Evaluating 3D User Interaction Techniques on Spatial Working Memory for 3D Scatter Plot Exploration in Immersive Analytics

被引:1
作者
Han, Dongyun [1 ]
Cho, Isaac [1 ]
机构
[1] Utah State Univ, Logan, UT 84322 USA
来源
2023 IEEE INTERNATIONAL SYMPOSIUM ON MIXED AND AUGMENTED REALITY, ISMAR | 2023年
关键词
Human-centered computing; Visualization; Empirical studies in HCI; VIRTUAL-REALITY ENVIRONMENT; DATA VISUALIZATION; MOTION; NAVIGATION; TRAVEL;
D O I
10.1109/ISMAR59233.2023.00066
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This work evaluates three 3D user interaction techniques to investigate their visuo-spatial working memory support for users' data exploration in immersive analytics. Two techniques are the common VR locomotion technique, Walking and Teleportation, while the other one is Grab, an object manipulation technique. We present two formal user studies in VR and AR. Our study is designed based on the Corsi block-tapping Task, a psychological test for assessing visuo-spatial working memory. Our study results show that Walking supports spatial memory best, and Grab follows. Though Teleportation is found to support it the least, participants rated Teleportation as the easiest way to move in the VR study. We also compare the Walking and Grab results in the VR and AR studies and discuss differences. At last, we discuss our limitations and future work.
引用
收藏
页码:513 / 522
页数:10
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