Towards improving the e-learning experience for deaf students: e-LUX
Borgia, Fabrizio, Bianchini, Claudia S., de Marsico, Maria
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Sep-3-2025
- Country:
- Asia > Middle East
- Republic of Türkiye > Istanbul Province > Istanbul (0.04)
- Europe
- France
- Occitanie > Haute-Garonne
- Toulouse (0.05)
- Île-de-France > Paris
- Paris (0.04)
- Occitanie > Haute-Garonne
- Germany (0.04)
- Italy > Lazio
- Rome (0.04)
- Middle East > Republic of Türkiye
- Istanbul Province > Istanbul (0.04)
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- Tyne and Wear > Newcastle (0.04)
- France
- North America > United States
- California
- San Diego County > La Jolla (0.04)
- San Francisco County > San Francisco (0.14)
- Illinois > Cook County
- Chicago (0.04)
- New York > New York County
- New York City (0.04)
- California
- Asia > Middle East
- Genre:
- Research Report (0.40)
- Industry:
- Technology: