The implementation of face recognition technology and its effect on e-quiz credibility

• Published in: Asian journal on quality Vol. 11; no. 2; pp. 125 - 136
• Main Authors: Chen, Ruey-Shin, Hsieh, Kevin Kuang, Tsai, Chih-Hung
• Format: Journal Article
• Language: Korean
• Published: 2010
• Subjects: Human nature; Tests and testing; Online operations; Internet; Pattern recognition
• ISSN: 1598-2688

Purpose - Current online testing often lacks credibility, integrity, and reliability, though many online tests are implemented. Online testing with face recognition is a relatively new form of web-based testing model in comparison to current testing. The purpose of this paper is to discuss implementation of face recognition technology to increase quiz efficacy and build credible online quiz systems. Design/methodology/approach - While existing models of web-based quiz systems are being improved, most current quiz models do not consider the function of fraud detection during a web-based quiz. Online testing credibility includes the perceptions of the student and teacher on how the site would meet their expectations and how believable the testing scores are. Findings - In a survey of faculty (25) and students (257) on online testing credibility, 80 percent of the teachers and 98 percent of the students doubt the score credibility of the current online testing system. After explaining and implementing face recognition system to the subjects, 74 percent of the teachers and 69 percent of the students positively believe the online testing result. According to hypothetical examination, face recognition, practicality, and interaction greatly shape users' opinions regarding online testing credibility. Originality/value - The most prominent finding in this paper is that face recognition technology positively improves the online testing credibility.