Analysis of the Human-Computer Interaction on the Example of Image-based CAPTCHA by Association Rule Mining

摘要

The paper analyzes the interaction between humans and computers in terms ofresponse time in solving the image-based CAPTCHA. In particular, the analysisfocuses on the attitude of the different Internet users in easily solving fourdifferent types of image-based CAPTCHAs which include facial expressions like:animated character, old woman, surprised face, worried face. To pursue thisgoal, an experiment is realized involving 100 Internet users in solving thefour types of CAPTCHAs, differentiated by age, Internet experience, andeducation level. The response times are collected for each user. Then,association rules are extracted from user data, for evaluating the dependenceof the response time in solving the CAPTCHA from age, education level andexperience in internet usage by statistical analysis. The results implicitlycapture the users' psychological states showing in what states the users aremore sensible. It reveals to be a novelty and a meaningful analysis in thestate-of-the-art.