Information Studies Theses and Dissertations
Permanent URI for this collectionhttp://hdl.handle.net/1903/2780
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Item A MORE-THAN-HUMAN PERSPECTIVE ON OLDER ADULTS’ USE OF AND PARTICIPATION IN DESIGN OF EMERGING TECHNOLOGIES(2022) Pradhan, Alisha; Lazar, Amanda; Library & Information Services; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Till date, research on aging in HCI has largely adopted human-centered approaches, such as user-centered and participatory design. However, recent research is beginning to question this “humanistic” focus in aging. Through this dissertation, I provide a case of adopting posthumanist entanglement perspective to understand the ‘more-than-human’ aspects of aging. Posthumanist entanglement perspectives [71]—previously adopted by HCI researchers in different contexts varying from creative design to technical areas such as machine learning and neural networks—attunes to the agency of nonhuman world in addition to the human world to account for how humans and their socio-material worlds are entangled. In Study 1, I investigate older adults’ ontological perceptions with respect to a popular emerging technology to examine the phenomena of “ontological uncertainty” (here, ontologies refer to how things exist and what categories they belong to). Although some researchers adopting entanglement perspectives in HCI argue that ontological uncertainty is posed by emerging technologies such as AI, IoT [71], we lack an understanding of when this uncertainty emerges, and why this matters. Here, the first study of my dissertation focuses on older adults’ use of emerging AI-based voice assistants, and contributes by providing an empirical understanding of the different factors that contribute to ontological uncertainty (e.g., location in house, time, user’s desire for companionship), and provides recommendations for designing voice technologies with ontological categorization in mind. In the next two threads of my work, I attune to the agency of nonhuman entities and how they shape reality associated with older adults’ use of emerging technology (Study 2), and when older individuals engage in designing emerging technology (Study 3). My analysis from Study 2 reveals how nonhuman actors such as materials and norms play a role in shaping older adults’ preference and use of voice technologies. My findings also reveal the salient ways in which voice assistants play an active role in mediating relations between older adults and their larger social world. These mediations are shaping our social practices around what it means to live alone, to give company, or to give and receive care. Finally, my analysis from Study 3— which adopts a posthumanist perspective to understand older adults’ engagement in design workshops— reveals the nuanced ways in which designs materials (both expected and unexpected) act in relation to older adults: from facilitating creative brainstorming, to limiting creative brainstorming, to leading to clashing of ideas, and contributing to non-participation in the design activity. My findings also reveal how older adults went beyond focusing on just the technology idea to account for the physical objects or the environment associated with both technology use and non-use, thus bringing to attention that technology cannot be seen, used, or designed in isolation, and exists within specific configurations of actor-networks. Overall, my thesis contributes by providing insights on the new directions that HCI researchers working on aging can take in terms of: a) taking into account the ways in which the nonhuman entities act and hold them accountable for undesired realities, b) designing emerging technologies that support meaningful relationships between older adults and their world, and c) move beyond designing technology in isolation to instead purposefully situate older adults in designing meaningful configurations of human and nonhuman entities (including technology).Item From Oversharing to Sharenting: How Experts Govern Parents and Their Social Media Use(2021) Kumar, Priya; Vitak, Jessica; Library & Information Services; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)A newborn swaddled in a parent’s arms. A kindergartner posing on the first day of school. Such images, commonly found in family photo collections, now regularly appear on social media. At the same time, public discourse asks if—or sometimes asserts that—posting images online might put children’s privacy, dignity, and autonomy at risk. Prior research has documented the pressure, scrutiny, and judgment that parents, especially mothers, endure. It seems that parents’ use of social media is yet another cause for concern. How did this happen? This dissertation examines how power, manifesting as expertise, works through three fields of discourse to govern parents’ social media conduct. Grounding this project in post-structuralist epistemology, I study this question using the analytical technique of governmentality, which is a means of tracing how authorities intervene in the lives of individuals. First, I illustrate how a specific site of social media expertise, the once-popular blog STFU, Parents, constructs the problem of “oversharing” as a form of inappropriate social media use. Second, I explain, how news media expertise constructs the problem of “sharenting,” a portmanteau of the words “share” and “parenting,” as a form of risk to children. Third, I discern how academic expertise obliges parents to govern their own social media conduct by appealing to their subjectivity. In each field of discourse, I observe how expertise frames parents’ social media conduct as a matter of individual responsibility, even though much of what happens to information online lies outside individual control. I use this analysis to suggest future directions for research on social media and privacy that goes beyond the gendered public/private boundary and engages with the world as a site of entangled relations rather than individual entities.Item “IT’S TOO EXHAUSTING GOOGLING 50 THINGS!”: RECOMMENDATIONS FOR THE LOW-FIDELITY DESIGN OF A CROWDSOURCED HEALTH INFORMATION SYSTEM WITH LOCAL HEALTH-RELATED RESOURCES FOR INDIVIDUALS WHO HAVE CHRONIC HEALTH CONDITIONS(2020) Jindal, Gagan; St. Jean, Beth; Library & Information Services; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)Individuals who have chronic health conditions often encounter considerable barriers when trying to find out about local resources in their communities (e.g. libraries, senior centers, fitness classes, nutrition services, faith-based services, support groups, etc.) that can help them better manage their health. In this dissertation, I outline a series of three studies investigating the acceptability and optimal content and design of an online health information system to streamline this information-seeking process with a crowdsourced repository of information of local health resources for this population. I initially conducted 15 in-depth semi-structured interviews to assess the strategies used, and the challenges faced, by these individuals in their attempts to identify these types of local resources in their communities (Chapter 2). The evidence from this first study suggested the potential for the uptake of a novel online health information system that will rely on users to crowdsource and maintain an up-to-date repository of information on relevant local health resources. Based on the results of my first study, I conducted