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Title: Keeping a Low Profile?: Technology, Risk and Privacy among Undocumented Immigrants. (Best Paper Award at CHI 2018 - top 1%)
Undocumented immigrants in the United States face risks of discrimination, surveillance, and deportation. We investigate their technology use, risk perceptions, and protective strategies relating to their vulnerability. Through semi-structured interviews with Latinx undocumented immigrants, we find that while participants act to address offline threats, this vigilance does not translate to their online activities. Their technology use is shaped by needs and benefits rather than risk perceptions. While our participants are concerned about identity theft and privacy generally, and some raise concerns about online harassment, their understanding of online government surveillance risks is vague and met with resignation. We identify tensions among self-expression, group privacy, and self-censorship related to their immigration status, as well as strong trust in service providers. Our findings have implications for digital literacy education, privacy and security interfaces, and technology design in general. Even minor design decisions can substantially affect exposure risks and well-being for such vulnerable communities.
Tamy is a Ph.D. Candidate at the University of Michigan School of Information. Tamy’s research focuses on various challenges as data, archives and technology intersect with advancing human rights and protecting vulnerable communities in the U.S. and abroad. She has published in Archival Science, Statistics Politics and Policy, JSM, and CHI, as well as co-authored various reports with and for human rights practitioners. Prior to graduate school, Tamy was the Latin America Coordinator for the Human Rights Data Analysis Group.
Title: Support for Social and Cultural Capital Development in Real-time Ridesharing Services
Today’s transportation systems and technologies have the potential to transform the ways individuals acquire resources from their social networks and environments. However, it is unclear what types of resources can be acquired and how technology could support these efforts. We address this gap by investigating these questions in the domain of real-time ridesharing systems. We present insights from two qualitative studies: (1) a set of semi-structured interviews with 13 Uber drivers and (2) a set of semi-structured interviews with 13 Uber riders. Our results show that both drivers and riders acquired and benefited from informational, emotional and instrumental resources, as well as cultural exchanges via interactions with each other and with online platforms. We argue that these interactions could support the development of social and cultural capital. We discuss our findings in the context of labor and contribute design implications for in-car social and cultural experiences and for the ways technologies such as GPS and location-based services can support the additional emotional, social, and cultural labor that drivers provide to their riders.
Vaishnav is a first-year Ph.D. student at the University of Michigan - School of Information. His research interests lie at the intersection of Human-Computer Interaction and Accessibility. His current research examines the value of mainstream, non-assistive technology infrastructures for people with Vision Impairments and the subsequent role of design in bridging the gap between inaccessibility and accessibility. His past work examining aspects of the digital divide in Detroit and tech adoption in the Global South has appeared in CHI and ICTD. Vaishnav holds a Masters degree in Human-Computer Interaction from UMSI.
Please join us for these talks on April 17th @ 11:30 AM