computing – ICEC 2022影響因子(影響力)學科排名




書目名稱Entertainment Computing – ICEC 2022網(wǎng)絡公開度




書目名稱Entertainment Computing – ICEC 2022網(wǎng)絡公開度學科排名




書目名稱Entertainment Computing – ICEC 2022被引頻次




書目名稱Entertainment Computing – ICEC 2022被引頻次學科排名




書目名稱Entertainment Computing – ICEC 2022年度引用




書目名稱Entertainment Computing – ICEC 2022年度引用學科排名




書目名稱Entertainment Computing – ICEC 2022讀者反饋




書目名稱Entertainment Computing – ICEC 2022讀者反饋學科排名

混雜人

Comfortably Numb? Violent Video Games and Their Effects on Aggression, Mood, and Pain-Related Respone [.], no desensitization was found for player responses to pain stimuli in three lab experiments. Compared to a non-violent game, VVG exposure neither affected physiological responses, nor participants’ self-reports of perceived pain caused by thermal stress. In addition, the level of game immersio

言外之意

Discovering the?Motivational Constitution of?‘Playing Games for?Fun’f a concept seems to be associated with everything, it logically follows that the concept lacks explanatory power. In this paper, we do not merely settle for the blunt conclusion that fun is not an interesting research concept. Rather we start to explore the phenomenon of fun by approaching it throu

古老

Towards an?Understanding of?How Players Make Meaning from?Post-Play Process Visualizationss, may be able to advance retrospective visualization. However, we currently do not know how players make meaning from process visualizations of game data. In this work, we take a first step towards addressing this gap by examining how players make meaning from process visualizations of other player

阻撓

amplitude

amplitude

OptimizingMARL: Developing Cooperative Game Environments Based on?Multi-agent Reinforcement Learning and ecosystems full of agents. These environments are known as multi-agent environments. In this domain, reinforcement learning has been explored to develop artificial agents in games. In reinforcement learning, the agent must discover which actions lead to greater rewards by experimenting with the

FIR

Game Engine Comparative Anatomy to the best of our knowledge, they are often developed in isolation, in a closed-source manner, without architectural discussions, comparison, and collaboration among projects. In this work in progress, we compare the call graphs of two open-source engines: Godot 3.4.4 and Urho3D 1.8. While static

incarcerate

存在主義

Mental Wear and?Tear: An Exploratory Study on?Mental Fatigue in?Video Games Using the?Example of?Lealexity, time investment and cognitive strain to acquire proficiency and keep up with competitors grow with them. Fundamental psychological work stresses the detrimental impact of sinking extensive amounts of time into tasks onto mental health and capabilities to perform in those tasks. However, the