Title :
[POSTER] Vergence-Based AR X-ray Vision
Author :
Yuki Kitajima;Sei Ikeda;Kosuke Sato
Author_Institution :
Grad. Sch. of Eng. Sci., Osaka Univ., Toyonaka, Japan
Abstract :
The ideal AR x-ray vision should enable users to clearly observe and grasp not only occludees, but also occluders. We propose a novel selective visualization method of both occludee and oc-cluder layers with dynamic opacity depending on the user´s gaze depth. Using the gaze depth as a trigger to select the layers has a essential advantage over using other gestures or spoken commands in the sense of avoiding collision between user´s intentional commands and unintentional actions. Our experiment by a visual paired-comparison task shows that our method has achieved a 20% higher success rate, and significantly reduced 30% of the average task completion time than a non-selective method using a constant and half transparency.
Keywords :
"Visualization","Three-dimensional displays","Augmented reality","X-ray imaging","Yttrium","Indexes","Brain-computer interfaces"
Conference_Titel :
Mixed and Augmented Reality (ISMAR), 2015 IEEE International Symposium on
DOI :
10.1109/ISMAR.2015.58