Skip to main content

Understanding and Designing for Deaf or Hard of Hearing Drivers on Uber

May 23, 2019 / Global

Share

Abstract

We used content analysis of in-app driver survey responses, customer support tickets, and tweets, and face-to-face interviews of DHH Uber drivers to better understand the DHH driver experience. Here we describe challenges DHH drivers experience and how they address those difficulties via Uber’s accessibility features and their own workarounds. We also identify and discuss design and product opportunities to improve the DHH driver experience on Uber.

Authors

Sooyeon Lee, Bjorn Hubert-Wallander, Molly Stevens, John M. Carroll

Conference

CHI 2019

Full Paper

‘Understanding and Designing for Deaf or Hard of Hearing Drivers on Uber’ (PDF)

Category:

Related articles

DragonCrawl: Generative AI for High-Quality Mobile Testing

April 23 / Global

Ensuring Precision and Integrity: A Deep Dive into Uber’s Accounting Data Testing Strategies

April 18 / Global

Migrating a Trillion Entries of Uber’s Ledger Data from DynamoDB to LedgerStore

April 11 / Global

Interested in joining Uber Eng?

Engineering, Backend, Data / ML

How LedgerStore Supports Trillions of Indexes at Uber

April 4 / Global

Engineering, AI, Data / ML

Scaling AI/ML Infrastructure at Uber

March 28 / Global

Engineering, Data / ML

Model Excellence Scores: A Framework for Enhancing the Quality of Machine Learning Systems at Scale

March 21 / Global

View more stories

Sign up to drive

Sign up to ride