Methods for presenting and determining the efficacy of progressive pictorial and motion-based CAPTCHAs
DCFirst Claim
1. 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 configured such that a subset of said set of 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. presenting said electronic image in said first image state and progressively revealing information 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.
2 Assignments
Litigations
2 Petitions
Accused Products
Abstract
Methods for presenting and determining the efficacy of progressive pictorial and motion-based CAPTCHAs are disclosed. The CAPTCHA system uses images, pictures, and/or motion for granting access to a computing system. The images can be culled from examples used in pictorial games, and can progressively presented to increase the strength of the CAPTCHA challenges. Speech recognition, motion and touch sensing can also be employed as parts of the challenge. When a CAPTCHA is presented, the methods may include steps of measuring efficacy by determining a percentage of users who are able to solve the CAPTCHA correctly within a defined period of time.
113 Citations
14 Claims
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1. A method of testing recognition of images for a Completely Automatic Public Turing Test To Tell Humans And Computers Apart (CAPTCHA) system comprising:
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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 set of 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. presenting said electronic image in said first image state and progressively revealing information 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. - View Dependent Claims (2, 3, 4)
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5. A method of providing a visual Completely Automatic Public Turing Test To Tell Humans And Computers Apart (CAPTCHA) challenge comprising:
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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. - View Dependent Claims (6, 7, 8, 9)
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10. A method of testing recognition of images for a Completely Automatic Public Turing Test To Tell Humans And Computers Apart CAPTCHA system comprising:
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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. - View Dependent Claims (11, 12, 13, 14)
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Specification