Methods for presenting and determining the efficacy of progressive pictorial and motion-based CAPTCHAs

A method of providing a visual Completely Automatic Public Turing Test To Tell Humans And Computers Apart (CAPTCHA) challenge comprising:

• a. automatically electing an electronic image for a participant with a computing system, wherein said electronic image comprises a set of imagery data other than words and wherein said electronic image is configured such that a subset of said imagery data for said electronic image can be made perceptible in a first image state;
• b. associating said electronic image with one or more concepts;
• c. progressively revealing information in said electronic image over a first time period within an interface for said participant using said computing system;
• d. automatically processing responses from the participant with the computing system to detect if a guess from said participant for said one or more concepts associated with said electronic image meets a required threshold;
• and
• e. determining a percentage of participants with guesses meeting the required threshold within a predetermined time.

A method of testing recognition of images for a Completely Automatic Public Turing Test To Tell Humans And Computers Apart CAPTCHA system comprising:

• a. automatically electing an electronic image for a participant with a computing system, wherein said electronic image comprises a set of imagery data other than words, and wherein said electronic image is presentable with differing amounts of data, including a first image state in which only a first portion of the image information therein is perceptible;
• b. associating said electronic image with one or more concepts;
• c. presenting said electronic image in said first image state and progressively revealing additional information in said electronic image over a first time period within an interface for said participant using said computing system;
• d. automatically processing responses from the participant with the computing system to correlate an accuracy of guesses from said participant for said one or more concepts associated with said electronic image;
• and
• e. calculating a percentage of participants able to decode and accurately guess said one or more concepts within a predetermined time.