WEBSITE INTERFACE DESIGN EVALUATION SYSTEM FOR COLOR-BLIND PERSON BASED ON EDGE DETECTION
Color blindness is a visual impairment that results in the affected individuals being unable to perceive certain colors. The estimated number of color-blind individuals reaches 8.5% of the total human population. With the advancement of technology presenting various digital content across various...
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Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/77855 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Color blindness is a visual impairment that results in the affected individuals being
unable to perceive certain colors. The estimated number of color-blind individuals
reaches 8.5% of the total human population. With the advancement of technology
presenting various digital content across various media, especially websites, it
undoubtedly affects a significant number of technology users who face difficulties
in accessing such content. One alternative solution is to create an interface
specifically designed for individuals with color blindness. However, this poses its
own challenges, as designers, who generally have normal vision, may not be
familiar with the perception of color-blind individuals, and also there is no metric
to assess whether an interface is perceivable by individuals with color blindness or
not. In this final project, an evaluation system has been attempted to be designed,
which allows designers to understand the visual perception of color-blind
individuals and provides an assessment to determine the suitability of an interface
design for color-blind individuals. The interface evaluation method is based on edge
detection algorithms and is considered a novel proposal. Therefore, the testing
conducted still focuses on arguments demonstrating the advantages of the proposed
method. Even though it is limited to an argument, the test results indicate that a
evaluation system has been successfully implemented that can display the
differences in visual perception between individuals with normal vision and color-
blind individuals, while providing edge detection-based evaluations with open
opportunities for further development or testing. |
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