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A 'bot' prevention method combining traditional displays and Augmented Reality (AR)

IP.com Disclosure Number: IPCOM000238989D
Publication Date: 2014-Sep-30
Document File: 8 page(s) / 299K

Publishing Venue

The IP.com Prior Art Database

Abstract

This idea is based around captchas to prevent bots from imitating humans. It would be used when a user is on a standard screen such as a laptop, and has access to an AR device. When presented with a captcha, the captcha would be split into two halves, one of which is displayed on the standard screen and the other displayed on the AR device. The user must provide an answer to the captcha by combining the AR overlay and the screen to make sense of the captcha.

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A 'bot' prevention method combining traditional displays and Augmented Reality (AR)

Currently, millions of commands that are assumed to be undertaken by humans are performed daily by 'bots'; automated software that run repeated tasks. The consequence of these bots vary depending on their purpose. Examples of bots include repeatedly loading or posting on sites to increase views (such as on video hosting sites) or ratings (such as on application stores), scanning auction sites for comparatively good deals and placing the winning bid at the last second, gathering the best seats quickly on ticket sale sites, repeating time consuming tasks on massively multi-player role-playing games, downloader programs that suck bandwidth by downloading entire sites, spam bots that repeatedly create accounts and post on blogs and social media, or bots that pull email addresses from sites and spam users with unrelated email.

    The main issues associated with bots is that they are able to complete tasks far quicker and in larger quantity than humans can, creating issues across web based industries. Many of their functions are malicious and/or have unfair consequences compared to users not using bots.

    The problem solved by this idea is creating a method which would prevent, or considerably complicate, the access to certain sites or programs by these bots.

    The current solution is called a 'CAPTCHA', which is an acronym for 'Completely Automated Public Turing test to tell Computers and Humans Apart' (US6195698 B1). This often consists of displaying distorted words, symbols or images to the user, making them difficult for a bot to recognise. The most commonly used method is call reCAPTCHA, which not only provides bot protection, but also helps digitalise written texts by displaying distorted words from scanned documents - a functionality this disclosure will maintain. However, computer character recognition is constantly being improved to solve the increasingly difficult problems. Recent developments have shown that Google StreetView's image recognition software is now able to decipher most CAPTCHAs (http://techcrunch.com/2014/04/16/googles-new-street-view-image-recognition-algori thm-can-beat-most-captchas/). Furthermore, companies have opened sweatshops in developing countries where cheap labour is used to answer the CAPTCHAs for the bots to gain access.

    Another issue with current CAPTCHA methods is that they are functional for alphabetic writing systems such as the Latin Alphabet. However, the current methods have a highly limited functionality in logographic (e.g. Chinese) or syllabic (e.g. Japanese) writing systems, as distortion of the symbols often results in the distortion of the meaning of the symbol, making interpretation as difficult for the human user as it is for bots.

    Finally, current CAPTCHA methods are receiving increasingly negative sentiments as they are becoming more complicated and difficult to decipher. These feelings are illustrated by...