- Karl Groves, Tenon
- Length of Session: 1-hr
- Format: Lecture
- Expertise Level: Beginner
- Type of session: General Conference
Everyone agrees the best approach to accessibility issues is to avoid them in the first place. What if we could predict problems before they happen? Tenon wants to find out.
Everyone agrees the best approach to accessibility issues is to avoid them in the first place. What if we could predict problems before they happen? Tenon wants to find out. Using a variety of data sources, it is possible to weigh how accessible a site is while also identifying which technologies it uses. With such approaches, Tenon is analyzing the accessibility of the Web and we’re using that data to correlate each technology to its respective error data. The aggregated data can be used to determine the error rates, error densities, and categories of errors. The use of largescale data gathering will provide the opportunity for the impact of implementation differences from being a barrier to effective analysis. The data that we gathered in this process confirms how pervasive accessibility problems are on the web. It can also show risk patterns that can help organizations learn about potential accessibility problems related to specific technologies before they adopt those technologies.
- There is a strong correlation between automatic testing and manual testing
- Testing early has lasting benefits
- It may be possible to predict a system's accessibility before even testing it.
Accessible Educational Materials, Uncategorized, Web/Media Access
An unstoppable force for change and thought-leader in an industry regarded for saying 'No,' Karl would rather lead by example in saying 'Yes, and here's how...' He seeks to offer solutions to complex problems relating to universal usability. He believes that together we can meet both our goals: your business goals and his goals to lead the way in accessible user experiences. Karl has over a decade of experience in doing IT consulting for the biggest companies in the world and biggest agencies in the U.S. government. Widely regarded as a pragmatic solution-finder, his work is cited in nearly a dozen books and used on curricula in Human-Computer Interaction across the globe. He leads by doing, teaches from experience, and succeeds by facilitating others' success. When others say, 'That can't be done,' Karl shows them how.