a second study using a card-sorting method to determine the system functions and features, as well as the types of information, individuals who have chronic health conditions felt they would need in this type of system to find a useful local resource and then determine if that local resource would be useful for them (Chapter 3). Based on the results of this card-sorting study, I developed a series of low-fidelity wireframes representing the system features and functions and types of content my study 2 participants wished to see in the proposed crowdsourced health information system (CHIS). I then further refined these low-fidelity wireframes drawing on the findings from my third study in which I garnered direct feedback on the initial wireframes from individuals who have chronic health conditions in a series of participatory design sessions, enabling me to finalize the design recommendations for the proposed CHIS (Chapter 4). Finally, I conclude (Chapter 5) with an overview of the overarching contribution of this research, illuminating a crucial unmet information need and proposing an actionable strategy to better meet this need. I also propose opportunities for future research to further improve the uptake of the proposed CHIS.Item Local Information Landscapes: Theory, Measures, and Evidence(2019) Lee, Myeong; Butler, Brian S; Geography/Library & Information Systems; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)To understand issues about information accessibility within communities, research studies have examined human, social, and technical factors by taking a socio-technical view. While this view provides a profound understanding of how people seek, use, and access information, this approach tends to overlook the impact of the larger structures of information landscapes that constantly shape people’s access to information. When it comes to local community settings where local information is embedded in diverse material entities such as urban places and technical infrastructures, the effect of information landscapes should be taken into account in addition to particular strategies for solving information-seeking issues. However, characterizing the information landscape of a local community at the community level is a non-trivial problem due to diverse contexts, users, and their interactions with each other. One way to conceptualize local information landscapes in a way that copes with the complexity of the interplay between information, contexts, and human factors is to focus on the materiality of information. By focusing on the material aspects of information, it becomes possible to understand how local information is provided to social entities and infrastructures and how it exists, forming structures at the community level. Through an extensive literature review, this paper develops a theory of local information landscapes (LIL Theory) to better conceptualize the community-level, material structure of local information. Specifically, the LIL theory adapts a concept of the virtual as an ontological view of the interplay between technical infrastructures, spaces, and people as a basis for assessing and explaining community-level structures of local information. By complementing existing theories such as information worlds and information grounds, this work provides a new perspective on how information deserts manifest as a material pre-condition of information inequality. Using this framework, an empirical study was conducted to examine the explicit effects of information deserts on other community characteristics. Specifically, the study aims to provide an initial assessment of LIL theory by examining how the fragmentation of local information, a form of information deserts, is related to important community characteristics such as socio-economic inequality, deprivation, and community engagement. Building upon previous work in sociology and political science, this study shows that the fragmentation of local information (1) is shaped by socio-economic deprivation/inequality that is confounded with ethnoracial heterogeneity, (2) the fragmentation of local information is highly correlated to people's community gatherings, (3) the fragmentation of local information moderates the effects of socio-economic inequality on cultural activity diversity, and (4) the fragmentation of local information mediates the relationship between socio-economic inequality and community engagement. By making use of three local event datasets over 20 months in 14 U.S. cities (about two million records) and over 3 months in 28 U.S. cities (about 620K records), respectively, this study develops computational frameworks to operationalize information deserts in a scalable way. This dissertation provides a theorization of community-level information inequality and computational models that support the quantitative examination of it. Further theorizations of the conceptual constructs and methodological improvements on measurements will benefit information policy-makers, local information system designers, and researchers who study local communities with conceptual models, vocabularies, and assessment frameworks.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.Item DATA SHARING ACROSS RESEARCH AND PUBLIC COMMUNITIES(2016) He, Yurong; Preece, Jennifer; History/Library & Information Systems; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)For several decades, the intensifying trend of researchers to believe that sharing research data is “good” has overshadowed the belief that sharing data is “bad.” However, sharing data is difficult even though an impressive effort has been made to solve data sharing issues within the research community, but relatively little is known about data sharing beyond the research community. This dissertation aims to address this gap by investigating how data are shared effectively across research and public communities. The practices of sharing data with both researchers and non-professionals in two comparative case studies, Encyclopedia of Life and CyberSEES, were examined by triangulating multiple qualitative data sources (i.e., artifacts, documentation, participant observation, and interviews). The two cases represent the creation of biodiversity data, the beginning of the data sharing process in a home repository, and the end of the data sharing process in an aggregator repository. Three research questions are asked in each case: • Who are the data providers? • Who are the data sharing mediators? • What are the data sharing processes? The findings reveal the data sharing contexts and processes across research and public communities. Data sharing contexts are reflected by the cross-level data providers and human mediators rooted in different groups, whereas data sharing processes are reflected by the dynamic and sustainable collaborative efforts made by different levels of human mediators with the support of technology mediators. This dissertation provides theoretical and practical contributions. Its findings refine and develop a new data sharing framework of knowledge infrastructure for different-level data sharing across different communities. Both human and technology infrastructure are made visible in the framework. The findings also provide insight for data sharing practitioners (i.e., data providers, data mediators, data managers, and data contributors) and information system developers and designers to better conduct and support open and sustainable data sharing across research and public communities.