This project explores how the visualization of sentiments, extracted from social media posts, can foster transparency and strengthen relations between businesses and their customers. Guided by the nature of the data and an iterative design based on our end users' feedback, we examine a variety of visualization styles and metaphors as possible directions for a common set of tools to benefit both groups of users.
G. Gali, S. Oliver, F. Chevalier, and S. Diamond. Visualizing Sentiments in Business-Customer Relations with Metaphors in Proceedings of the SIGCHI conference on Human Factors in computing systems (CHI'12), Extended Abstracts, 6 pages, May 2012.
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