Deaf people are more heavily a ffected by the digital divide than many would expect. Moreover, most a ccessibility guidelines address ing their needs just deal with captioning and audio-content transcriptio n. However, this approach to the problem does not consider that deaf people have big troubles with vocal languages, even in their written form. At present, only a few organizations, like W3C, produced guidelines deal ing with one of their most distinctive expressions: Sign Language (SL). SL is, in fact, the visual -gestural language used by many deaf people to communicate with each other. The present work aims at supporting e-learning user experience (e - LUX) for these speci fic users by enhancing the accessibility of content and container services. In particular, we propose preliminary solutions to tailor activities which can be more fruitful when performed in one's own " native" language, which for most deaf people, especially younger ones, is represen ted by national SL.

I visited Beijing last week and learned a great deal from Microsoft's AI //innovate event in China - our 2nd largest developer base for Cognitive Services on Azure. The most heart-felt demo was Harry Shum could communicate with an almost deaf student of Nanjing University of Technology. Using two mobile phones with Microsoft Translator, the deaf student not only had no problem to communicate with Harry but also removed his language barriers between Chinese and English! I started speech recognition research as a graduate student in Beijing's Tsinghua University more than 35 years ago. My graduate student dream was to help people communicate better without language barriers.