Web4All: Web Accessibility and Usability at the University of Southampton

"Web 4 All" promotes digital inclusion at the University of Southampton through a process set up to deliver web products that are accessible, usable and enjoyable to use.

Digital accessibility challenges: the impact of locality, usability and technology

Abstract: It is estimated that 1 in 5 will, at some point in their lives, experience a long-term illness or disability that will impact their day to day lives. Access to digital information and technologies can be life changing and a necessity to fully participate in education, work and society. Specialist assistive technologies, such as screen readers, have been available for many years and are now built-into operating systems and devices. In addition, web accessibility standards have been compiled and published since the advent of the World Wide Web over two decades ago. However, internet use by people with disabilities continues to lag significantly behind those with no disability and use of assistive technologies remains lower than should be the case with tools often abandoned. In this seminar we will talk about our work to identify digital accessibility challenges; the barriers experienced by those with disabilities and how computer scientists can play a part in removing obstacles to access and ease of use. We will discuss some of our projects focussing on: • Development of assistive technologies for niche groups of users, • improving accessibility standards to cover a wider range of disabilities, • creating accessibility training resources for developers and stakeholders • embedding accessibility practice within development projects.

Bias in the Social Web

Abstract A frequent assumption in Social Media is that its open nature leads to a representative view of the world. In this talk we want to consider bias occurring in the Social Web. We will consider a case study of liquid feedback, a direct democracy platform of the German pirate party as well as models of (non-)discriminating systems. As a conclusion of this talk we stipulate the need of Social Media systems to bias their working according to social norms and to publish the bias they introduce. Speaker Biography: Prof Steffen Staab Steffen studied in Erlangen (Germany), Philadelphia (USA) and Freiburg (Germany) computer science and computational linguistics. Afterwards he worked as researcher at Uni. Stuttgart/Fraunhofer and Univ. Karlsruhe, before he became professor in Koblenz (Germany). Since March 2015 he also holds a chair for Web and Computer Science at Univ. of Southampton sharing his time between here and Koblenz. In his research career he has managed to avoid almost all good advice that he now gives to his team members. Such advise includes focusing on research (vs. company) or concentrating on only one or two research areas (vs. considering ontologies, semantic web, social web, data engineering, text mining, peer-to-peer, multimedia, HCI, services, software modelling and programming and some more). Though, actually, improving how we understand and use text and data is a good common denominator for a lot of Steffen's professional activities.