Dynamic three-dimensional information visualization for quantitative information in augmented reality systems

Quantitative information visualization such as statistical graphics is concerned with the visual representation of quantitative and categorical data for statistical analysis. With improvements in graphics display technology, it is now possible to make use of motion to stimulate recognition of patterns and structure embedded in quantitative data. Past studies have shown that the judged final position of a moving target is often displaced in the direction of the anticipated future motion of the target. Termed as representational momentum, these memory distortions have a strong relationship with the target's velocity. This study investigated human performance in visualizing dynamic quantitative information in augmented reality environments. Statistical results showed that the differences in speed and percentage change affect subject's accuracy in perceiving quantitative information significantly. On the other hand, the differences in display devices (Head-mounted-display and Liquid-crystal-display) did not indicate significant effects on subject's performance. Our results also showed that as the speed increases, the errors made in judging the final position of the moving bar also increases.