由於社會快速變遷，今日的駕駛者，面臨的行車干擾比起往常更為多樣繁雜，包括如隨身攜帶的行動手機、台灣地區特有的檳榔西施等。且因應國內先進車輛科技應用發展迅速，如衛星導航、行車警示、車載機視聽娛樂等車內設施已逐漸落實於一般車輛，原意是要輔助駕駛者安全地行駛操控車輛或提供各項服務，但國內外研究逐漸發現，車內設施提供資訊反而造成駕駛者過多的負荷致使產生分心行為，有愈趨嚴重的狀況發生。另外一方面也由於交通環境組成日趨複雜，周遭環境的影響也成為駕駛分心的主要原因之一。根據歷年車輛肇事原因鑑定分析，來自於駕駛者人為因素的比例始終佔歷年來第一位。
　　有鑑於國內並無針對駕駛者眾多分心來源，進行問卷分析探究其相關性及共同因素，故本研究以駕駛分心(Driver Distraction)為研究主題，蒐集國內外相關文獻，將多數駕駛者可能發生分心狀況，分成車內事物、車外事物與道路天候三類，設計符合國內民情及目前車輛科技趨勢之駕駛分心問卷，藉以量化駕駛者心理感受並進行因素分析及信度量測，篩選出駕駛分心之主要因素。問卷分析結果顯示，使用車內資訊系統、使用車內基本設施、能見度影響、路外干擾、交通資訊等為五個共同因素命名，針對這些重要的分心因子，實有必要進行實驗以深入探討。因此本研究選擇適合進行實驗之顯著因素做為實驗因子，規劃擬真的交通情境及有效的實驗流程，利用駕駛模擬器(Driving Simulator, DS)進行模擬實驗。
　　考量先進安全車輛與智慧型運輸系統之發展趨勢，乃將車前防撞警示系統((Forward Collision Warning Systems)，並遵循實驗設計理論，考量實驗合理性及受測者本身所包含的不確定性與工作負擔，選擇車前防撞測試與受測者年齡做為區集劃分與隨機性安排方式減少已知且可控制與未知且不可控制的干擾因子，採取重複實驗以減少估計誤差，並規劃重複拉丁方陣之區集化因子設計法，兼顧效率與實驗目的，以評估駕駛者受分心因子影響下行車安全績效之表現的影響程度。

　Analyzing the reasons of traffic accidents, most traffic accidents are affected by the human factors, such as improper or drunk behavior etc. Traffic accidents are also listed cause of main death. It shows that human factors are key points. However, the range of the human factors is wide. This study considers fast growth of advanced vehicle techniques and changes of traffic environment, the drivers must face variety and complexity of interference. As for these concerns, this paper chooses driver distraction as principle topics.
　Using questionnaires of driver distraction inquires driver’s feeling. The results express listening to music, watching vehicle TV, road-side advertisement board and fog through factor analysis are chosen as the factors to discuss. The relationship between the driving behavior and the effect of four factors are founded by experiments on driving simulator (DS). And treat forward collision warning systems as contrast groups in order to evaluate driver’s response because of development of Intelligent Trnasportation System (ITS). In design of experiment, the forward collision warning systems and the driver’s age are considered as blocks to diminish the noise from the knowable and controllable factors. Randomization is used to decrease the noise from the unknown and uncontrollable factors. Besides, in order to reduce the error in estimation, the experiment must be replicated. Statistic model that be used is replicated latin square of factorial design in a randomized block to simplify number of experiment and satisfy efficiency and objectives.

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