Department of Psychology, Umeå University, Umeå, Sweden.
PLoS One. 2018 Oct 29;13(10):e0206555. doi: 10.1371/journal.pone.0206555. eCollection 2018.
In this study, we investigated whether working memory capacity (WMC), personality characteristics (grit) and number of matches played (time on task) can predict performance score (matchmaking rating [MMR]) in experienced players of a popular video game called Dota 2. A questionnaire and four online-based cognitive tasks were used to gather the data, and structural equation modelling (SEM) was used to investigate the interrelationships between constructs. The results showed that time on task was the strongest predictor of MMR, and grit also significantly influenced performance. However, WMC did not play a substantial role in predicting performance while playing Dota 2. These results are discussed in relation to sample characteristics and the role of deliberate practice and skill acquisition within the domain of playing Dota 2. Further, we suggest that future research investigates the social aspects of attaining skill, the relationship between personality and performance, and the qualitative aspects of time spent on a task.
在这项研究中,我们调查了工作记忆容量(WMC)、人格特质(坚毅)和比赛场次(任务时间)是否可以预测流行视频游戏《Dota 2》经验丰富玩家的表现得分(匹配等级[MMR])。我们使用问卷和四项在线认知任务来收集数据,并使用结构方程模型(SEM)来研究结构之间的相互关系。结果表明,任务时间是 MMR 的最强预测因素,坚毅也对表现有显著影响。然而,在玩《Dota 2》时,WMC 对预测表现并没有起到实质性作用。我们根据样本特征以及在玩《Dota 2》领域中刻意练习和技能获取的作用讨论了这些结果。此外,我们建议未来的研究调查获得技能的社会方面、人格与表现的关系以及任务时间的定性方面。