Play, watch, analyze, repeat: How do players develop competitive gaming skills?

IF 2.8 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS Entertainment Computing Pub Date : 2025-01-01 DOI:10.1016/j.entcom.2024.100908
Günter Wallner , Aakash Johry , Marnix van Wijland , Regina Bernhaupt , Simone Kriglstein
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引用次数: 0

Abstract

Players usually have a strong desire to improve their game-specific skills to perform well in a game. A desire which has been further reinforced by the increase of multiplayer games and the rise of competitive gaming. While research on learning through games is extensive, work on how players gain expertise in competitive games is less common. This paper presents an exploratory mixed-methods study examining how players learn to play video games across three competitive game genres and which factors influence their self-efficacy. Our results show that the approaches to learning as well as influential factors on self-efficacy are largely independent across the investigated genres. Moreover, learning to play extends beyond the act of play itself and is strongly reflective and social. Based on the results, we discuss high-level characteristics of learning and self-efficacy which can serve as a starting point for future research and design interventions aimed at supporting learning processes of players.
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来源期刊
Entertainment Computing
Entertainment Computing Computer Science-Human-Computer Interaction
CiteScore
5.90
自引率
7.10%
发文量
66
期刊介绍: Entertainment Computing publishes original, peer-reviewed research articles and serves as a forum for stimulating and disseminating innovative research ideas, emerging technologies, empirical investigations, state-of-the-art methods and tools in all aspects of digital entertainment, new media, entertainment computing, gaming, robotics, toys and applications among researchers, engineers, social scientists, artists and practitioners. Theoretical, technical, empirical, survey articles and case studies are all appropriate to the journal.
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