DISCUSSION ON ON-GOING CHALLENGES IN THIS AREA
As we have discussed many models that are used for overcoming color vision deficiency. This sections gives the main challenges in making a user interface for colorblind users are:
1. Frequency of calibration
All the models of color differentiation depends on an in-situ calibration. Moreover, this calibration is short [] and whenever the environment is changes user are not able to perform new calibration. These can be overcome by storing the calibration for future use and expanding the applicability of a calibration.
By storing the calibration, it can be retrieved when similar condition arises. By expanding, the calibration will allow the system to extend the current calibration when condition …show more content…
Increasing the offset value causes the colors that are distinguishable to not distinguishable. When the off setvalue is small, very less no of color are modified and on increasing the offset value distinct color becomes indistinct. This problem can be solves by adjusting the differentiability of the replacement set of the color. This is the main challenge. If problem is solved it can maintain the naturalness of the recolored text/image. After this modification, we can use the limit offset to modify many colors that will result in replacement of color with more …show more content…
This can be solved by simplifying the constraint system. Moreover, by using hierarchical constraint system and one- way constraint system can increase the speed of the system.
6. Semantic Approach
These recoloring tools should grasp the usage of the user and attempt to find the color for colorblind user. There are many attempts to improve the Web accessibility [7, 16] for different disabled user. Semantic approach can help users in providing semantic mechanism to self-describe the intention of the users’ color usage.
FUTURE
As we have discussed many models that are used for overcoming color vision deficiency. This sections gives the main challenges in making a user interface for colorblind users are:
1. Frequency of calibration
All the models of color differentiation depends on an in-situ calibration. Moreover, this calibration is short [] and whenever the environment is changes user are not able to perform new calibration. These can be overcome by storing the calibration for future use and expanding the applicability of a calibration.
By storing the calibration, it can be retrieved when similar condition arises. By expanding, the calibration will allow the system to extend the current calibration when condition …show more content…
Increasing the offset value causes the colors that are distinguishable to not distinguishable. When the off setvalue is small, very less no of color are modified and on increasing the offset value distinct color becomes indistinct. This problem can be solves by adjusting the differentiability of the replacement set of the color. This is the main challenge. If problem is solved it can maintain the naturalness of the recolored text/image. After this modification, we can use the limit offset to modify many colors that will result in replacement of color with more …show more content…
This can be solved by simplifying the constraint system. Moreover, by using hierarchical constraint system and one- way constraint system can increase the speed of the system.
6. Semantic Approach
These recoloring tools should grasp the usage of the user and attempt to find the color for colorblind user. There are many attempts to improve the Web accessibility [7, 16] for different disabled user. Semantic approach can help users in providing semantic mechanism to self-describe the intention of the users’ color usage.
FUTURE