Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems 2019
DOI: 10.1145/3290605.3300759
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Understanding and Designing for Deaf or Hard of Hearing Drivers on Uber

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. CCS CONCEPTS • Human-centered computing → Empirical studies i… Show more

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Cited by 7 publications
(2 citation statements)
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“…Recent work at CHI [49] and CSCW [74] has continued to explore how people with disabilities collaborate with their coworkers or clients, but there remain a number of contexts in which we do not have a robust understanding of the collaborative technologies used in mixed-ability workplaces.…”
Section: Challenges and Opportunities For Mixed-ability Workplacesmentioning
confidence: 99%
“…Recent work at CHI [49] and CSCW [74] has continued to explore how people with disabilities collaborate with their coworkers or clients, but there remain a number of contexts in which we do not have a robust understanding of the collaborative technologies used in mixed-ability workplaces.…”
Section: Challenges and Opportunities For Mixed-ability Workplacesmentioning
confidence: 99%
“…Charlton (2008) states that verbal processing of conversation results in decreased explicit @ processing which in turn results in longer reaction time. The demands of each language process can vary depending on the ability, DHH individuals utilize diverse communication methods including sign language interpreters, caption writers, instants messaging, pe-and-paper writing, emails, hand gestures and hearing aids (Lee et al, 2019).…”
Section: Introductionmentioning
confidence: 99%