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Visual Analytics of Smartphone-Sensed Human Behavior and Health.

Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji

    IEEE Computer Graphics and Applications
    |May 7, 2021
    PubMed
    Summary
    This summary is machine-generated.

    Interactive visual analytics (IVA) can improve smartphone health sensing tools. IVA helps correct data errors and provides clinicians with better patient behavior insights for improved healthcare.

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    Area of Science:

    • Health Informatics
    • Human-Computer Interaction
    • Data Visualization

    Background:

    • Smartphone health sensing tools gather passive human behavior data for longitudinal patient monitoring.
    • Accurate ground-truth annotations are crucial for developing reliable health sensing tools.

    Purpose of the Study:

    • To explore the role of interactive visual analytics (IVA) in enhancing smartphone health sensing tools.
    • To demonstrate how IVA can aid data scientists in correcting health data annotations.
    • To show how IVA can provide clinicians with contextual insights into patient behaviors.

    Main Methods:

    • Review of the current state-of-the-art in visual analytics for health sensing.
    • Discussion of unique challenges in applying IVA to behavioral health data.
    • Illustration of IVA applications using case studies and existing research.

    Main Results:

    • IVA facilitates the discovery and correction of erroneous or missing ground-truth annotations in health data.
    • IVA enhances the interpretability of patient behavior data for clinicians.
    • IVA integration can improve the accuracy and utility of smartphone-based health monitoring.

    Conclusions:

    • Interactive visual analytics is a valuable approach for developing and utilizing smartphone health sensing tools.
    • Addressing the challenges in IVA for health data can unlock significant advancements in digital health.
    • Further research is needed to fully realize the potential of IVA in personalized and preventative medicine.