Vaishnavi Mande, Abraham Glasser, Becca Dingman, Matt Huenerfauth
{"title":"Deaf Users’ Preferences Among Wake-Up Approaches during Sign-Language Interaction with Personal Assistant Devices","authors":"Vaishnavi Mande, Abraham Glasser, Becca Dingman, Matt Huenerfauth","doi":"10.1145/3411763.3451592","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":265192,"journal":{"name":"Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3411763.3451592","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
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.