通过街机游戏解构专业知识和绩效

IF 2.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Joshua Juvrud;Magnus Johansson;Gustaf Gredebäck;Pär Nyström
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引用次数: 0

摘要

电子游戏中的高水平表现可能与乐器中的高水平表现具有相同的潜在基础。本研究的目的是通过研究视频游戏任务中眼球运动的潜在过程来检验专业知识现象。在训练和测试期间,我们比较了三个截然不同的群体(N = 30名成年人):1)有电子游戏经验的人;2)有乐器演奏经验但没有电子游戏经验的人;3)对照组既没有电脑游戏经验也没有乐器经验。结果显示,音乐家组通过他们的眼球运动模式来区分自己,在视觉预测和表现方面表现出与经验丰富的电子游戏玩家相当的进步。虽然控制组的表现也有所改善,眼球运动也有所增加,但只有音乐家组的表现达到了有经验的电子游戏玩家的水平。研究结果挑战了先前的假设,即认为专业知识是一种孤立的、特定任务的能力,不能推广到其他领域,并对我们如何理解专业知识和一般学习的发展具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Deconstruction of Expertise and Performance Through Arcade Games
High levels of performance in video games may share the same underlying foundation for transfer with high levels of performance in musical instruments. The aim of this study was to examine the phenomenon of expertise by studying its underlying processes through eye movements during video game tasks. We compared three distinctly different groups (N = 30 adults) across a training and testing period: 1) people with experience in video games; 2) people with experience playing musical instruments, but no experience with video games; and 3) a control group with no experience with either computer games or musical instruments. Results showed that the musician group distinguished themselves through their pattern of eye movements, showing improvements in visual prediction and performance on par with experienced video game players. While the control group also showed overall improvement in performance and increased eye movements, only the group of musicians performed at the level of experienced video game players. Findings challenge previous assumptions that consider expertise as an isolated and task-specific ability that cannot be generalized to other areas and have significant implications for how we understand the development of expertise and general learning.
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来源期刊
IEEE Transactions on Games
IEEE Transactions on Games Engineering-Electrical and Electronic Engineering
CiteScore
4.60
自引率
8.70%
发文量
87
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