Evaluating the effect of face recognition technology on citizens’ happiness

Wenlong Zhu, Dan Shi, Jongki Kim and Jian Mou

Behaviour and Information Technology, 2025, vol. 44, issue 9, 1872-1885

Abstract: Face recognition technology (FRT) has a significant impact on citizens’ lives. Based on involvement theory, interaction ritual chain theory, social interaction theory, and the task-technology fit (TTF) model, this study evaluates the effect of FRT on citizens’ happiness. We conducted data collection in a Chinese region widely using FRT, with 653 effective samples, using structural equation models to evaluate the data. Finally, we draw five novel and valuable conclusions. First, task characteristics have a significant positive influence on TTF, but a similar effect is not evident between TTF and technical characteristics. Second, cognitive involvement positively affects positive emotion, which subsequently positively affects actual use. Third, TTF has a significant positive impact on actual use, which can also be transmitted through positive emotion. Fourth, actual use and positive emotion have a significant positive effect on feedback interaction. Fifth, feedback interaction has a significant positive effect on happiness, and this impact can also be transmitted through social connection. A potential contribution of this study is its theoretical framework and empirical model, which integrate the similarities and differences between FRT and other technologies used to meet citizens’ needs, revealing respondents’ reactions to and appreciation for FRT.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2024.2380095 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:44:y:2025:i:9:p:1872-1885

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2024.2380095

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().