Suggested Interactivity: Seeking Perceived Affordances for Information Visualization

• Published in: IEEE transactions on visualization and computer graphics Vol. 22; no. 1; pp. 639 - 648
• Main Authors: Boy, Jeremy, Eveillard, Louis, Detienne, Françoise, Fekete, Jean-Daniel
• Format: Journal Article
• Language: English
• Published: United States IEEE 31.01.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); Institute of Electrical and Electronics Engineers
• Subjects: Brushes; Computer Science; Electronic publishing; Encyclopedias; Human-Computer Interaction; HyperText Markup Language; information visualization for the people; Internet; online visualization; perceived affordances; Scientific visualization; Silicon; Suggested interactivity; Visual perception; Visualization; Websites; information visualization for the people; online visualization; perceived affordances; Suggested interactivity
• ISSN: 1077-2626; 1941-0506; 1941-0506
• DOI: 10.1109/TVCG.2015.2467201

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 (SI3) was successful in inciting participants to interact with the visualizations, and we hypothesize this is because this particular cue provided feedforward.