Information Studies Theses and Dissertations
Permanent URI for this collectionhttp://hdl.handle.net/1903/2780
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Item TRANSITIONING VISUALLY IMPAIRED USERS TO UTILIZE ACCESSIBILITY TECHNOLOGY(2024) Jo, Hyejin; Reitz, Galina; Library & Information Services; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)In a world increasingly driven by visual information, this research develops the Transition Experience Interface (TEI), dedicated to supporting individuals adapting to visual impairments with advanced accessibility technologies. TEI features a user-centric design with a mobile user interface that includes tutorials, updates on new features, a voice command guide, and a progress dashboard. These components aim to reduce dependency on visual cues, enhancing digital inclusivity and promoting independence by encouraging the use of built-in accessibility features on smartphones. TEI educates users on their devices’ capabilities and fosters habitual use of these features, preparing them to rely less on vision and more on voice commands and other settings. This proactive approach helps users operate their smartphones confidently and independently as their visual function changes, bridging the gap between traditional tools and user needs, and highlighting the potential of inclusive design.Item EXPLORING THE ACCESSIBILITY OF HOME-BASED, VOICE-CONTROLLED INTELLIGENT PERSONAL ASSISTANTS(2018) Pradhan, Alisha; Lazar, Amanda; Library & Information Services; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)From 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.