An increasingly large amount of digital video content continues to become available on the Internet. This content ranges from short entertainment clips by amateurs lasting a few minutes to full-fledged, significantly longer, serious course lectures and presentations by subject matter experts. As these video bits of content continue to get pushed out one-way, to the learner, the content authors have no quick or easy way of getting an objective, machine-processable opinion on arbitrary subsections of their content. In this paper, we explore the design and implementation of an innovative software visualization system that uses 'Opinion Maps' and a WYSIWYG (When You See Is When You Give) approach to bring a much needed real-time focus to the feedback aspect of the video mode of instruction. In addition to using routine graphical charting to visualize server-side tabular data, an Opinion Map employs a combination of (i) a Tukey Box+ plot - a simple but powerful extension to the Tukey Box plot - to present N-point ordinal opinion scores, collected from learners potentially for every single second of the video content, (ii) a per-second opinion score histogram, and (iii) overall 'best' and 'worst' opinion score visualizations. The system is nonintrusive; it requires no special content authoring processes and bolts on to prerecorded digital video content.
cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@1c7e7f0d ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@34c73d18 Through org.apache.xalan.xsltc.dom.DOMAdapter@47c0dba; Conference Code:82742
Na Sharma and Raghu Raman, “Opinion maps for tracking and visualizing feedback on digital video content”, in ICDLE 2010 - 2010 4th International Conference on Distance Learning and Education, Proceedings, San Juan, PR, 2010, pp. 20-27.