Iterative Design of Visual Analytics for a Clinician-in-the-Loop Smart Home
Year: 2018
Type: article
Abstract: 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.
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: Development of an Online Course Suite in Tools for Analysis of Sensor-Based Behavioral Health Data (AHA!), Smart environment technology for longitudinal behavior analysis and intervention, Multidisciplinary undergraduate training program in Health-assistive Smart Environments, A clinician-in-the-loop smart environment to support management of chronic health conditions
OpenAlex ID: W2887210265