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Proceedings of the 4th International Conference on Image, Algorithms, and Artificial Intelligence, ICIAAI 2026, 22-24 May 2026, Singapore, Singapore

Research Article

Analysis of Big Data Privacy Risks and Countermeasures in Human-Computer Interaction Context

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  • @INPROCEEDINGS{10.4108/eai.22-5-2026.2365093,
        author={Lijing  Jiang},
        title={Analysis of Big Data Privacy Risks and Countermeasures in Human-Computer Interaction Context },
        proceedings={Proceedings of the 4th International Conference on Image, Algorithms, and Artificial Intelligence, ICIAAI 2026, 22-24 May 2026, Singapore, Singapore},
        publisher={EAI},
        proceedings_a={ICIAAI},
        year={2026},
        month={8},
        keywords={Human-computer interaction; Big data privacy risks; Privacy protection framework; Multimodal interaction design; Privacy feedback technology},
        doi={10.4108/eai.22-5-2026.2365093}
    }
    
  • Lijing Jiang
    Year: 2026
    Analysis of Big Data Privacy Risks and Countermeasures in Human-Computer Interaction Context
    ICIAAI
    EAI
    DOI: 10.4108/eai.22-5-2026.2365093
Lijing Jiang1,*
  • 1: Chengdu University of Information Technology, Chengdu, Sichuan, China
*Contact email: JINGJEAN2004@outlook.com

Abstract

This article focuses on the large-scale information privacy security issues in the context of human-computer interaction and the corresponding management methods. It deeply analyzes the interaction and intrinsic connection between human-computer interaction and the risks of large-scale information privacy. It comprehensively summarizes the common privacy threat types in human-computer interaction scenarios, and provides targeted privacy risk prevention and control measures from both technical and management perspectives, establishing a privacy protection system that integrates technology and institutions. The research results show that current privacy protection research is trending towards a shift from the "notification - consent" model to the "communication - control" mechanism. Multi-channel interaction design and privacy reminder technology have become the focus of academic attention. This research has theoretical support and practical guidance value for improving the privacy protection mechanism in the human-computer interaction environment.

Keywords
Human-computer interaction; Big data privacy risks; Privacy protection framework; Multimodal interaction design; Privacy feedback technology
Published
2026-08-31
Publisher
EAI
http://dx.doi.org/10.4108/eai.22-5-2026.2365093
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