Contributors:

Hrim Mehta, Amira Chalbi, Fanny Chevalier, and Christopher Collins

Visual storytelling is commonly employed to communicate data analyses results. Alternatively, (semi-)automated [1, 2, 6] data narratives or “tours” have been proposed as a means to prompt exploration of massive multidimensional datasets, substituting the more prevalent static overviews. While these works demonstrate specific instances of data tours, a concrete model to describe the building blocks of such tours is lacking. We present a descriptive hierarchical framework, DataTours, to formalize and guide the design of (semi-)automated tours for data exploration and discuss challenges evoked by the framework in the (semi-)automated authoring of such tours.

Publications

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