The algorithm and model of user data privacy protection psychological anxiety

Abstract

Background

With the development of smart elderly care technology, the collection and use of user data caused privacy concerns and psychological anxiety. By studying algorithms and models that protect the privacy of user data, it is possible to prevent unauthorized access and misuse of data and promote the sustainable development of technology.

Objects and Methods

SPSS23.0 was used to conduct a quantitative investigation and research, and the sample included 200 users using smart elderly care technology. The Stanford Privacy Concerns Questionnaire (PCQ) was used to assess the level of privacy anxiety among users. Algorithms and models, such as data encryption and blockchain technology, are used to discuss the privacy protection of user data.

Results

The results showed that users had high psychological anxiety about data privacy protection in smart elderly care technology. According to the data, 70% of users expressed concerns about data breaches and privacy violations. However, after the analysis and application of the model and algorithm, the psychological anxiety of users on data privacy protection has been significantly reduced, and 50% of users are satisfied with the privacy protection measures taken.

Conclusions

In the context of smart elderly care, users’ psychological anxiety about data privacy protection exists. The introduction of new algorithms and models, such as data encryption and blockchain technology, can effectively reduce the psychological anxiety of users and improve the acceptance of data privacy protection measures.

Acknowledgement

The Shaanxi Provincial Education Science 13th Five Year Plan (2020) project, No.SGH20Y1428.