研究生: |
林怡君 Yi-Chun Lin |
---|---|
論文名稱: |
費茲作業反覆運動之多尺度熵研究 Multiscale Entropy of Reciprocal Movement in Fitts’ task |
指導教授: |
林久翔
Chiu-Hsiang Lin |
口試委員: |
林希偉
Shi-Woei Lin 孫天龍 Tien-Lung Sun |
學位類別: |
碩士 Master |
系所名稱: |
管理學院 - 工業管理系 Department of Industrial Management |
論文出版年: | 2019 |
畢業學年度: | 107 |
語文別: | 中文 |
論文頁數: | 82 |
中文關鍵詞: | 費茲作業 、反覆運動 、多尺度熵 |
外文關鍵詞: | Fitts’ Task, Reciprocal Movement, Multiscale Entropy |
相關次數: | 點閱:222 下載:0 |
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多尺度熵(MSE)是一種近年來熱門的分析工具,用來代表多個尺度的時間序列複雜性,但較少利用此工具對不同輸入裝置的目標導向作業進行探討。本研究先回顧過去熵的概念、反覆運動及費茲定律相關研究,將實驗環境建立在費茲定律的框架下,進行顯示器環境設計、任務難度的定義及角度的設定,而實驗將分為兩種,實驗一為基礎的重複費茲反覆運動的目標導向作業,實驗二為包含角度因素的二維雙變量目標導向作業,透過動作捕捉系統(OptiTrack Motion Capture System)可將運動動作轉換成數位資料的特性,收集手部的運動軌跡,作為MSE分析的原始數據,以探討不同因子對於MSE的影響。其結果顯示,操控觸控筆的運動軌跡比操控滑鼠更具有複雜性;當任務需求增加時,其運動軌跡的複雜度會降低;當角度在大尺度時證實120-300度的運動軌跡比0-180度更複雜。期望透過本研究結果能為MSE應用於費茲反覆運動的作業上帶來貢獻。
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.
Aliverti, A. (2017). Wearable technology: Role in respiratory health and disease. Breathe, 13(2), e27-e36.
Boltzmann, L. (1896). Vorlesungen über Gastheorie, 2 vols. Barth, Leipzig, 1898.
Bootsma, R. J., Fernandez, L., & Mottet, D. (2004). Behind Fitts’ law: kinematic patterns in goal-directed movements. International Journal of Human-Computer Studies, 61(6), 811-821.
Boritz, J., & Cowan, W. B. (1991). Fitts's law studies of directional mouse movement. human performance, 1(6).
Chapuis, O., Blanch, R., & Beaudouin-Lafon, M. (2007). Fitts' law in the wild: A field study of aimed movements.
Clausius, R. (1865). Über verschiedene für die Anwendung bequeme Formen der Hauptgleichungen der mechanischen Wärmetheorie. Annalen der Physik, 201(7), 353-400.
Cockburn, A., Ahlström, D., & Gutwin, C. (2012). Understanding performance in touch selections: Tap, drag and radial pointing drag with finger, stylus and mouse. International Journal of Human-Computer Studies, 70(3), 218-233.
Costa, M., Goldberger, A. L., & Peng, C.-K. (2002). Multiscale entropy analysis of complex physiologic time series. Physical review letters, 89(6), 068102.
Costa, M., Goldberger, A. L., & Peng, C.-K. (2005). Multiscale entropy analysis of biological signals. Physical review E, 71(2), 021906.
Costa, M., Goldberger, A. L., & Peng, C. (2000). Multiscale entropy analysis (MSE). Available at:)([Accessed: 37 March 27, 2014]) http://physionet. org/physiotools/mse/tutorial/tutorial. pdf View in Article, 38.
Costa, M., Peng, C.-K., Goldberger, A. L., & Hausdorff, J. M. (2003). Multiscale entropy analysis of human gait dynamics. Physica A: Statistical Mechanics and its Applications, 330(1-2), 53-60.
Fernandez, L., & Bootsma, R. J. (2004). Effects of biomechanical and task constraints on the organization of movement in precision aiming. Experimental Brain Research, 159(4), 458-466.
Fernandez, L., & Bootsma, R. J. (2008). Non-linear gaining in precision aiming: making Fitts’ task a bit easier. Acta psychologica, 129(2), 217-227.
Fitts, P. M. (1954). The information capacity of the human motor system in controlling the amplitude of movement. Journal of experimental psychology, 47(6), 381.
Fitts, P. M., & Peterson, J. R. (1964). Information capacity of discrete motor responses. Journal of experimental psychology, 67(2), 103.
Forlines, C., Wigdor, D., Shen, C., & Balakrishnan, R. (2007). Direct-touch vs. mouse input for tabletop displays. Paper presented at the Proceedings of the SIGCHI conference on Human factors in computing systems.
