EuroVisPosters

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    Evaluating Cognitive Load: Force-directed Layout vs. Chord Layout
    (The Eurographics Association, 2017) Moses, Ricarda; Humayoun, Shah Rukh; AlTarawneh, Ragaad; Ebert, Achim; Anna Puig Puig and Tobias Isenberg
    Understanding cognitive processes during the interaction with visualizations, specifically limitations of working memory, opens a new perspective on evaluations and encourages a more user-centric design approach. In a user study we evaluated two graph data visualization approaches (i.e., the force-directed layout and the Chord layout) using a cognitive load questionnaire to assess the three load types: intrinsic, extraneous, and germane load. Tasks were designed to encourage insight and sensemaking in the participants during the evaluation. This type of evaluation helps to assess the users' mental processes during sensemaking and graph reading in the underlying layouts. Further, such study findings would help visualization designers in choosing the appropriate layout type for their graph data.
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    An Interactive Visual Representation to Explore Association with Hierarchical Social Circles
    (The Eurographics Association, 2017) Humayoun, Shah Rukh; Ali, Syed Hammad; AlTarawneh, Ragaad; Ebert, Achim; Anna Puig Puig and Tobias Isenberg
    Showing the relations between the contacts of an ego network, a subset of a large social network, and these contacts' associations to different social circles enables us exploring inside behavior of the underlying ego network. Normally, these social circles contain multiple hierarchies in them and many times the social circles at the second or lower level in the hierarchy are non-mutually exclusive. In this work, we propose an intuitive design solution to visualize an ego network with associated social circles, where the inside Chord diagram represents the contacts and their relations in an ego network while the outside arcs represent the associated social circles, keeping their hierarchies and the non-mutually exclusive property. Our HiSoC-Vis tool provides a number of interaction and filtering options to make the resulting visualization more intuitive and customizable.