Work

Deaf, Hard of Hearing, and Hearing Perspectives on Using Automatic Speech Recognition in Conversation

Year: 2017

Type: conference-paper

Abstract: This experience report describes the accessibility challenges in using the top seven most popular Automatic Speech Recognition (ASR) applications on personal devices for commands and group conversation, by five deaf, hard of hearing and hearing participants, including the authors. The report discusses the most common use cases, their challenges, and best practices plus pitfalls to avoid in using personal devices with ASR for commands or conversation.

Source: International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS)

DOI: 10.1145/3132525.3134781

Authors: Abraham Glasser, Kesavan Kushalnagar, Raja Kushalnagar

Institution: Rochester Institute of Technology

Language: English

Topic: Assistive Technology in Communication and Mobility

Subfield: Occupational Therapy

Field: Health Professions

Domain: Health Sciences

SDGs: Reduced inequalities, Good health and well-being

Open Access status: green

Funder: National Science Foundation