Abstract: A method, computer program product, and visual display apparatus include a processor(s) obtaining data indicating that a user wearing the apparatus (which included an image capture device, and a projection device, communicatively coupled to the processor(s)), perceives displayed text with consistent character differences. The processor(s) obtains, from the image capture device, an image of a visual display within a visual range of the image capture device; the image includes textual elements. Based on the data, the processor(s) transforms the image into the new image that includes the textual elements with pre-defined character substitutions, based on the consistent character differences. The processor(s) displays, via the projection device, the new image, to the user, wherein based on viewing the new image, the user views the textual elements without the consistent character differences.

Abstract: A method, computer program product, and visual display apparatus include a processor(s) obtaining data indicating that a user wearing the apparatus (which included an image capture device, and a projection device, communicatively coupled to the processor(s)), perceives displayed text with consistent character differences. The processor(s) obtains, from the image capture device, an image of a visual display within a visual range of the image capture device; the image includes textual elements. Based on the data, the processor(s) transforms the image into the new image that includes the textual elements with pre-defined character substitutions, based on the consistent character differences. The processor(s) displays, via the projection device, the new image, to the user, wherein based on viewing the new image, the user views the textual elements without the consistent character differences.

Abstract: Character input error correction is provided by receiving from a keyboard character input by a user. The character input includes character input errors by the user, the character input errors being input of incorrect characters by the user via the keyboard. The character input errors of the character input are automatically identified and classified into character error classification(s). Each character error classification corresponds to a respective visual transformation of input characters. It is determined that a frequency of the identified and classified character input errors exceeds a predefined threshold confidence level for triggering application of keyboard corrections for user input. Based on the determining, keyboard corrections are applied for user input. The applying keyboard corrections includes applying a correction to character(s) displayed for or input by the user. The applied correction is based on at least one of the classification(s) into which the character input errors are classified.

Abstract: A first hardware component identifier may be read for a first hardware component of a computing device. The reading of the first hardware component identifier for the first hardware component may be performed by a processor of the computing device reading a read-only memory of the first hardware component. A second hardware component identifier and an alert indicator over a network may be received. The second hardware component identifier and the alert indicator may correspond with the first hardware component. The first hardware component identifier may be compared with the second hardware component identifier. The computing device may be disabled when the first hardware component identifier matches the second hardware component identifier and the alert indicator indicates that the first hardware component has been reported stolen.

Abstract: A first hardware component identifier may be read for a first hardware component of a computing device. The reading of the first hardware component identifier for the first hardware component may be performed by a processor of the computing device reading a read-only memory of the first hardware component. A second hardware component identifier and an alert indicator over a network may be received. The second hardware component identifier and the alert indicator may correspond with the first hardware component. The first hardware component identifier may be compared with the second hardware component identifier. The computing device may be disabled when the first hardware component identifier matches the second hardware component identifier and the alert indicator indicates that the first hardware component has been reported stolen.

Abstract: A first hardware component identifier may be read for a first hardware component of a computing device. The reading of the first hardware component identifier for the first hardware component may be performed by a processor of the computing device reading a read-only memory of the first hardware component. A second hardware component identifier and an alert indicator over a network may be received. The second hardware component identifier and the alert indicator may correspond with the first hardware component. The first hardware component identifier may be compared with the second hardware component identifier. The computing device may be disabled when the first hardware component identifier matches the second hardware component identifier and the alert indicator indicates that the first hardware component has been reported stolen.

Abstract: A method, computer program product, and visual display apparatus include a processor(s) obtaining data indicating that a user wearing the apparatus (which included an image capture device, and a projection device, communicatively coupled to the processor(s)), perceives displayed text with consistent character differences. The processor(s) obtains, from the image capture device, an image of a visual display within a visual range of the image capture device; the image includes textual elements. Based on the data, the processor(s) transforms the image into the new image that includes the textual elements with pre-defined character substitutions, based on the consistent character differences. The processor(s) displays, via the projection device, the new image, to the user, wherein based on viewing the new image, the user views the textual elements without the consistent character differences.

