Title | ||
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Deaf Users’ Preferences Among Wake-Up Approaches during Sign-Language Interaction with Personal Assistant Devices |
Abstract | ||
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BSTRACT Personal-assistant devices like Amazon Alexa and Google Assistant are increasingly popular among consumers. Users activate these systems through some type of wake-up approach, e.g. using a wake-word “Alexa” or “Ok, Google.” Voice-based interaction poses accessibility barriers for Deaf and Hard of Hearing (DHH) users, and technologies for sign-language recognition are improving. We therefore explore wake-up interactions for DHH users for potential personal assistant devices that understand sign language commands. Interviews with DHH users (N=21) motivated the design of six wake-up approaches, and we produced video prototypes demonstrating each using a Wizard-of-Oz approach. These prototypes were evaluated in a follow-up study in which DHH users (N=12) identified factors that influenced their preference among approaches. This study contributes empirical knowledge about DHH ASL signers’ preferences and concerns with wake-up interaction, thereby providing guidance for future designers of these systems. |
Year | DOI | Venue |
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2021 | 10.1145/3411763.3451592 | Conference on Human Factors in Computing Systems |
Keywords | DocType | Citations |
Deaf and Hard of Hearing, Accessibility, Sign Language, Personal Assistants | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vaishnavi Mande | 1 | 0 | 1.35 |
Abraham Glasser | 2 | 5 | 5.35 |
Becca Dingman | 3 | 1 | 3.07 |
Matt Huenerfauth | 4 | 428 | 51.83 |