AI 中文总结
该研究针对现有鼠标传感器校准方法耗时的问题，提出基于双传感器鼠标模拟光标轨迹、通过路径平直度（MAE）估计最优位置的方法，可将校准时间从1小时缩至5分钟并提升识别准确性。
AI 中文摘要
计算机鼠标上的最优传感器位置可提升指向性能，但现有校准方法需耗时重复执行指向任务。本文提出一种新型校准方法，大幅减少确定用户最优鼠标传感器位置所需的时间与精力。该方法采用双传感器鼠标模拟不同传感器位置下的光标轨迹，无需针对多种传感器放置方式进行重复测量；通过分析模拟路径的平直度（以相对于理想直线路径的平均绝对误差（MAE）量化），估计能为用户带来最高效指向动作的传感器位置。初步结果表明，所提基于模拟的校准方法可将校准时间从1小时缩短至仅5分钟，同时能更准确地识别最优鼠标传感器位置。
英文摘要
The optimal sensor position on a computer mouse can improve pointing performance, but existing calibration methods require time-consuming repetitions of pointing tasks. In this paper, we propose a novel calibration approach that dramatically reduces the time and effort required to determine a user's optimal mouse sensor position. Our method simulates cursor trajectories for different sensor positions using a dual-sensor mouse, eliminating the need for repetitive measurements with multiple sensor placements. By analyzing the straightness of the simulated paths, quantified by the mean absolute error (MAE) relative to an ideal straight-line path, we estimate the sensor position that would yield the most efficient pointing motion for the user. Our preliminary results indicate that the proposed simulation-based calibration method could reduce the calibration time from an hour to just five minutes, while providing a better identification of the optimal mouse sensor positions.
Journal refUIST Adjunct 2024: Adjunct Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology Article No.: 104, Pages 1 - 3
