What storytelling can do for information visualization
Communications of the ACM
An Insight-Based Methodology for Evaluating Bioinformatics Visualizations
IEEE Transactions on Visualization and Computer Graphics
Crowdsourcing graphical perception: using mechanical turk to assess visualization design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Narrative Visualization: Telling Stories with Data
IEEE Transactions on Visualization and Computer Graphics
Predicting personality with social media
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Visualization Rhetoric: Framing Effects in Narrative Visualization
IEEE Transactions on Visualization and Computer Graphics
Interactive Dynamics for Visual Analysis
Queue - Micoprocessors
Proceedings of the 21st international conference companion on World Wide Web
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Growth and trends in recent data visualization research show that fact that after maturity of the tools allowing the end-user to explore through data, the next logical step is to focus on data analysis and presentation. The main criterion of setting up a presentation is to balance the relevancy level of data exposure and interaction within the story arc. Commonly, this is the author's role to write a single story and make it memorable and effective for the targeted audience. Considering the existing level of personal information that can be extracted from social networks, a unique opportunity is to get to know the audience before developing the story. Applying this theory in a system creates the possibility of crafting separate personalized visualization for each targeted individual. In this paper, we propose a foundation to a framework to generate the ultimate recommender story based on the given objectives and balanced level of detail in the visualization using the extracted user's information from social networks. This will be the next rational step towards enhancing the tools to assist the critical role of aiding decision making and education processes using visualization.