Zhang Wenyi, Zhang Hengtian, Deng Zhouyang
School of Information Management, Nanjing University, Nanjing, Jiangsu Province, China.
Department of Chinese and Bilingual Studies, Faculty of Humanities, The Hong Kong Polytechnic University, Hong Kong, China.
Sci Rep. 2025 Jan 18;15(1):2419. doi: 10.1038/s41598-025-86603-w.
Absrtact: In the era of digital intelligence, biometrics plays a critical role in mediating sensitive information dissemination, human-computer interaction, and governance in both virtual and real-world settings, including the evolving metaverse. Based on an empirical analysis of 1,862 participants, the current study investigated factors influencing public perception, acceptance, and risk awareness of biometric technologies. The findings highlight the critical roles of perceived trust (PT) and technical prudence (TP) in driving behavioral intentions (BI), with their positive effects outweighing the significant deterrent impact of perceived risks (PR). While PT and perceived availability (PA) significantly enhance the adoption of biometric technologies, TP exhibited an unexpected positive influence, suggesting that cautious users may still embrace biometrics if perceived as secure and trustworthy. These results emphasize the urgency of refining legal and regulatory frameworks, improving risk mitigation strategies, and enhancing user confidence to foster the responsible adoption and utilization of biometric technologies. This study offers valuable insights into the interplay of factors such as perceived trust, risks, and technological prudence in shaping behavioral intentions, contributing to a deeper understanding of biometrics in a rapidly digitizing society.
在数字智能时代，生物识别技术在虚拟和现实环境（包括不断发展的元宇宙）中调解敏感信息传播、人机交互及治理方面发挥着关键作用。基于对1862名参与者的实证分析，本研究调查了影响公众对生物识别技术的认知、接受度及风险意识的因素。研究结果突出了感知信任（PT）和技术审慎（TP）在驱动行为意图（BI）方面的关键作用，其积极影响超过了感知风险（PR）的显著威慑作用。虽然PT和感知可用性（PA）显著促进了生物识别技术的采用，但TP表现出意想不到的积极影响，这表明如果被认为安全可靠，谨慎的用户可能仍会接受生物识别技术。这些结果强调了完善法律法规框架、改进风险缓解策略以及增强用户信心以促进生物识别技术的负责任采用和利用的紧迫性。本研究为感知信任、风险和技术审慎等因素在塑造行为意图中的相互作用提供了有价值的见解，有助于在快速数字化的社会中更深入地理解生物识别技术。
