Rotational Self-motion Cues Improve Spatial Learning when Teleporting in Virtual Environments

被引:6
作者
Lim, Alex F. [1 ]
Kelly, Jonathan W. [1 ]
Sepich, Nathan C. [1 ]
Cherep, Lucia A. [1 ]
Freed, Grace C. [1 ]
Gilbert, Stephen B. [1 ]
机构
[1] Iowa State Univ, Ames, IA 50011 USA
来源
PROCEEDINGS OF THE 2020 ACM SYMPOSIUM ON SPATIAL USER INTERACTION, SUI 2020 | 2020年
基金
美国国家科学基金会;
关键词
virtual reality; spatial navigation; survey knowledge; teleporting; ENHANCE KNOWLEDGE; COGNITIVE MAP; SCALE; ACQUISITION; NAVIGATION; REAL;
D O I
10.1145/3385959.3418443
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Teleporting interfaces are widely used in virtual reality applications to explore large virtual environments. When teleporting, the user indicates the intended location in the virtual environment and is instantly transported, typically without self-motion cues. This project explored the cost of teleporting on the acquisition of survey knowledge (i.e., a "cognitive map"). Two teleporting interfaces were compared, one with and one without visual and body-based rotational self-motion cues. Both interfaces lacked translational self-motion cues. Participants used one of the two teleporting interfaces to find and study the locations of six objects scattered throughout a large virtual environment. After learning, participants completed two measures of cognitive map fidelity: an object-to-object pointing task and a map drawing task. The results indicate superior spatial learning when rotational self-motion cues were available. Therefore, virtual reality developers should strongly consider the benefits of rotational self-motion cues when creating and choosing locomotion interfaces.
引用
收藏
页数:7
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