There are three major challenges to universal usability: • Supporting a broad range of hardware, software, and network access. With the advance of ICT, users' hardware, software, and network configurations are changing. The variety of ICT products creates complex systems with a broad range of hybridity. For example, would a software product be usable to users running
Windows XP on a
Centrino laptop with broadband Internet access and to those who have
Windows 98 on a
Pentium II desktop with 56K
dial-up? • Accommodating individual differences among users, such as age, gender, abilities, literacy, culture, income, and so forth. Individual differences can be roughly categorized into three types: physical, cognitive, and socio-cultural. In the field of
HCI, research attempts have been centering on accommodating physical and cognitive differences by isolating various specific factors such as spatial ability, speed of movement, eye–hand coordination, and so forth. However, previous literature has demonstrated that individual differences are difficult to pin down and difficult to generalize from one context to another. • Bridging the knowledge gap between what users know and what they need to know about a specific system. Two issues need to be resolved: (i) Building a user model to access individual user's background knowledge on a specific system; (ii) Integrating the mechanism of evolutionary learning. Meeting technical accessibility standards does not guarantee usability for all users. For example
WCAG provides an essential foundation for digital accessibility, yet it does not specifically require dark mode support, despite dark mode being essential rather than preferential for many blind, low-vision, and neurodivergent users who experience fatigue, headaches, and task abandonment without it. This illustrates how compliance-focused approaches can overlook features that significantly impact real-world usability. Research has demonstrated that compliance with accessibility guidelines alone is insufficient to ensure universal usability. A controlled study found that only 27% of accessibility problems identified through usability testing with disabled users could have been detected using
Web Content Accessibility Guidelines guidelines, concluding that "the application of WCAG alone is not sufficient to guarantee website accessibility." The
Journal of Usability Studies similarly notes that "while manufacturers often say things like 'we tested with an automated software tool, so we're accessible,' the reality is that nothing replaces real-world evaluations involving people with disabilities. The more inclusive the design and evaluation, the more universally usable a product or interface becomes. Guidelines alone do not lead to universally usable products. == Electronic curb-cuts ==