arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1906.01699cs.HCcs.CYstat.AP
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视觉注视持续时间作为eSports技能水平的指标

Visual Fixations Duration as an Indicator of Skill Level in eSports

Boris B. Velichkovsky, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov

摘要:

使用像计算机游戏这样的高度互动系统需要大量的视觉活动和眼球运动。眼球运动的最佳特征是视觉固定-眼睛在物体上保持相对静止的时间段。我们分析了职业运动员、业余运动员和新手运动员的注视时间分布。我们发现,注视持续时间的分析可以用来推断计算机游戏玩家的技能水平。高技能的游戏性能的特点是固定持续时间和双峰固定持续时间分布的变化表明存在两种固定类型的高技能的游戏玩家。这些固定类型被确定为周围(自动空间处理)和焦点(有意识的视觉处理)。通过分析注视持续时间来分析计算机游戏玩家的技能水平可以用于开发自适应界面和界面设计。

英文摘要:

Using highly interactive systems like computer games requires a lot of visual activity and eye movements. Eye movements are best characterized by visual fixation - periods of time when the eyes stay relatively still over an object. We analyzed the distributions of fixation duration of professional athletes, amateur and newbie players. We show that the analysis of fixation durations can be used to deduce the skill level in computer game players. Highly skilled gaming performance is characterized by more variability in fixation durations and by bimodal fixation duration distributions suggesting the presence of two fixation types in high skill gamers. These fixation types were identified as ambient (automatic spatial processing) and focal (conscious visual processing). The analysis of computer gamers' skill level via the analysis of fixation durations may be used in developing adaptive interfaces and in interface design.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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