A CLOUD COMPUTING-BASED DASHBOARD FOR THE VISUALIZATION OF MOTIVATIONAL INTERVIEWING METRICS
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ABSTRACT
Heng, E Jinq. M.S. Department of Computer Science and Engineering, Wright State University, 2022. A Cloud Computing-based Dashboard for the Visualization of Motivational Interviewing Metrics. Motivational Interviewing (MI) is an evidence-based brief interventional technique that has been demonstrated to be effective in triggering behavior change in patients. To facilitate behavior change, healthcare practitioners adopt a nonconfrontational, empathetic dialogic style, a core component of MI. Despite its advantages, MI has been severely underutilized mainly due to the cognitive overload on the part of the MI dialogue evaluator, who has to assess MI dialogue in real-time and calculate MI characteristic metrics (number of open-ended questions, close-ended questions, reflection, and scale-based sentences) for immediate post-session evaluation both in MI training and clinical settings. To automate dialogue assessment and produce instantaneous feedback several technology-assisted MI (TAMI) tools like ReadMI based on Natural Language Processing (NLP) have been developed on mobile computing platforms like Android. These tools, however, are ill-equipped to support remote work and education settings, a consequence of the COVID-19 pandemic. Furthermore, these tools lack data visualization features to intuitively understand and track MI progress.
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