| Summary: | 碩士 === 中華大學 === 資訊管理學系 === 106 === Wearable devices are popular electronic technology products. There is no unified standard of privacy support and features for companies that manufacture wearable devices; this study aims to explore public perceptions of privacy and whether privacy concern is a factor in the adoption of wearable devices. The results are provided to government agencies as a reference for enhanced advocacy and amendment, and companies' reference for adjust privacy policies and improve privacy features for the development of wearable devices.
This study refers Privacy Calculus and adopts Perceived Privacy Risk and combines Technology Acceptance Model (TAM) as Perceived Benefits, merges privacy rights into Perceived Privacy Demand, and proposes as the three aspects.
Survey Techniques was adopted, and the questionnaire was placed on the online questionnaire platform. Total of 231 copies were collected and 167 samples were valid. The valid sample ratio was 72.29%. Regression analysis was used to analyze the influence of each factor. There were six factors that had a significant influence on the adoption of wearable devices. The positive influence factors were perceived ease of use, perceived usefulness, right of object and restriction of processing, constraints and trust. The negative influence factors were right to be forgotten and right of rectification. The factors without influence were sensitivity and anxiety, right of access and to be informed, and right of data portability.
The results of the study help government to strengthen privacy publicity, such as attention to the content of the information collected, and correctness and readability of the information; help companies to improve privacy protection and development of more privacy functions such as providing individual consent to collect or use the information and can be stopped at any time; improve data correctness and adjustable, correctable, and deletable; work with the sports or health data analysis websites, provide data to improve the quality of data analysis. Regards to the government policies, expand and clearly define personal data and scope of use; raise a committee to discuss an unified format for data storage in order to improve the availability and portability of data.
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