Research on Privacy and Security Protection in Multi-App Human-Computer Interaction Based on User Experience

Xuantong Guo

2025

Abstract

With the popularization of muti-platform interaction technology, the widespread use of applications has increased the risk of privacy leakage, and user privacy security has become a key issue affecting user experience. This paper, from the user’s perspective, systematically analyzes the challenges of privacy security protection in a multi-app environment. By integrating privacy security design principles and technical means of privacy protection in a multi-app situation, this paper proposes a solution centered on user perception optimization, based on full life cycle data protection, and supported by cross-platform collaboration. This paper finds that the adoption of dynamic permission control and privacy computing technology can reduce the risk of leakage while ensuring data value. At the same time, through cross-app data sharing standards (e.g., OAuth 2.0) and unified privacy management interface design, user operation efficiency and trust can be improved. In addition, this paper suggests building a centralized privacy framework to address the risks of intelligent agent authentication and XR environments. This paper provides a systematic path for balancing privacy security and user experience, which is of great practical value for building a sustainable multi-platform interaction ecology.

Paper Citation

in Harvard Style

Guo X. (2025). Research on Privacy and Security Protection in Multi-App Human-Computer Interaction Based on User Experience. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 10-16. DOI: 10.5220/0014290700004718

in Bibtex Style

@conference{emiti25,
author={Xuantong Guo},
title={Research on Privacy and Security Protection in Multi-App Human-Computer Interaction Based on User Experience},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={10-16},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014290700004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - Research on Privacy and Security Protection in Multi-App Human-Computer Interaction Based on User Experience
SN - 978-989-758-792-4
AU - Guo X.
PY - 2025
SP - 10
EP - 16
DO - 10.5220/0014290700004718
PB - SciTePress