隨著物聯網 (IoT) 興起，智慧物聯網裝置在消費者家中越來越常見，感測技術使智慧裝置得以運作，在其中更是扮演著不可或缺的角色。家庭物聯網智慧裝置中的感測技術需要蒐集大量的使用者資料，潛藏個人隱私暴露及安全性風險。然而，現存的研究鮮少提及家庭物聯網感測技術、隱私考量和使用者抗拒行為間的關聯，因此，本研究以抗拒理論為基礎，探討感測技術在智慧家庭中之隱私考量，並著重於七種感測技術- 環境感測、臉部辨識、性別辨識、手勢控制、健康監測、存在及動作感測對於資訊隱私考量、身體隱私考量、心理隱私考量等三面向的影響。經量化研究調查354個樣本，以SPSS、SmartPLS分析後，結果顯示消費者對於性別辨識感測技術持有較多的心理隱私考量，且心理面的隱私考量最為導致使用者抗拒家庭物聯網智慧裝置中的感測技術，資訊隱私考量、身體隱私考量與使用者抗拒家庭物聯網智慧裝置中的感測技術較無關聯。對於一般科技的信任立場、資訊的敏感程度在本研究模型中分別具有負向與正向的調節作用。

With the rise of the Internet of Things (IoT), smart IoT devices are growing dramatically in consumer households. Sensing technologies play a vital role in smart-homes (SH), enabling smart devices to provide services. The data collection process of sensing technologies in home IoT has exposed privacy and security risks. However, the associations between home IoT sensing technologies, privacy concerns, and user resistance are omitted from the existing scientific works. We implement the resistive modeling approach and specifically draw on the impact of seven types of sensing technologies: environmental sensing, face recognition, gender identification, gesture control, health monitoring, motion and presence detection, and voice control on the three aspects of privacy concerns: informational, physical, and psychological. The proposed model is tested using data collected from 354 people in Taiwan through a quantitative approach with SPSS and SmartPLS as analytical tools. Results show that gender identification raises the most severe psychological concern. Moreover, psychological privacy concern is the most critical privacy concern construct resulting in user resistance in the context of home IoT sensing technologies, the informational and physical privacy concerns are regarded as irrelevant. Lastly, the negative moderating effect of trusting stance- general technologies is also addressed along with the positive moderating effect of information sensitivity.

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