Iterative Design of Visual Analytics for a Clinician-in-the-Loop Smart Home

Alireza Ghods; Kathleen Caffrey; Beiyu Lin; Kylie Fraga; Roschelle Fritz; Maureen Schmitter-Edgecombe; Christopher Hundhausen; Diane J Cook

doi:10.1109/JBHI.2018.2864287

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Iterative Design of Visual Analytics for a Clinician-in-the-Loop Smart Home

Journal article

Open access

Iterative Design of Visual Analytics for a Clinician-in-the-Loop Smart Home

Alireza Ghods, Kathleen Caffrey, Beiyu Lin, Kylie Fraga, Roschelle Fritz, Maureen Schmitter-Edgecombe, Christopher Hundhausen and Diane J Cook

IEEE journal of biomedical and health informatics, Vol.23(4), pp.1742-1748

07/2019

DOI: https://doi.org/10.1109/JBHI.2018.2864287

Handle:

https://hdl.handle.net/2376/106999

PMCID: PMC6391215

PMID: 30106700

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Abstract

Visual analytics

Smart homes

Medical services

Activity recognition

clinician in the loop

remote health monitoring

Intelligent sensors

Monitoring

In order to meet the health needs of the coming "age wave," technology needs to be designed that supports remote health monitoring and assessment. In this study we design clinician in the loop (CIL), a clinician-in-the-loop visual interface, that provides clinicians with patient behavior patterns, derived from smart home data. A total of 60 experienced nurses participated in an iterative design of an interactive graphical interface for remote behavior monitoring. Results of the study indicate that usability of the system improves over multiple iterations of participatory design. In addition, the resulting interface is useful for identifying behavior patterns that are indicative of chronic health conditions and unexpected health events. This technology offers the potential to support self-management and chronic conditions, even for individuals living in remote locations.

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Title: Iterative Design of Visual Analytics for a Clinician-in-the-Loop Smart Home
Creators: Alireza Ghods - School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA
Kathleen Caffrey - Department of Psychology, Washington State University, Pullman, WA, USA
Beiyu Lin - School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA
Kylie Fraga - Department of Psychology, Washington State University, Pullman, WA, USA
Roschelle Fritz - Department of Nursing, Washington State University, Vancouver, WA, USA
Maureen Schmitter-Edgecombe - Department of Psychology, Washington State University, Pullman, WA, USA
Christopher Hundhausen - School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA
Diane J Cook - School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, USA
Publication Details: IEEE journal of biomedical and health informatics, Vol.23(4), pp.1742-1748
Academic Unit: Nursing, College of; Psychology, Department of; Electrical Engineering and Computer Science, School of
Publisher: IEEE
Grant note: R25EB024327; R01NR016732 / National Institutes of Health (10.13039/100000002)
Identifiers: 99900546711101842
Language: English
Resource Type: Journal article