Abstract: Character input error correction is provided by receiving from a keyboard character input by a user. The character input includes character input errors by the user, the character input errors being input of incorrect characters by the user via the keyboard. The character input errors of the character input are automatically identified and classified into character error classification(s). Each character error classification corresponds to a respective visual transformation of input characters. It is determined that a frequency of the identified and classified character input errors exceeds a predefined threshold confidence level for triggering application of keyboard corrections for user input. Based on the determining, keyboard corrections are applied for user input. The applying keyboard corrections includes applying a correction to character(s) displayed for or input by the user. The applied correction is based on at least one of the classification(s) into which the character input errors are classified.

Abstract: Character input error correction is provided by receiving from a keyboard character input by a user. The character input includes character input errors by the user, the character input errors being input of incorrect characters by the user via the keyboard. The character input errors of the character input are automatically identified and classified into character error classification(s). Each character error classification corresponds to a respective visual transformation of input characters. It is determined that a frequency of the identified and classified character input errors exceeds a predefined threshold confidence level for triggering application of keyboard corrections for user input. Based on the determining, keyboard corrections are applied for user input. The applying keyboard corrections includes applying a correction to character(s) displayed for or input by the user. The applied correction is based on at least one of the classification(s) into which the character input errors are classified.

Abstract: A method, computer program product, and visual display apparatus include a processor(s) obtaining data indicating that a user wearing the apparatus (which included an image capture device, and a projection device, communicatively coupled to the processor(s)), perceives displayed text with consistent character differences. The processor(s) obtains, from the image capture device, an image of a visual display within a visual range of the image capture device; the image includes textual elements. Based on the data, the processor(s) transforms the image into the new image that includes the textual elements with pre-defined character substitutions, based on the consistent character differences. The processor(s) displays, via the projection device, the new image, to the user, wherein based on viewing the new image, the user views the textual elements without the consistent character differences.

Abstract: Character input error correction is provided by receiving from a keyboard character input by a user. The character input includes character input errors by the user, the character input errors being input of incorrect characters by the user via the keyboard. The character input errors of the character input are automatically identified and classified into character error classification(s). Each character error classification corresponds to a respective visual transformation of input characters. It is determined that a frequency of the identified and classified character input errors exceeds a predefined threshold confidence level for triggering application of keyboard corrections for user input. Based on the determining, keyboard corrections are applied for user input. The applying keyboard corrections includes applying a correction to character(s) displayed for or input by the user. The applied correction is based on at least one of the classification(s) into which the character input errors are classified.

Abstract: A first hardware component identifier may be read for a first hardware component of a computing device. The reading of the first hardware component identifier for the first hardware component may be performed by a processor of the computing device reading a read-only memory of the first hardware component. A second hardware component identifier and an alert indicator over a network may be received. The second hardware component identifier and the alert indicator may correspond with the first hardware component. The first hardware component identifier may be compared with the second hardware component identifier. The computing device may be disabled when the first hardware component identifier matches the second hardware component identifier and the alert indicator indicates that the first hardware component has been reported stolen.

Abstract: A first hardware component identifier may be read for a first hardware component of a computing device. The reading of the first hardware component identifier for the first hardware component may be performed by a processor of the computing device reading a read-only memory of the first hardware component. A second hardware component identifier and an alert indicator over a network may be received. The second hardware component identifier and the alert indicator may correspond with the first hardware component. The first hardware component identifier may be compared with the second hardware component identifier. The computing device may be disabled when the first hardware component identifier matches the second hardware component identifier and the alert indicator indicates that the first hardware component has been reported stolen.

Abstract: A first hardware component identifier may be read for a first hardware component of a computing device. The reading of the first hardware component identifier for the first hardware component may be performed by a processor of the computing device reading a read-only memory of the first hardware component. A second hardware component identifier and an alert indicator over a network may be received. The second hardware component identifier and the alert indicator may correspond with the first hardware component. The first hardware component identifier may be compared with the second hardware component identifier. The computing device may be disabled when the first hardware component identifier matches the second hardware component identifier and the alert indicator indicates that the first hardware component has been reported stolen.