Possible Features:
Screen caption, (ML applications do not seem to )- Summarizing texts, (Summly, Google Reader), https://phet.colorado.edu/en/accessibility/prototypes
- Simplifying texts
- data to audio (ex. bar chart to audio), https://build.fluidproject.org/chartAuthoring/demos/
- collaborative (different impairments using content together)
- user-generated fixes (multidirectional)
Goal: Connecting learners with best-matched resources
Possible Features:
- Provide feedback (what went wrong? what went right?)
- State preference, get the resource, reflect (feedback) (morphic, discovery cat, the first discovery tool, global access)
- Automatic labelling of metadata for resources (language, caption, similar resources, reading level)
Talk to joseph for preferences a learner might want to express (global access)
Design Meeting
- Wire framework: https://www.figma.com/file/0lcLol3X5MmOXackT2YbHJ/WeCount-website?node-id=0%3A1
- Including ARIA and semantic markup for accessibility
We Count Funding
- Need to hire a designer (will be setting up co-design sessions) position has yet to be posted
- Funding will be retracted by end of March if not used
- Possible uses of funding: Computing resources, co-design session, data science MOOC,tactile and haptic devices, and data manifestation devices