Browsing by Subject "personal informatics"

Now showing 1 - 3 of 3
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    Bridging Community, History, and Culture in Personal Informatics Tools: Insights from an Existing Community-Based Heart Health Intervention for Black Americans
    (ACM, 2022-01) Martin-Hammond, Aqueasha; Purnell, Tanjala S.; Human-Centered Computing, School of Informatics and Computing
    A healthy diet and increased physical activity are essential for reducing the prevalence of cardiovascular disease and related deaths, a worldwide public health concern that disproportionately affects Black American communities. Still, Black Americans can face unique challenges meeting dietary and physical activity requirements due to inequities in access and quality of care, environmental and local factors, and difficulties in changing individual health behaviors. Personal informatics and self-tracking tools are one way of increasing awareness of health behaviors to motivate behavior change. However, there are still gaps in knowledge about what encourages different users to engage with personal informatics tools over time, particularly when used in collaborative, community-health settings. This paper contributes a nuanced understanding of fifteen participants' reasons for engaging in an existing community-based health education and behavior change program that combines collaborative self-tracking with culturally relevant content and social engagement to motivate heart-healthy behaviors. We illustrate participants' positive and negative experiences engaging in self-tracking and collaborative tasks during the program. We also discuss how participants envision that integrating technology might support or hinder participant engagement and the work of deploying community-based public health interventions. Finally, we discuss design implications for culturally informed, community-based personal informatics tools that engage Black American's in heart-healthy activities.
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    A Circle of Friends: Persuasive Tools to Improve Heart Health
    (ACM, 2020-01) Sanders, Jamie; Glenn-Smith, Ina; Purnell, Tanjala S.; Martin-Hammond, Aqueasha; Charleston, Jeanne; Human-Centered Computing, School of Informatics and Computing
    Cardiovascular disease (CVD) is the leading causes of death in the United States and worldwide. While CVD risk factors are well-known and many can be changed with diet and exercise, more research is needed to understand how to design effective interventions that help patients reduce CVD risk. In this paper, we present the results of a content analysis of the Health Freedom Circle of Friends (COF) Walking Program, a community-based health program run by a public health non-profit that has been shown to reduce CVD risks. We examine the design to better understand the persuasive tools used as well as parts of the design that might benefit from a technological intervention.
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    Supporting Collaborative Health Tracking in the Hospital: Patients’ Perspectives
    (ACM, 2018) Mishra, Sonali R.; Miller, Andrew D.; Haldar, Shefali; Khelifi, Maher; Eschler, Jordan; Elera, Rashmi G.; Pollack, Ari H; Pratt, Wanda; Human-Centered Computing, School of Informatics and Computing
    The hospital setting creates a high-stakes environment where patients’ lives depend on accurate tracking of health data. Despite recent work emphasizing the importance of patients’ engagement in their own health care, less is known about how patients track their health and care in the hospital. Through interviews and design probes, we investigated hospitalized patients’ tracking activity and analyzed our results using the stage-based personal informatics model. We used this model to understand how to support the tracking needs of hospitalized patients at each stage. In this paper, we discuss hospitalized patients’ needs for collaboratively tracking their health with their care team. We suggest future extensions of the stage-based model to accommodate collaborative tracking situations, such as hospitals, where data is collected, analyzed, and acted on by multiple people. Our findings uncover new directions for HCI research and highlight ways to support patients in tracking their care and improving patient safety.