Designing Technology for Low Literacy Individuals
Details
In the U.S., over 30 million people cannot read beyond very basic text (such as recipes or driving directions). However, most AI systems are geared toward individuals with high literacy skills. Two questions arise from this:
- Is this a divide worth tackling?
- Can we rely on the same one-size-fits-all approaches that large language models (LLMs) provide?
This talk focuses on AI interfaces for individuals with low literacy. In particular, it presents one we built for breast cancer survivorship education, which we tested with a few users to gather first impressions.
We are quickly realizing that low-literacy individuals are not a monolith. Perhaps we don’t need a one-size-fits-all solution, but rather a more nuanced approach—one that leverages large language models as well as cultural models.
Agenda:
(Times are Central Daylight Time)
6:00pm - Brief intros
6:05pm - Talk by Dr. Francisco Iacobelli
6:45 pm – Q&A
7:00 pm - end
Note: You must register with Zoom for the remote broadcast, registering in Meetup does not give you access to the Zoom meeting.
