| Summary: | 碩士 === 國立臺灣科技大學 === 工業管理系 === 97 === This study examined the effects of changing control-response ratios on the performance of target acquisition with and without moving speeds. In addition, models were developed to express factors on the change of performance on target acquisition in the dynamic tasks. Questionnaires were used to understand participants’ strategies while traced these moving targets.
10 participants were requested to use Side Winder X8 Gaming Mouse (Microsoft) with different dpi settings (250, 1000, 4000 dpi), to trace target of 3 sizes (6, 9, 12, unit: dpi), in 3 distances (20, 40, 60, unit: dpi) and with 3 different speeds (0, 50, 500, unit: dpi/sec) on the 19” TFT-LCD. There was a repetition of two times for each level.
The result showed the mouse with 1000 dpi has the highest performance (0.74 sec) followed by 250 dpi (0.84 sec) and 4000 dpi (0.89 sec). Two strategies would be found, one is to trace and the other is to predict. Participants prefer to predict the path for the fast moving target under dpi 250 and 1000 dpi; whereas, participants prefer to trace for shorter distance while used mouse with 4000 dpi.
Traditional Fitt’s law was used to modeling performance time for moving targets and the mean R2 was as low as 0.3. Extended models were developed by incorporated moving speed and control-response ratios. As a result, they were better fit to the data with a mean R2 of 0.9
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