Organizational Unit:
School of Interactive Computing

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Now showing 1 - 4 of 4
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    Information sharing in a nonprofit network
    (Georgia Institute of Technology, 2012-08-08) Stoll, Jennifer
    The civil rights and other social justice movements, such as the fight against child sex trafficking are examples of an informal context where information and communications technologies (ICTs) have been actively applied in hopes of furthering social justice causes. But while we see that informally organized, grassroots groups have shown considerable interest in ICTs, the actual effectiveness of ICTs for these groups remains largely unknown. This is particularly so when combining both the complexity of the technology landscape and large grassroots interorganizational networks. Given the enormous challenge of social justice issues, there are pressing needs that go beyond connecting more just individuals to help nonprofits. A central need of nonprofit social justice organizations is the connection and coordination of many different groups into interorganizational networks (or groups of groups). In my research, I conducted an in-depth qualitative study of such a network engaged in fighting child sex trafficking. In doing so, I have identified some of the challenges of information sharing and coordination in this context. I gained insight into their information sharing needs and practices for connecting within an interorganizational network. I also conducted a design exploration by building a technology intervention to understand how ICTs can better accommodate the interorganizational needs of information sharing for connecting. My research findings point towards an initial framework in understanding information sharing technologies for informal interorganizational networks.
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    Design and evaluation of a health-focused personal informatics application with support for generalized goal management
    (Georgia Institute of Technology, 2012-04-04) Medynskiy, Yevgeniy
    The practice of health self-management offers behavioral and problem-solving strategies that can effectively promote responsibility for one's own wellbeing, improve one's health outcomes, and decrease the cost of health services. Personal informatics applications support health self-management by allowing their users to easily track personal health information, and to review the changes and patterns in this information. Over the course of the past several years, I have pursued a research agenda centered on understanding how personal health informatics applications can further support the strategies of health self-management--specifically those relating to goal-management and behavior change. I began by developing a flexible personal informatics tool, called Salud!, that I could use to observe real-world goal management and behavior change strategies, as well as use to evaluate new interfaces designed to assist in goal management. Unlike existing personal informatics tools, Salud! allows users to self-define the information that they will track, which allows tracking of highly personal and meaningful data that may not be possible to track given other tools. It also enables users to share their account data with facilitators (e.g. fitness grainers, nutritionists, etc.) who can provide input and feedback. Salud! was built on top of an infrastructure consisting of a stack of modular services that make it easier for others to develop and/or evaluate a variety of personal informatics applications. Several research teams used this infrastructure to develop and deploy a variety of custom projects. Informal analysis of their efforts showed an unmet need for data storage and visualization services for home- and health-based sensor data. In order to design a goal management support tool for Salud!, I first, I conducted a meta-analysis of relevant research literature to cull a set of proven goal management strategies. The key outcome of this work was an operationalization of Action Plans--goal management strategies that are effective at supporting behavior change. I then deployed Salud! in two fitness-related contexts to observe and understand the breadth of health-related behavior change and goal management practices. Findings from these deployments showed that personal informatics tools are most helpful to individuals who are able to articulate short-term, actionable goals, and who are able to integrate self-tracking into their daily activities. The literature meta-analysis and the two Salud! deployments provided formative requirements for a goal management interaction that would both incorporate effective goal management strategies and support the breadth of real-world goals. I developed a model of the goal management process as the framework for such an interaction. This model enables goals to be represented, evaluated, and visualized, based on a wide range of user objectives and data collection strategies. Using this model, I was able to develop a set of interactions that allow users of Salud! to manage their personal goals within the application. The generalized goal management model shows the inherent difficulty in supporting open-ended, highly personalized goal management. To function generically, Salud! requires facilitator input to correctly process goals and meaningfully classify their attributes. However, for specific goals represented by specific data collection strategies, it is possible to fully- or semi-automate the goal management process. I ran a large-scale evaluation of Salud! with the goal management interaction to evaluate the effectiveness of a fully-automated goal management interaction. The evaluation consisted of a common health self-management intervention: a simple fitness program to increase participants' daily step count. The results of this evaluation suggest that the goal management interaction may improve the rate of goal realization among users who are initially less active and less confident in their ability to succeed. Additionally, this evaluation showed that, while it can significantly increase participants' step count, a fully automated fitness program is not as effective as traditional, instructor-led fitness programs. However, it is much easier to administer and much less resource intensive, showing that it can be utilized to rapidly evaluate concrete goal management strategies.
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    Designing ubiquitous computing for reflection and learning in diabetes management
    (Georgia Institute of Technology, 2009-04-09) Mamykina, Lena
    This dissertation proposes principles for the design of ubiquitous health monitoring applications that support reflection and learning in context of diabetes management. Due to the high individual differences between diabetes cases, each affected individual must find the optimal combination of lifestyle alterations and medication through reflective analysis of personal diseases history. This dissertation advocates using technology to enable individuals' proactive engagement in monitoring of their health. In particular, it proposes promoting individuals' engagement in reflection by exploiting breakdowns in individuals' routines or understanding; supporting continuity in thinking that leads to a systematic refinement of ideas; and supporting articulation of thoughts and understanding that helps to transform insights into knowledge. The empirical evidence for these principles was gathered thought the deployment studies of three ubiquitous computing applications that help individuals with diabetes in management of their diseases. These deployment studies demonstrated that technology for reflection helps individuals achieve their personal disease management goals, such as diet goals. In addition, they showed that using technology helps individuals embrace a proactive attitude towards their health indicated by their adoption of the internal locus of control.
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    Exploring a Technological Hermeneutic: Understanding the Interpretation of Computer-Mediated Messaging Systems
    (Georgia Institute of Technology, 2008-05-19) Voida, Amy
    Empirical evidence suggests that individuals can hold different interpretations of a technology. In this research, I explore the question of where these different interpretations come from. What influences an individual s interpretation of a technology? And what is the nature of these interpretations? I explore these questions through studies of computer-mediated messaging systems, including instant messaging, photo-enhanced instant messaging, multimedia messaging (cameraphones), and mobile messaging (BlackBerries). In this research, I draw from philosophical hermeneutics, a domain of study examining the nature of interpretation, and present a technological hermeneutic, a descriptive theory of how individuals interpret technology how they come to understand the meaning of the technology in their own lives. This theory offers insight into the myriad resources individuals draw from when constructing an interpretation of technology, including their own experiences with related technologies as well as their interactions with others use and understanding of the technology. This theory also offers insight into the nature of the interpretive process. Interpretations are dynamic and evolving; individuals continually draw from new experiences, reengaging and reinterpreting technology. Interpretations are also hybrid and synthesized; individuals draw from multiple resources in an active process of interpretive bricolage.