[Access Lunch] Thursday 11/14: Hernisa Kacorri on " Teachable Machines in Accessibility"

[Cole Gleason]

Reminder, this is now!

On Wed, Nov 13, 2019 at 7:42 PM Cole Gleason <cgleason at cs.cmu.edu> wrote:

> Hi everyone!
>
> Join us tomorrow for a talk from Dr. Hernisa Kacorri from University of
> Maryland, College Park!
>
> Date: Thursday, November 14, 2019
> Time: 12:00PM- 1:00PM
> Room: NSH 1109
>
> *Also, Dr. Kacorri has time to meet tomorrow afternoon after the talk. If
> you would like to meet with her, please let me know and I will schedule it!*
>
> Title: Teachable Machines in Accessibility
> Abstract: How can accessibility research leverage advances in machine
> learning and artificial intelligence with limited data? We argue that
> teachable machines can empower accessibility research.  By explicitly
> providing a few pertinent training examples, we can enable individuals with
> disabilities to attune machine learning systems to their idiosyncratic
> characteristics and environment. We demonstrate this concept with a
> concrete example: teachable object recognizers trained by and for blind
> users. Further, we discuss open challenges in designing and building
> teachable machines: perception of machine training by non-experts and
> inaccessibility of the labeling process.
>
> [image: image.png]
>
> About the speaker: Hernisa Kacorri is an Assistant Professor in the
> College of Information Studies and holds an affiliate appointment in the
> Computer Science and the Human-Computer Interaction Lab at University of
> Maryland, College Park. She received her Ph.D. in Computer Science in 2016
> from The Graduate Center at City University of New York, and has conducted
> research at National and Kapodistrian University of Athens, IBM
> Research-Tokyo, Lawrence Berkeley National Lab, and Carnegie Mellon
> University. Her research focuses on data-driven technologies that address
> human challenges, faced due to health or disability, with an emphasis on
> rigorous, user-based experimental methodologies to assess impact. Hernisa
> is a recipient of a Mina Rees Dissertation Fellowship in the Sciences, an
> ACM ASSETS best paper finalist and a best paper award, and a CHI honorable
> mention. She has been recognized by the Rising Stars in EECS program of
> CMU/MIT. Her work is supported by NSF and NIDILRR.
>
>
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