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Generating Summaries and Visualization for Large Collections of Geo-referenced Photographs
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Personal research summary 2017
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A description of the development of a scale for measuring consumer engagement with health content on websites and other digital media. We define engagement as the process of involving users in health content in ways that motivate and lead to health behavior change. Significant predictive validity with behavioral intentions and readiness to act was found in nine health content areas. The eHealth Engagement Scale may prove to be an important mediator of user retention of information, intentions to change, and ultimately efforts to undertake and achieve behavior change.
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Social network graphs are node-link (vertex-edge; entity-relationship) diagrams that show relationships between people and groups. Open-source tools like NodeXL Basic (available on Microsoft’s CodePlex) enable the capture of network data from select social media platforms through third-party add-ons and social media APIs. From social groups, relational clusters are extracted with clustering algorithms which identify intensities of connections. Visually, structural relational data is conveyed with layout algorithms in two-dimensional space. Using these various layout options and built-in visual design features, it is possible to aesthetically “deform” the network graph data for visual effects. This presentation introduces novel datasets and novel data visualizations.
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These are the slides from my presentation at the excellent AI/Game conference in Vienna July 2014 (http://gameaiconf.com/), covering two topics: 1) a broad introduction to the practice of game analytics; 2) a description of how to use cluster analysis to build profiles of players based on game telemetry.
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