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Assessment of Driving Detection Performance by a Desktop Simulator

以虛擬環境技術衡量駕駛偵測績效

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摘要


本研究目的係在虛擬環境中檢驗性別、場地獨立/依賴性與背景複雜度對駕駛行爲之影響,進而提出在設計駕駛模擬器與其相關的訓練計畫時應重視的原則與方向。實驗採用二受試者間因子(性別、場地獨立/依賴性)與-受試者內因子(背景複雜度)來評估48名受試者(男女各24名)的駕駛偵測績效(反應時間、漏失反應與過度反應的次數)。研究結果不僅顯示出性別、場地獨立/依賴性與背景複雜度的主要效果,更明確展現出這些實驗因子間交互對駕駛偵測績效較爲複雜且多樣性的影響情形。

並列摘要


The purpose of this research was to examine the effects of gender, field dependence and background complexity on driving behaviors. Two between-subjects factors of gender and field dependence and one within-subjects factor of background complexity were used to evaluate driving detection performance of 48 subjects (24 males and 24 females) through the use of virtual-environment technologies. Dependent measures included detection performance (reaction time, missing responses and over reactions), visual fatigue and subjective feelings of the participants toward the virtual driving environments. The results not only showed similar main effects of gender, field dependence and background complexity on detection performance as past studies indicated, but also demonstrated strong evidence in those interactions of multiple experimental factors on driving detection performance in different ways.

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