conviscope visual analytics for exploring patient conversations

• DOI: 10.14288/1.0406303
• Publication Date: 2021-10-01
• Authors: Enamul Hoque; Giuseppe Carenini; Richard T. Lester; Raymond Li; Raymond Chau
• Keywords: FOS: Computer and information sciences; Computer Science - Computation and Language; Computer Science - Human-Computer Interaction; 02 engineering and technology; Human-Computer Interaction (cs.HC); 3. Good health; 03 medical and health sciences; 0302 clinical medicine; 0202 electrical engineering, electronic engineering, information engineering; Computation and Language (cs.CL)

5 pages, 3 figures, accepted as short paper at IEEE VIS 2021<br/>The proliferation of text messaging for mobile health is generating a large amount of patient-doctor conversations that can be extremely valuable to health care professionals. We present ConVIScope, a visual text analytic system that tightly integrates interactive visualization with natural language processing in analyzing patient-doctor conversations. ConVIScope was developed in collaboration with healthcare professionals following a user-centered iterative design. Case studies with six domain experts suggest the potential utility of ConVIScope and reveal lessons for further developments.<br/>