It's time for the bi-weekly notes from the Internet Research and Future Services section.
The future iteration of what an UI design for the Highlights production tool can be.
Curiously, the distribution of work between the Content, Data, Devices and Discovery teams roughly resembled the Discover, Define, Design and Deploy design framework over the last two weeks. The framework (without "Deploy" part) is neatly described on the .
Discover
To iterate on the Highlights project, the Content team set up a test to determine how the important moments picked by the Highlights algorithm match the moments that the audience considers important.
The team chose to use the live FA Cup Final match played on Saturday 17th May between Arsenal and Hull City. The extracted video features and audio features were classified by a machine learning algorithm in terms of pace and mood, which resulted in a total of 9 highlights being detected during the match.
A questionnaire was then used to gather feedback on the interestingness of the Highlights that were selected by the algorithm.
Define
Chris, Michael, and Sean went to the latest meeting of the , which was held at the offices of in Geneva. The goal of the meeting was to review remaining open questions about the specification, as well as plans for our demonstration system for in September.
Design
Building on from our sketches and wireframes, the Content team also fleshed out a more robust user interface, which succeeds the MVP and offers scalability. The new interface also uses interaction patterns based on IRFS UI kit and GEL components. The plan for June is to utilise it to gather more feedback that will inform more granular iterations.
Deploy
The Data team deployed the newest version of COMMA to a test environment. The version supports operation in more environments for private cloud usage and can be loaded with content directly from the web and ±«Óãtv Redux.
Share
Andrew N. and Dan N. have been at the conference, from low-fi prototypes with postcards and stickers to a system that is based on readily-available hardware and open-source software.
Elsewhere
- The New York Times R&D Lab launched a beta of - a simple reading list for the links your friends are currently sharing in your Twitter feed
- Dive into the thorough reading list