The 15th Web for All Conference Lyon, France 2018

W4A is happy to announce the IBM People with Disabilities Student Award. The award reimburses the attendance costs for several students with disabilities and introduces them to the community of W4A researchers and practitioners who are working to make Web, Mobile, and Wearable devices accessible for all.

This year the awardess are:

· Shantanu D. Ladkat, Savitribai Phule University, Pune, India

· Davide Mulfari, University of Pisa, Italy

Session 4: Paciello Group Web Accessibility Challenge - Presentation Session

This year the W4A/TPG Web Accessibility Challenge will involve two activities:

· A five to ten minute pitch presentation (Session 4)

· A five to ten minute lightning demo

Presentation Session:

During a 5-10 minute presentation, each Challenge entrant will “pitch” their solution to delegates and articulate the innovative aspects of their technology and how it advances accessibility and usability. Their presentation will define the accessibility issue their technology solves, and describe the innovations one can expect to see during the demonstration session that will follow.

There will be scheduled break following the Presentation Session.

Session 5: Paciello Group Web Accessibility Challenge - Demonstration

Demonstration Session

To ensure the session can commence on schedule, please return from the break on time. Delegates will then be given a voting ballot paper, split into groups and assigned a station where they will start the demonstration session. When the bell rings, the presenter at the station will do his or her 5-10 minute demo of the innovative aspect of their technology. The presenter may or may not allocate time for questions during the session.

After five minutes the bell will ring again, at which time your group will move on to the next demo. This continues until all groups have visited all the demos. “Timekeepers” will be present who will facilitate the rotation between demo stations.

Presenters




Multi-view Mouth Renderization for Assisting Lip-reading

Andrea Britto, Mattos Lima, Dario Augusto, Borges Oliveira, IBM Research, Brazil

Adaptable Maps for People with Autism

Claudia De Los Rios Perez, David A. McMeekin, Marita Falkmer, Tele Tan, Curtin University, Australia

WebSight: Using AR and WebGL Shaders to Assist the Visually Impaired

Dan Ruta, Louis Jordan, Tom James Fox, University of Portsmouth, UK

DysHelper – The Dyslexia Assistive User Experience

Tereza Pařilová, Romana Remšíková, Filip Mrvan, Masaryk University, Czech Republic

Accessify: An ML Powered Application to Automatically Provide Image Descriptions on Website

Shivam Sing, Anurag Bhandari, Nishith Pathak , Accenture, India

Parallel DOM Architecture for Interactive Simulations

Taliesin Smith, Jesse Greenberg, Sam Reid, Emily Moore, University of Colorado, Boulder

Session 6: W4A Google Doctoral Consortium

A TensorFlow-based Assistive Technology System for Users with Visual Impairments

Davide Mulfari, University of Pisa, Italy

The paper investigates the potential benefits of bringing together Internet of Things and deep learning techniques toward the development of assistive technologies for users with visual disabilities. We propose a computer vision system designed to classify objects in the user’s surroundings and to provide its user with an audio description of the detected things. The solution exploits a wearable vision sensor, which is mounted on the user’s glasses and controlled by a single board computer running Google TensorFlow framework. With this software layer, the aid may support users in specific environments, e.g., museums. Finally, experiments show promising results in the context of image classification.
Adaptable User Interfaces for People with Autism: A Transportation Example

Claudio De Los Rios Perez, Curtin University Australia

Many studies support the idea to use computer technologies to facilitate socialization and social inclusion for people with autism, but in reality many websites and mobile applications are lacking in accessibility features. This research aims to develop an accessibility framework based on the compilation of Web Accessibility standards, semantic web technologies (i.e. HTML5, CSS, Ontologies, RDFa) and evidence-based best practices and recommendations for user interface design for people with autism. This adaptation framework will be illustrated using a transportation use case example.

Session 7: User Interface Design