Method and System for Implementing Multi-Level Advanced User Cognition in CAPTCHA
Publication Date: 2013-Oct-17
The IP.com Prior Art Database
A method and system is disclosed for implementing multi-level advanced user cognition into each Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA).
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Method and System for Implementing Multi -Level Advanced User Cognition in CAPTCHA
Disclosed is a method and system for implementing multi-level advanced user cognition into each Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA).
In accordance with the method and system, a user is presented with a picture containing multiple components. The picture may include a brief textual description. The user is required to assemble the multiple components to solve the CAPTCHA. The assembly of some of the multiple components may depend on certain factors associated with the user. The factors may be one or more of, but not limited to, whether the user is right handed or left handed and time of the day when the user is interacting with the CAPTCHA. In an embodiment, the picture may prompt a user to input personal information of the user. For example, the picture may prompt for the birthday of the user.
In an exemplary scenario, a picture is presented to a user wherein the picture includes different components to validate the user as illustrated in Fig. 1.
The user is required to place a watch (level two object) displayed in Fig. 1on a dominant arm of the user. For example, if the user is left handed then the watch is required to be placed on the left hand of the user. Information about dominant arm of the user is known to the system. Additionally, the user is required to set a time on the watch according to the birthday of the user....