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Podcast: Machine Learning and Ability-Based Design
Corinne Weible2020-07-12T18:18:19+00:00Published: February 20th, 2018|Tags: Podcast, Video|
Future of Work Podcast, Episode 5.
Researcher Martez Mott is working to create new touch interaction techniques for mobile technologies using machine-based learning. In this episode, he discusses his work at the University of Washington’s Mobile + Accessible Design Lab, and how this emerging technology will improve workplace technology with touch screens by allowing users with a range of motor abilities to customize their touch techniques.
This podcast is developed in partnership with Workology.com as part of PEAT’s Future of Work series, which works to start conversations around how emerging workplace technology trends are impacting people with disabilities.
https://www.peatworks.org/wp-content/uploads/2020/07/Podcast-Machine-Learning-and-Ability-Based-Design-Partnership-on-Employment-Accessible-Technology-PEAT-mp3.mp3
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Transcript
Intro: [00:00:01] Welcome to the Workology podcast, a podcast for the disruptive workplace leader. Join host Jessica Miller-Merrell founder of Workology.com as she sits down and gets to the bottom of trends tools and case studies for the business leader. HR and recruiting professional who is tired of the status quo. Now, here’s Jessica with this episode of Workology.
Jessica: [00:00:25] Everywhere I turn there seems to be conversations in the human resources and recruiting industry centered around artificial intelligence. It is truly permeating our landscape and myself along with PEAT found some pretty [...]