Guiard, Y. (1993). On Fitts's and Hooke's laws: Simple harmonic movement in upper-limb cyclical aiming. Acta psychologica, 82(1-3), 139-159.
Hong, S., & Newell, K. (2008). Motor entropy in response to task demands and environmental information. Chaos, 18(3), 033131-033131.
Hornbæk, K. (2006). Current practice in measuring usability: Challenges to usability studies and research. International Journal of Human-Computer Studies, 64(2), 79-102.
ISO, I. 9241-9 Ergonomic requirements for office work with visual display terminals (VDTs)-Part 9: Requirements for non-keyboard input devices (FDIS-Final Draft International Standard), 2000. International Organization for Standardization.
Lai, S.-C., Mayer-Kress, G., Sosnoff, J. J., & Newell, K. M. (2005). Information entropy analysis of discrete aiming movements. Acta psychologica, 119(3), 283-304.
Lake, D., Moorman, J., & Hanqing, C. (2012). Sample entropy estimation using sampen. PhysioNet.
Li, Y., Wang, X., Liu, Z., Liang, X., & Si, S. (2018). The entropy algorithm and its variants in the fault diagnosis of rotating machinery: A review. IEEE Access, 6, 66723-66741.
MacKenzie, I. S., & Buxton, W. (1992). Extending Fitts' law to two-dimensional tasks. Paper presented at the Proceedings of the SIGCHI conference on Human factors in computing systems.
MacKenzie, I. S., Sellen, A., & Buxton, W. A. (1991). A comparison of input devices in element pointing and dragging tasks. Paper presented at the Proceedings of the SIGCHI conference on Human factors in computing systems.
Nielsen, J. (1993). Iterative user-interface design. Computer, 26(11), 32-41.
Nurwulan, N., & Jiang, B. (2016). Possibility of using entropy method to evaluate the distracting effect of mobile phones on pedestrians. Entropy, 18(11), 390.
Pan, W.-Y., Su, M.-C., Wu, H.-T., Lin, M.-C., Tsai, I., & Sun, C.-K. (2015). Multiscale entropy analysis of heart rate variability for assessing the severity of sleep disordered breathing. Entropy, 17(1), 231-243.
Pincus, S. M. (1991). Approximate entropy as a measure of system complexity. Proceedings of the National Academy of Sciences, 88(6), 2297-2301.
Richman, J. S., & Moorman, J. R. (2000). Physiological time-series analysis using approximate entropy and sample entropy. American Journal of Physiology-Heart and Circulatory Physiology, 278(6), H2039-H2049.
Sasangohar, F., MacKenzie, I. S., & Scott, S. D. (2009). Evaluation of mouse and touch input for a tabletop display using Fitts' reciprocal tapping task. Paper presented at the Proceedings of the Human Factors and Ergonomics Society Annual Meeting.
Schaal, S., Sternad, D., Osu, R., & Kawato, M. (2004). Rhythmic arm movement is not discrete. Nature neuroscience, 7(10), 1136.
Seely, A. J., & Macklem, P. T. (2004). Complex systems and the technology of variability analysis. Critical care, 8(6), R367.
Smits-Engelsman, B., Van Galen, G., & Duysens, J. (2002). The breakdown of Fitts’ law in rapid, reciprocal aiming movements. Experimental Brain Research, 145(2), 222-230.
Vetter, S., Bützler, J., Jochems, N., & Schlick, C. M. (2011). Fitts’ law in bivariate pointing on large touch screens: Age-differentiated analysis of motion angle effects on movement times and error rates. Paper presented at the International Conference on Universal Access in Human-Computer Interaction.
Whisenand, T. G., & Emurian, H. H. (1999). Analysis of cursor movements with a mouse. Computers in Human Behavior, 15(1), 85-103.
Woodworth, R. S. (1899). Accuracy of voluntary movement. The Psychological Review: Monograph Supplements, 3(3), i.
Wu, H.-T., Hsu, P.-C., Lin, C.-F., Wang, H.-J., Sun, C.-K., Liu, A.-B., . . . Tang, C.-J. (2011). Multiscale entropy analysis of pulse wave velocity for assessing atherosclerosis in the aged and diabetic. IEEE Transactions on Biomedical Engineering, 58(10), 2978-2981.
Wu, Y., & Song, R. (2017). Effects of task demands on kinematics and EMG signals during tracking tasks using multiscale entropy. Entropy, 19(7), 307.
丁一, 郭伏, 胡名彩, & 孙凤良. (2014). 用户体验国内外研究综述. 工业工程与管理(2014 年 04), 92-97,114.
蒙恬行動筆 ─ 多平台精準極細觸控筆. Retrieved from https://store.penpower.com.tw/products/penpower-pencil