EXPLORING THE ACCESSIBILITY OF HOME-BASED, VOICE-CONTROLLED INTELLIGENT PERSONAL ASSISTANTS

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dc.contributor.advisorLazar, Amandaen_US
dc.contributor.authorPradhan, Alishaen_US
dc.contributor.departmentLibrary & Information Servicesen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2018-07-17T06:23:45Z
dc.date.available2018-07-17T06:23:45Z
dc.date.issued2018en_US
dc.description.abstractFrom an accessibility perspective, home-based, voice-controlled intelligent personal assistants (IPAs) have the potential to greatly expand speech interaction beyond dictation and screenreader output. This research examines the accessibility of off-the-shelf IPAs (e.g., Amazon Echo) by conducting two exploratory studies. To explore the use of IPAs by people with disabilities, we analyzed 346 Amazon Echo reviews mentioning users with disabilities, followed by interviews with 16 visually impaired IPA users. Although some accessibility challenges exist, individuals with a range of disabilities are using IPAs, including unexpected uses such as speech therapy and memory aids. The second study involved a three-week deployment of Echo Dot, a popular IPA, with five older adults who use technology infrequently. Findings indicate preferences for using IPAs over traditional computing devices. We identify design implications to improve IPAs for this population. Both studies highlight issues of discoverability and the need for feature-rich voice-based applications. The findings of this research can inform future work on accessible voice-based IPAs.en_US
dc.identifierhttps://doi.org/10.13016/M2MW28J0F
dc.identifier.urihttp://hdl.handle.net/1903/21023
dc.language.isoenen_US
dc.subject.pqcontrolledDesignen_US
dc.subject.pqcontrolledInformation scienceen_US
dc.subject.pqcontrolledSocial researchen_US
dc.subject.pquncontrolledAccessibilityen_US
dc.subject.pquncontrolledAmazon Echoen_US
dc.subject.pquncontrolledconversational interfacesen_US
dc.subject.pquncontrolleddisabilityen_US
dc.subject.pquncontrolledintelligent personal assistantsen_US
dc.subject.pquncontrolledspeechen_US
dc.titleEXPLORING THE ACCESSIBILITY OF HOME-BASED, VOICE-CONTROLLED INTELLIGENT PERSONAL ASSISTANTSen_US
dc.typeThesisen_US

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