Authors: Amelio, Alessia
Janković, Radmila 
Tanikić, Dejan
Draganov-Rumenov, Ivo
Title: Predicting the Usability of the Dice CAPTCHA via Artificial Neural Network
Journal: Communications in Computer and Information Science
Volume: 988
First page: 44
Last page: 58
Conference: 15th Italian Research Conference on Digital Libraries, IRCDL 2019; Pisa; Italy; 31 January 2019 through 1 February 2019
Issue Date: 1-Jan-2019
ISBN: 978-3-030-11225-7
ISSN: 1865-0929
DOI: 10.1007/978-3-030-11226-4_4
This paper introduces a new study of the CAPTCHA usability which analyses the predictability of the solution time, also called response time, to solve the Dice CAPTCHA. This is accomplished by proposing a new artificial neural network model for predicting the response time from known personal and demographic features of the users who solve the CAPTCHA: (i) age, (ii) device on which the CAPTCHA is solved, and (iii) Web use in years. The experiment involves a population of 197 Internet users, who is required to solve two types of Dice CAPTCHA on laptop or tablet computer. The data collected from the experiment is subject to the artificial neural network model which is trained and tested to predict the response time. The proposed analysis provides new results of usability of the Dice CAPTCHA and important suggestions for designing new CAPTCHAs which could be closer to an “ideal” CAPTCHA.
Keywords: CAPTCHA | Prediction | Usability
Publisher: Springer Link
Project: Development of new information and communication technologies, based on advanced mathematical methods, with applications in medicine, telecommunications, power systems, protection of national heritage and education 

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