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研究生: 陳姵錡
Pei-Chi Chen
論文名稱: 不同平板重量因子與手部握姿對前臂負荷影響之研究
An Investigation of Weight Load and Posture Effects on Forearm Limb in Tablet Using
指導教授: 林樹強
Shu-Chiang Lin
口試委員: 紀佳芬
Chia-Fen Chi
溫照華
Chao-hua Wen
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: 2014
畢業學年度: 102
語文別: 中文
論文頁數: 75
中文關鍵詞: 重量前臂肌肉負荷手部握持姿勢柏格自覺量表肌肉肌電訊號
外文關鍵詞: Object Weight, Forearm Muscle Loading, Holding Posture, Borg, EMG
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寬頻網路普及、無線網路提升、雲端技術的發展,使得依賴3G、4G或Wifi的智慧型裝置伴隨著成長, 2010年iPad問世,平板電腦開始引領風潮,逐漸成為人們生活中不可或缺的手持行動裝置,若從人因工程觀點言之,平板電腦需要支撐手握持以方便操作,因此為「手持」行動設備。隨著平板未來將走向大尺吋發展,重量相對於此變成一個棘手的問題,長時間的操作下,對於不同握持姿式平板電腦的支撐手,在肌肉骨骼上仍可能造成不適或傷害。
有鑒於此,本研究透過實驗設計,模擬不同重量下的平板電腦模型,進行操作實驗,研究目的為了解各重量因子與手部握持姿勢對於前臂負荷的影響,實驗階段針對前臂負荷之量測實驗,實驗設計為兩個自變項,分別為重量水準四個:450g、500g、550g、600g;手部握持姿勢兩種:拇指扣壓(Thumb Wrap Posture)、拇指伸展握壓由魚際肌協助(Thumb Extended with Thenar Support)。依變項在客觀方面為前臂肌肉肌電訊號值及手腕角度,主觀方面以柏格自覺費力量表與開放式問卷填寫得知主觀喜好及費力與疲勞感受。
實驗結果顯示,當設計超過550g會顯著影響前臂負荷,建議未來在重量考量設計上不要超過550g,降低傷害發生風險;握持姿式方面,建議以拇指扣壓的姿勢使用平板電腦,對於握持支撐手的負荷較小。對於疲勞而言,無明顯重量因子造成疲勞程度上差異;握持姿勢為造成疲勞顯著影響的因子,其中拇指扣壓較不易造成疲勞產生。希望透過本研究實驗結果,能提供使用者與設計者在未來的使用上或設計方面改善之參考依據。


With the vast development of network, wireless fidelity and cloud technology, the usage of smart devices that depend on 3G, 4G or Wi-Fi technology increase dramatically in recent years. Since the launch of iPad in 2010, tablets have led the trend and have been becoming indispensable handheld mobile devices in our daily life. Tablets, which are regarded as handheld mobile equipment, need to be held on the bracing hand in order to be operated easily. Since the development trend of tablets is set to making the size larger, the weight of tablets becomes a critical issue to consider from human factors engineering perspective. Another issue needs to be thought through is whether different holding postures on the bracing hand can cause damages to the muscle and skeleton under long period of operation.
The purpose of the study is to investigate the effects of forearm limb’s loading under different weights and different holding postures. Four tablet prototypes based on weight are designed in the experiment. Two independent variables, including four different weights of the tablet prototypes and two bracing types of handheld, are considered in the experimental design.Specifically, there are 4 levels for weight :450g,500g, 550g, and 600g; and there are 2 levels for holding postures, namely Thumb Wrap Posture and Thumb Extended with Thenar Support. The psychophysical measurements of the dependent variables are the signal of myoelectricity for forearm limb and the angle of wrist under different weights and holding postures. Borg scales and the open-question questionnaire from users’ perceived exertion and fatigue are used as the subjective assessment.
The experiment result shows that 550g is a upper bound of load, which implies that when the device weight is heavier than 550g it might cause significant impact on forearm limb loading. With this result, a design of tablet no more than 550g is advised to not increase the risk of damages to forearm limb. The experiment result also shows that the posture of Thumb Wrap Posture has less loading than that of Thumb Extended with Thenar Support, which suggests that the former posture is recommended than the latter posture for the bracing hand. However, subjective assessment of fatigue did not show any statistically significant difference among four different weights.
In conclusion, 550g is a upper bound of load and Thumb Wrap Posture shows less fatigue than Thumb Extended with Thenar Support when using tablets. The experiment results provide helpful information for designers to improve the user experiences both psychologically and physically.

摘要 i Abstract ii 致謝 iii 目錄 iv 圖目錄 vi 表目錄 vii 第一章 緒論 - 1 - 1.1研究背景 - 1 - 1.2研究動機 - 2 - 1.3研究目的 - 3 - 1.4研究限制 - 3 - 1.5研究架構 - 4 - 第二章 文獻探討 - 6 - 2.1平板電腦 - 6 - 2.1.1平板電腦市場規格發展 - 7 - 2.1.2平板電腦使用相關研究 - 10 - 2.2手部機能與運動分析 - 12 - 2.2.1手部握持相關研究 - 13 - 2.2.2常見傷害 - 15 - 2.3人因評估方法 - 16 - 2.3.1 EMG相關應用研究 - 17 - 2.3.2主觀衡量 - 18 - 第三章 研究方法 - 20 - 3.1 受測者徵募 - 20 - 3.2 實驗設計 - 21 - 3.2.1自變項 - 21 - 3.2.2依變項 - 22 - 3.2.3控制變項 - 22 - 3.3 實驗設備及評估技術 - 23 - 3.3.1 自製互動式重量模擬平版模型 - 23 - 3.3.2無線肌電圖量測系統 - 25 - 3.3.3關節角度量測儀 - 27 - 3.3.4電子磅秤 - 28 - 3.3.5 數位攝影機 - 28 - 3.3.6 自覺費力量表 - 29 - 3.4 實驗流程 - 30 - 3.4.1前測流程 - 32 - 3.4.2 主實驗流程 - 32 - 3.5資料處理及分析方法 - 36 - 3.5.1 資料處理 - 36 - 3.5.2 分析方法 - 37 - 第四章 實驗結果與討論 - 38 - 4.1前臂負荷程度數據分析 - 38 - 4.1.1尺側屈腕肌負荷程度 - 38 - 4.1.2屈指淺肌負荷程度 - 39 - 4.1.3外展拇長肌負荷程度 - 41 - 4.2前臂肌肉疲勞數據分析 - 43 - 4.2.1尺側屈腕肌疲勞程度 - 43 - 4.2.2屈指淺肌疲勞程度 - 44 - 4.2.3外展拇長肌疲勞程度 - 45 - 4.3手腕角度數據分析 - 46 - 4.3.1手腕角度X軸 - 46 - 4.3.2手腕角度Y軸 - 47 - 4.4主觀評比數據分析 - 48 - 4.5討論 - 51 - 4.5.1尺側屈腕肌負荷 - 51 - 4.5.2屈指淺肌與外展拇長肌重量負荷關係 - 52 - 4.5.3肌肉疲勞 - 53 - 4.5.4手腕角度 - 53 - 4.5.5主觀評比 - 53 - 4.5.6整體評比分析 - 54 - 第五章 結論與建議 - 56 - 5.1結論 - 56 - 5.1.1重量 - 56 - 5.1.2握持姿勢 - 57 - 5.2建議 - 57 - 5.3未來研究方向 - 58 - 參考文獻 - 59 - 附錄 - 63 - 附錄一、實驗試驗表 - 63 - 附錄二、實驗同意書 - 64 - 附錄三、主觀問卷 - 65 -

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