Exploring User-Preferred Gestures for Interaction Tasks of Data Visualization on the Large Display

Abstract

Interaction with graphical visualization is an important part of visual analytics. The purpose of this study is to explore how analysts will understand the using of gestures for interacting with data displayed on large screen. For this purpose, this study aims at investigating user-preferred interactions for the tasks of data visualization. To elicit gestures for 20 visualization tasks which cover all categories of interaction for visual analysis, the researcher designed a quick-response experiment based on the Wizard-of-Oz (WoZ) method. Finally, the gestures with high frequency were selected. Findings show the distance between user and the display has an impact on the elicited gestures for specific tasks. The consensus on users’ gesture proposals is also discussed. The conclusion of this research has some implications for natural interaction design for visualization.