Kevin M. Storer
Dr. Kevin M. Storer is a Developer Experience Researcher at Google, where he leads research for Google Cloud Platform's DevOps Product Suite and serves as qualitative research lead for the DevOps Research and Assessment (DORA) team's annual State of DevOps Report. As an engineer-turned-anthropologist, Kevin combines rigorous training in ethnographic research methods and professional experience in software development to provide rich and actionable insight into the needs and behaviors of enterprise development teams. In addition to his work on Google Cloud, Kevin's research has informed strategic decisions for Firebase, the Go programming language, and Google Assistant. Kevin has published research in leading scientific venues on the topics of Human-Centered Programming, Artificial Intelligence, Embedded Systems, Ubiquitous Computing, and Interaction Design. Kevin received his Ph.D. in Informatics from The University of California, Irvine in 2021.
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"It's Just Everything Outside of the IDE that's the Problem": Information Seeking by Software Developers with Visual Impairments
ACM CHI Conference on Human Factors in Computing Systems(2021)
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Many efforts to increase accessibility in coding for developers with visual impairments (DWVI) have focused on supporting interactions with interactive development environments and source code. However, in order to understand how to appropriately modify and write source code, developers must seek and synthesize information from a variety of disparate and highly technical sources. DWVI might benefit from technological support in this process. But, it is unclear what accessibility issues arise in technical information sources, whether accessibility impacts strategies for seeking technical information, or how best to support DWVI in this process. We conducted observations and interviews with twelve DWVI, about their information seeking behaviors. We found that, DWVI seek information in many of the same sources as their sighted peers, and the accessibility issues identified in technical information sources were similar to those in nontechnical sources. Yet, despite these similarities, accessibility considerations impacted information seeking in highly nuanced ways.
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A growing body of evidence suggests Voice Assistants (VAs) are highly valued by people with vision impairments (PWVI) and much less so by sighted users. Yet, many are deployed in homes where both PWVI and sighted family members reside. Researchers have yet to study whether VA use and perceived benefits are affected in settings where one person has a visual impairment and others do not. We
conducted six in-depth interviews with partners to understand patterns of domestic VA use in mixed-visual-ability families. Although PWVI were more motivated to acquire VAs, used them more frequently, and learned more proactively about their features, partners with vision identified similar benefits and disadvantages of having VAs in their home. We found that the universal usability of VAs both equalizes experience across abilities and presents complex tradeoffs for families—regarding interpersonal relationships, domestic labor, and physical safety—which are weighed against accessibility benefits for PWVI and complicate the decision to fully integrate VAs in the home.
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