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About

Ryuya Uda is a researcher whose work sits at the intersection of cybersecurity and human-computer interaction, with a particular focus on innovative CAPTCHA design. His primary research area involves developing text-based CAPTCHAs that leverage the phonemic restoration effect—a psychological phenomenon where the brain "fills in" missing sounds—and similar pronunciation, especially with Asian accents. Uda's major contribution is proposing a novel approach to bot detection that exploits the subtle differences between human auditory perception and machine speech recognition. His most cited work, "Text-Based CAPTCHA Using Phonemic Restoration Effect and Similar Pronunciation with an Asian Accent" (2014), has garnered 21 citations, demonstrating its influence in the field. He has also explored the use of three-dimensional objects in CAPTCHA systems, broadening the scope of visual challenges. Uda's research is notable for its creative application of cognitive science principles to a practical security problem, offering a potential countermeasure against bots that acquire accounts for spam and phishing. His work continues to inspire new directions in human-centered security.