W3C Workshop Report: Inclusive Design for Immersive Web Standards
6 February 2020 | Archive
W3C is pleased to announce a report from the W3C Workshop on Inclusive Design for Immersive Web Standards, held on 5-6 November 2019 in Seattle, WA, USA.
This report contains a brief summary and collects highlights from the
individual sessions, with links to the presentation slides. Workshop participants learned from existing approaches that have been
taken in making XR experiences (on and off the Web) accessible before
looking at what lessons could be derived from these existing research
and experiments in the context of the Immersive Web architecture.
These lessons brought forward four aspects of accessible XR experiences:
visual interactions, motricity considerations, audio aspects and
assistive technologies adaptation.
The relevant follow-up work in W3C spans across at least 6
standardization Working Groups and 6 pre-standardization and incubation
Community Groups, and also intersects with at least 3 Khronos Working
Groups – pointing toward the need for a strong coordination effort to
ensure systematic and consistent progress for the Web platform. We
propose to host this coordination in the Inclusive Design for the
Immersive Web Community Group via a dedicated github repository.
We thank our host, Pluto VR, Maveron, We Make Reality, Virtual World
Society and Seattle Immersive Technology Association, our sponsors,
Google, Twitch and Samsung Internet, the Program Committee, and all
participants for making this event possible.
Call for Review: Web of Things Architecture and Thing Description are W3C Proposed Recommendations
30 January 2020 | Archive
The Web of Things Working Group has published two Proposed Recommendations:
WoT Architecture describes a formal model and a common representation for a WoT Thing Description. A Thing Description describes the metadata and interfaces of Things, where a Thing is an abstraction of a physical or virtual entity that provides interactions to and participates in the Web of Things. Thing Descriptions provide a set of interactions based on a small vocabulary that makes it possible both to integrate diverse devices and to allow diverse applications to interoperate.
Comments are welcome through 27 February 2020.
Updated Candidate Recommendation: Timed Text Markup Language 2 (TTML2) (2nd Edition)
28 January 2020 | Archive
The Timed Text (TT) Working Group invites implementation of its updated Candidate Recommendation of Timed Text Markup Language 2 (TTML2) (2nd Edition). This document specifies the Second Edition of the Timed Text Markup Language (TTML), Version 2, also known as TTML2 (2e), in terms of a vocabulary and semantics thereof. The Timed Text Markup Language is a content type that represents timed text media for the purpose of interchange among authoring systems. Timed text is textual information that is intrinsically or extrinsically associated with timing information. It is intended to be used for the purpose of transcoding or exchanging timed text information among legacy distribution content formats presently in use for subtitling and captioning functions.
Comments are welcome by 25 February 2020.
Upcoming: W3C Workshop on Web & Machine Learning
14 January 2020 | Archive
W3C announced today a Workshop on Web & Machine Learning, 24-25 March 2020, in Berlin, Germany. The event is hosted by Microsoft.
The primary goal of the workshop is to bring together providers of Machine Learning tools and frameworks with Web platform practitioners to enrich the Open Web Platform with better foundations for machine learning.
The secondary goals of the workshop are as follows:
- Understand how machine learning fits into the Web technology stack,
- Understand how browser-based machine learning fits into the machine learning ecosystem,
- Explore the impact of machine learning technologies on Web browsers and Web applications,
- Evaluate the opportunities for standardization around machine learning APIs and formats.
Expected topics of discussion include:
- Dedicated machine learning APIs for browsers as explored by the Machine Learning for the Web Community Group
- Integration of browser-provided data sources in machine learning workflows
- Layering and interoperability of machine learning APIs with other computing APIs (e.g. WebGPU, WebAssembly)
- Domain-specific machine learning APIs
- Interchange format for machine learning models on the Web
- Client- and cloud-based machine learning interactions
- On-device machine learning training in browsers
- Risks and benefits of browser-based machine learning on privacy, security, accessibility
- Using machine learning primitives to help improve accessibility of Web pages and applications
- Machine learning frameworks for the Web
- Machine learning hardware accelerators
Attendance is free for all invited participants and is open to the public, whether or not W3C members. For more information on the workshop, please see the workshop details and submission instructions.
Registration is available online due by 21 February 2020.