隨著科技發展日新月異，生物辨識技術的發展亦是一日千里，美國911恐怖攻擊後，生物辨識技術大量應用於反恐以及國境安全，人臉辨識技術亦應用於快速通關。本研究主要想探討一般大眾對於人臉辨識技術應用於一般企業管理之使用意願，透過計劃行為理論(TPB)作為研究架構，並加入便利價值、信任與安全性兩構面來發展研究量表。
本研究以發放問卷方式進行，針對不同年齡層、性別、職業、年收入等對象，並使用偏最小平方分析法Smart PLS　來進行結構方程模型分析，評估使用者對使用人臉辨識技術的接受程度。
結果顯示，影響人臉辨識技術之使用意願的五項因素裡(態度、主觀規範、知覺行為控制、便利價值及信任與安全性)，其中態度與信任與安全性兩個構面，深深影響使用者之使用意願，因此，一般企業在應用人臉辨識技術於企業管理時，可著重於實質優惠回饋與資訊安全部分考量，強化使用者態度，並針對安全性及信任著手，來有效提升一般人民使用意願。

With the progressive development of biometric technology, more and more application burst out due to its convenience and advantage. Since 911 terrorist attacks, many nations applied face detection technology in their boarding systems. During this study I would like to explore the general interest for face detection in identity of the daily access control, through theory of planned behavior (TPB) as a research framework, and convenience value as well as trust and security as facets in this research scale.
This study is carrying on in questionnaire, for different ages, genders, occupations, the amount of income and other objects. Both partial least squares analysis and Smart PLS (Partial Least Squares, PLS) structures equation modeling analysis to evaluate users’ acceptance of face detection.
I found that 5 factors which affect willingness to use face detection in daily access control are attitude, subjective norm, perceived behavioral control, convenience value, and trust and security. In addtion, attitude and confidence and security deeply affect the willingness of users, therefore, in the implementation of face detection in daily access control or further applications, administrative level of enterprises need to focus on offering substantive feedback and thinking of the information security, in order to enhance the user’s confidence. For promoting biometric technology, security and confidence are 2 key issues that would determine the public's willingness.

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