International Business Machines Corporation

Other

Lisa Seeman

Shunguo Yan

Richard Scott Schwerdtfeger

John Conrad Sanchez

Steven Duane Clay

Michal Broz

Embodiments disclosed herein include methods and apparatuses for providing security to computer users with disabilities, who configure their computers to personalize output in a fashion that enables the user to more easily understand the content of the output. While previously a computer configured to personalize output accordingly may have served as a source of disability information to unauthorized parties accessing the computers, embodiments disclosed herein configure computers for personalization without leaving thereon a record how the personalization was specified during the configuration process. Thus, an unauthorized party gaining access to the user's computer would find it very difficult, if not impossible, to determine the user's disability from an inspection of the computer, so the user is much less likely to become a victim of fraud based on an unauthorized discovery of information regarding vulnerabilities.

Secure computer personalization

A method for generating and presenting accessibility resolution models to accessibility problems is provided. The method may include detecting user behavior patterns associated with users. The method may further include generating user groups and subgroups based on the detected user behavior patterns. Additionally, the method may include identifying accessibility problems based on the detected user behavior patterns and the generated user groups and subgroups. The method may also include generating accessibility profiles based on the detected user behavior patterns, the generated user groups and subgroups, and the identified accessibility problems. The method may further include determining correlations between the generated accessibility profiles and business loss indicators. The method may also include generating and presenting accessibility resolution models to the identified accessibility problems based on the detected user behavior patterns, the generated user groups and subgroups, and the determined correlations between the generated accessibility profiles and business loss indicators.

Accessibility detection and resolution

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Beit Shemesh, Israel

Lisa Seeman