Suggested Interactivity: Seeking Perceived Affordances for Information Visualization

Jeremy Boy (1, 2, 3) , Louis Eveillard (3) , Françoise Detienne (4) , Jean-Daniel Fekete (2)

1 Télécom ParisTech
2 AVIZ - Analysis and Visualization
3 EnsadLab - EnsadLab
4 LTCI - Laboratoire Traitement et Communication de l'Information

In this article, we investigate methods for suggesting the interactivity of online visualizations embedded with text. We first assess the need for such methods by conducting three initial experiments on Amazon's Mechanical Turk. We then present a design space for Suggested Interactivity (i. e., visual cues used as perceived affordances—SI), based on a survey of 382 HTML5 and visualization websites. Finally, we assess the effectiveness of three SI cues we designed for suggesting the interactivity of bar charts embedded with text. Our results show that only one cue (SI 3) was successful in inciting participants to interact with the visualizations, and we hypothesize this is because this particular cue provided feedforward. Index Terms—Suggested interactivity, perceived affordances, information visualization for the people, online visualization.

Mots clés: Suggested interactivity; perceived affordances; information visualization for the people; online visualization.

Domaines: Interface homme-machine [cs.HC]

Jeremy Boy, Louis Eveillard, Françoise Detienne, Jean-Daniel Fekete. Suggested Interactivity: Seeking Perceived Affordances for Information Visualization. IEEE Transactions on Visualization and Computer Graphics, 2016, 22 (1), pp.639-648. ⟨10.1109/TVCG.2015.2467201⟩. ⟨hal-01188973⟩