The Protection of Personal Information under the Civil Code in the Information Age

At present, we are in the information age, personal information has penetrated into all aspects of our lives, and affects our lives. However, with the development of the times, there are many problems in the protection of personal information, and the protection of personal information has increasingly become the focus of people’s attention, and more and more people call for legal protection of personal information to prevent personal information leakage. The newly published Civil Code clearly states the legal protection measures for personal information, which is in line with the concerns of Chinese netizens. However, from the perspective of the new Civil Code, how to comprehensively and effectively protect personal information and thoroughly plan effective ways and means to protect the personal information of netizens still needs to be discussed in theory and practice

Generalized Minimum Error with Fiducial Points Criterion for Robust Learning

The conventional Minimum Error Entropy criterion (MEE) has its limitations, showing reduced sensitivity to error mean values and uncertainty regarding error probability density function locations. To overcome this, a MEE with fiducial points criterion (MEEF), was presented. However, the efficacy of the MEEF is not consistent due to its reliance on a fixed Gaussian kernel. In this paper, a generalized minimum error with fiducial points criterion (GMEEF) is presented by adopting the Generalized Gaussian Density (GGD) function as kernel. The GGD extends the Gaussian distribution by introducing a shape parameter that provides more control over the tail behavior and peakedness. In addition, due to the high computational complexity of GMEEF criterion, the quantized idea is introduced to notably lower the computational load of the GMEEF-type algorithm. Finally, the proposed criterions are introduced to the domains of adaptive filter, kernel recursive algorithm, and multilayer perceptron. Several numerical simulations, which contain system identification, acoustic echo cancellation, times series prediction, and supervised classification, indicate that the novel algorithms' performance performs excellently.Comment: 12 pages, 9 figure

Anthropomorphism of Intelligent Personal Assistants (IPAs): Antecedents and Consequences

Based on the distinctively anthropomorphic features of intelligent personal assistants (IPAs), this paper proposes a theoretical model to investigate the antecedents and consequences of IPA anthropomorphism based on three-factor theory. Specifically, it is hypothesized that anthropomorphic features of IPAs, which are synthesized speech quality, autonomy, sociability and personality, positively affect IPA anthropomorphism. Meanwhile IPA anthropomorphism influences IPA self-efficacy and social connection positively. IPA self-efficacy and social connection, in turn, are positively related to intention to explore IPAs. Scales will be developed and data will be collected through online survey. Then structural equation model (SEM) will be applied to validate the model

A Proposed Theoretical Model of Discontinuous Usage of Voice-Activated Intelligent Personal Assistants (IPAs)

Based on the contradictory phenomenon of rapid development of Voice-Activated Intelligent Personal Assistants (Voice-Activated IPAs) and discontinuous usage of it, this paper investigates the antecedents of discontinuous usage of Voice-Activated IPAs. We first analyze the topic of Siri usage discussion from Zhihu\u27s Q&A website, and then propose a theoretical model which hypothesized that discontinuous usage of Voice-Activated IPAs are affected by perceived ambiguity, cognitive overload, privacy concern, social embarrassment and lack of integration. It is hypothesized that perceived ambiguity will exert nonlinear impacts on discontinuous usage. Meanwhile, perceived ambiguity is also affected by level of personification in a nonlinear way. Scale development and data collection would be conducted for the future work. It is expected that the results our research could provide theoretical and practical implications for the design of Voice-Activated IPAs