Research on the influence of comprehensibility and interpretability of false privacy empowerment clues on privacy disclosure - Based on the perspective of cognitive load and immediate construction

Author:

Sun Rui1,Zhu Qiuhua1,Cheng Ru Xia1,Tang Wenlong1,Zuo Jiajia1,Lv Dong1,Qin Shukun1

Affiliation:

1. Huaqiao University

Abstract

Abstract In the era of artificial intelligence, false privacy empowerment has become a crucial means for digital enterprises and platforms to "manipulate" users and create an illusion of control. It has also become an urgent and pressing topic for current research. However, existing studies have been limited in their perspectives and methodologies, making it challenging to fully explain why users express concerns about false privacy empowerment but repeatedly disclose their personal information. This study combines the APE model and cognitive load theory, using event-related potential (ERP) technology to investigate the underlying mechanisms of how the comprehensibility and interpretability of false privacy empowerment cues affect users' immediate attitudes and privacy disclosure behaviors, mediated by different psychological processing and cognitive load. The behavioral research results indicate that in the context of low comprehensibility of false privacy empowerment cues, users are more inclined to disclose their privacy when faced with high interpretability compared to low interpretability. The EEG results show that in the context of low comprehensibility of false privacy empowerment cues, high interpretability induces higher P2 amplitudes compared to low interpretability; low interpretability induces higher N2 amplitudes compared to high interpretability. This study extends the scope of the APE model and cognitive load theory in the field of privacy research, providing new insights into privacy attitudes. It offers a valuable framework for digital enterprises to gain a deeper understanding of users' genuine privacy attitudes and immediate reactions under false privacy empowerment situations. This understanding can help enhance user privacy protection and improve the overall online experience, making it highly relevant and beneficial.

Publisher

Research Square Platform LLC

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