Abstract

Traditionally, Augmented Reality (AR) visualizations have been designed based on intuition, leading to many ineffective designs. For more effective AR interfaces to be designed, user-based experimentation must be performed. However, user study methods and apparatuses to conduct such controlled experiments are lacking in the AR community. In this project, such a set of empirical experiment methods and an apparatus system have been developed for use in AR environments, in the hope that this work will guide future researchers in performing such experiments. To evaluate the contributions, the work has been applied in experiments which addressed a classical problem in AR caused by the use of explicit cues for visual cueing in Visual Search tasks, in which these explicit cues may occlude and clutter the scene, leading to scene distortion. The work demonstrated that through these experiments, it is possible to rigorously and effectively evaluate a novel method of AR visualization called Subtle Cueing that provides a novel solution to the problem.

Resources

Paper

Weiquan Lu, Henry B.L. Duh, Steven K. Feiner, and Qi Zhao, "Attributes of Subtle Cues for Facilitating Visual Search in Augmented Reality," in Transactions on Visualization and Computer Graphics (TVCG), in press. [pdf] [bib]

Weiquan Lu, Dan Feng, Steven K. Feiner, Qi Zhao, and Henry B.L. Duh, "Subtle Cueing for Visual Search in Head-Tracked Head Worn Displays," in International Symposium on Mixed and Augmented Reality (ISMAR), Adelaide, Australia, 2013. [pdf] [bib]

Experiment Stimuli and System Source Code checkout from code.google.com