Dynamic privacy hierarchical design to optimize the user experience of financial management
Authors: Xiaoyun Jing, Junyao Fan, Yufei Liu
Abstract: As the social attributes of fund financial products for young people have increased, users have begun to share financial management information in social circles, which has become a new way of privacy disclosure. Generally, users have a lower willingness to disclose financial information, but the social emotion gains become the benefit points of privacy fluctuations in this scenario. We looked forward to improving the user experience of financial income information sharing services from the perspective of privacy protection. Dynamic privacy classification control could help users reduce the hidden dangers of privacy disclosure, which helped to overcome the above problem. We conducted semi-structured interviews and behavioral observations with young users (18-35 years old) who purchased financial products online to explore users' attitudes towards sharing financial information. We asked participants to rank the privacy sensitivity of their information shared online to establish a privacy classification standard for financial information sharing. According to the research, user roles, users' financial management capabilities, and the sharing scenarios of financial information would all affect users’ privacy sensitivity. Therefore, we established a dynamic model. Finally, we showed the participants a design prototype of dynamic privacy classification control. Almost every participant found it perceivable and useful, improving their user experience of using financial income information sharing services. Privacy classification protection research usually discussed user privacy rights and social ethics, but thought less of user's own experience. The study introduced dynamic privacy classification control to provide a reference for the optimization of user experience design.
Keywords: Privacy classification, Dynamically controls, User experience
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