论文标题
第一人称定位任务中的鼠标灵敏度效应
Mouse Sensitivity Effects in First-Person Targeting Tasks
论文作者
论文摘要
尽管在线进行了数十亿小时的游戏和大量的讨论，但对第一人称目标任务的鼠标敏感性建议差异为10倍或更多，并且在竞争性和娱乐性游戏社区中仍然是一个积极的辩论话题。受到以前基于指针的增益优化的学术文献的启发，我们对目标任务的第一人称鼠标灵敏度进行了首次使用，在任务完成时间和吞吐量中报告了统计学上显着的最佳值范围。由于固有的不相容性（即缺乏可转换性）在先前基于指针的增益文献中采用的灵敏度指标与描述第一人称靶向的敏感性指标之间，我们提供了对第一人称摄像机控件有用的首个分析性，具有统计学上显着的最佳敏感性。此外，我们证明了这种最佳灵敏度范围（至少部分）是由于受到空间任务难度影响的速度折衷而产生的，类似于先前基于指针的敏感性文献中报道的结果。
Despite billions of hours of play and copious discussion online, mouse sensitivity recommendations for first-person targeting tasks vary by a factor of 10x or more and remain an active topic of debate in both competitive and recreational gaming communities. Inspired by previous academic literature in pointer-based gain optimization, we conduct the first user study of mouse sensitivity in first person targeting tasks, reporting a statistically significant range of optimal values in both task completion time and throughput. Due to inherent incompatibility (i.e., lack of convert-ability) between sensitivity metrics adopted for prior pointer-based gain literature and those describing first-person targeting, we provide the first analytically demonstrated, statistically significant optimal sensitivity range useful for first-person camera controls. Furthermore, we demonstrate that this optimal sensitivity range arises (at least in part) from a speed-precision trade-off impacted by spatial task difficulty, similar to results reported in pointer-based sensitivity literature previously.
