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Item Developing a Just-in-Time Adaptive Mobile Platform for Family Medicine Education: Experiential Lessons Learned(AACE, 2017-10) Rogers, Christian; Cooper, Shannon; Renshaw, Scott; Schnepp, Jerry; Renguette, Corinne; Seig, Mary Theresa; Computer Information and Graphics Technology, School of Engineering and TechnologyEASEL is a platform designed to provide just-in-time adaptive support to students during experiential learning interviews conducted as part of required work in an online course in a family medicine education program in a Midwestern urban university setting EASEL considers the time and location of the student and provides questions and content before, during, and after the interviews take place EASEL will provide a new way to facilitate and support online family medicine students as they meet with patients and healthcare professionals This paper presents a look at the considerations, issues, and lessons learned during the development process of this interdisciplinary collaborative effort between the platform designers and family medicine faculty while working toward completion of the studyItem Digesting omni-video along routes for navigation(Office of the Vice Chancellor for Research, 2011-04-08) Cai, Hongyuan; Zheng, Jiang YuOmni-directional video records complete visual information along a route. Though replaying an omni-video presents reality, it requires significant amount of memory and communication bandwidth. This work extracts distinct views from an omni-video to form a visual digest named route sheet for navigation. We sort scenes at the motion and visibility level and investigate the similarity/redundancy of scenes in the context of a route. We use source data from 3D elevation map or omni-videos for the view selection. By condensing the flow in the video, our algorithm can generate distinct omni-view sequences with visual information as rich as the omni-video for further scene indexing and navigation with GIS data.