Facial Recognition Technology on Attendance Tracking
DOI:
https://doi.org/10.33736/jcsi.5541.2023Keywords:
Attendance Tracking, Facial Recognition Technology, Acceptance Status, Threats, User BehaviorAbstract
Numerous airports have opted to replace traditional check-in systems with advanced Attendance Tracking technology that incorporates face recognition. This paper presents the findings of a research study conducted among individuals aged 20 to 60, currently employed in either government or private sectors. The results shed light on the respondents' attitudes towards and acceptance of this advanced technology, as well as its effectiveness. Technology Acceptance Model (TAM) is implied together with Perceived System Quality (PSQ) in this study. Perceived ease of use (PEOU), perceived usefulness (PU), attitude (ATT), behavioral intention to use (BI), and actual system use are also included in measuring the effect. The outcomes of this investigation indicate a wide acceptance of this technology, particularly in the context of attendance tracking systems. The respondents demonstrate a favorable attitude towards the integration of face recognition technology in various aspects of their lives. The survey encompasses several key components, namely demographic information, awareness of facial recognition technology, and perceptions of system quality. These results provide insights into the viability and acceptance of face recognition technology, validating its potential implementation in attendance tracking systems.
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