| Summary: | 碩士 === 國立臺灣科技大學 === 工業管理系 === 107 === Multiscale Entropy (MSE) is a popular tool for analysis to represent time series complexity at multiple scales in recent years. However, in MSE analysis there is a lack of relevant research on goal-directed tasks with input devices. In our study we review the relevant research in the concept of entropy, the reciprocal movement and the Fitts’ Law. Thus, the experimental environment is built under the framework of Fitts’ Law to design the display environment and define task difficulty and angle. The experiment is divided into two part. Experiment 1 is a basic repeated goal-directed task with reciprocal movement. Experiment 2 which considers the angle factor is a two-dimensional bivariate goal-directed task with reciprocal movement. By the OptiTrack Motion Capture System which can convert human characteristics into data, the trajectory of hand movement is collected for analysis to discuss the influence of different factors on the MSE. The results of the study were that the movement trajectory of using the stylus is more complex than mouse. When the task demand increases, the complexity of the movement trajectory will decrease. For angle factor, at large scale, it is confirmed that movement trajectory in 120-300 degree is more complex than 0-180 degrees. In the end, it is expected that the results of this study will contribute to the application of MSE.
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