Identification of Out-of-View Objects in Virtual Reality

被引：1

作者：

Gruenefeld, Uwe ^{[1
]}

von Bargen, Rieke ^{[1
]}

Heuten, Wilko ^{[2
]}

机构：

[1] Carl von Ossietzky Univ Oldenburg, Oldenburg, Germany

[2] OFFIS Inst IT, Oldenburg, Germany

来源：

SUI'18: PROCEEDINGS OF THE 2018 SYMPOSIUM ON SPATIAL USER INTERACTION | 2016年

关键词：

Out-of-view; Visualization; Identification; Virtual Reality;

D O I：

10.1145/3267782.3274678

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Current Virtual Reality (VR) devices have limited fields-of-view (FOV). A limited FOV amplifies the problem of objects receding from view. In previous work, different techniques have been proposed to visualize the position of objects out of view. However, these techniques do not allow to identify these objects. In this work, we compare three different ways of identifying out-of-view objects. Our user study shows that participants prefer to have the identification always visible.

引用

页码：182 / 182

页数：1

共 2 条

[1] EyeSee360: Designing a Visualization Technique for Out-of-view Objects in Head-mounted Augmented Reality [J].

Gruenefeld, Uwe ;

Ennenga, Dag ;

El Ali, Abdallah ;

Heuten, Wilko ;

Boll, Susanne .

SUI'17: PROCEEDINGS OF THE 2017 SYMPOSIUM ON SPATIAL USER INTERACTION, 2017, :109-118

[2] EyeMR - Low-cost Eye-Tracking for Rapid-prototyping in Head-mounted Mixed Reality [J].

Stratmann, Tim Claudius ;

Gruenefeld, Uwe ;

Boll, Susanne .

2018 ACM SYMPOSIUM ON EYE TRACKING RESEARCH & APPLICATIONS (ETRA 2018), 2018,

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