2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)最新文献_第5页

Estimation of Detection Thresholds for Redirected Turning 重定向转弯检测阈值的估计

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) Pub Date : 2019-03-23 DOI: 10.1109/VR.2019.8797976

Junya Mizutani, Keigo Matsumoto, Ryohei Nagao, Takuji Narumi, T. Tanikawa, M. Hirose

引用次数: 2

Vibro-tactile Feedback for Real-world Awareness in Immersive Virtual Environments 沉浸式虚拟环境中真实世界感知的振动触觉反馈

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) Pub Date : 2019-03-23 DOI: 10.1109/VR.2019.8798036

Dimitar Valkov, L. Linsen

引用次数: 9

VR-Replay: Capturing and Replaying Avatars in VR for Asynchronous 3D Collaborative Design VR- replay:在异步3D协同设计中捕捉和重放虚拟形象

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) Pub Date : 2019-03-23 DOI: 10.1109/VR.2019.8797789

Cheng Yao Wang, Logan Drumm, Christopher Troup, Yingjie Ding, A. S. Won

引用次数: 3

Odor Modulation by Warming/Cooling Nose Based on Cross-modal Effect 基于交叉模态效应的暖/冷鼻气味调节

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) Pub Date : 2019-03-23 DOI: 10.1109/VR.2019.8797727

Yuichi Fujino, H. Matsukura, D. Iwai, Kosuke Sato

引用次数: 4

Contextual Bandit Learning-Based Viewport Prediction for 360 Video 基于上下文强盗学习的360视频视口预测

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) Pub Date : 2019-03-23 DOI: 10.1109/VR.2019.8797830

J. Heyse, M. T. Vega, F. D. Backere, F. Turck

引用次数: 20

A General Reactive Algorithm for Redirected Walking Using Artificial Potential Functions 一种基于人工势函数的重定向步行通用反应算法

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) Pub Date : 2019-03-23 DOI: 10.1109/VR.2019.8797983

Jerald Thomas, Evan Suma Rosenberg

引用次数: 42

Virtual vs. Physical Navigation in VR: Study of Gaze and Body Segments Temporal Reorientation Behaviour 虚拟现实中的虚拟与物理导航:凝视和身体部分时间重新定向行为的研究

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) Pub Date : 2019-03-23 DOI: 10.1109/VR.2019.8797721

Hugo Brument, Iana Podkosova, H. Kaufmann, A. Olivier, F. Argelaguet

{"title":"Virtual vs. Physical Navigation in VR: Study of Gaze and Body Segments Temporal Reorientation Behaviour","authors":"Hugo Brument, Iana Podkosova, H. Kaufmann, A. Olivier, F. Argelaguet","doi":"10.1109/VR.2019.8797721","DOIUrl":"https://doi.org/10.1109/VR.2019.8797721","url":null,"abstract":"This paper investigates whether the body anticipation synergies in real environments (REs) are preserved during navigation in virtual environments (VEs). Experimental studies related to the control of human locomotion in REs during curved trajectories report a top-down reorientation strategy with the reorientation of the gaze anticipating the reorientation of head, the shoulders and finally the global body motion. This anticipation behavior provides a stable reference frame to the walker to control and reorient his/her body according to the future walking direction. To assess body anticipation during navigation in VEs, we conducted an experiment where participants, wearing a head-mounted display, performed a lemniscate trajectory in a virtual environment (VE) using five different navigation techniques, including walking, virtual steering (head, hand or torso steering) and passive navigation. For the purpose of this experiment, we designed a new control law based on the power-law relation between speed and curvature during human walking. Taken together our results showed a similar ordered top-down sequence of reorientation of the gaze, head and shoulders during curved trajectories between walking in REs and in VEs (for all the evaluated techniques). However, the anticipation mechanism was significantly higher for the walking condition compared to the others. The results presented in this paper pave the way to the better understanding of the underlying mechanisms of human navigation in VEs and to the design of navigation techniques more adapted to humans.","PeriodicalId":315935,"journal":{"name":"2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)","volume":"43 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129738254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Determining Design Requirements for AR Physics Education Applications 确定AR物理教育应用的设计要求

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) Pub Date : 2019-03-23 DOI: 10.1109/VR.2019.8797908

Corey R. Pittman, J. Laviola

引用次数: 14

3D Positioning System Based on One-handed Thumb Interactions for 3D Annotation Placement 基于单手拇指交互的三维标注定位系统

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) Pub Date : 2019-03-23 DOI: 10.1109/VR.2019.8797979

Souichi Tashiro, Hideaki Uchiyama, D. Thomas, R. Taniguchi

引用次数: 2

Keynote Speaker: Hacking Human Visual Perception 主讲人:黑客人类视觉感知

2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) Pub Date : 2019-03-23 DOI: 10.1109/VR.2019.8798316

S. Nishida

{"title":"Keynote Speaker: Hacking Human Visual Perception","authors":"S. Nishida","doi":"10.1109/VR.2019.8798316","DOIUrl":"https://doi.org/10.1109/VR.2019.8798316","url":null,"abstract":"Roughly speaking, there are two strategies to provide users with a virtual realistic perceptual experience. One is to make the physical input to the user�s sensory systems close to that of the real experience (physics-based approach). The other one, which sensory scientists (like us) prefer, is to make the response pattern of the users� sensory system close to that of the real experience (perception-based approach). Using cognitive/neuro-scientific knowledge about human visual processing, we are able to control cortical perceptual representations in addition to sensor responses, and then achieve perceptual effects that would be hard to obtain with the straightforward physics-based approach. For instance, recent research on human material perception has suggested simple image-based methods to control glossiness, wetness, subthreshold fineness and liquid viscosity. Deformation Lamp/Hengento (Kawabe et al., 2016) is a projection mapping technique that can produce an illusory movement of a real static object. Although only a dynamic gray-scale pattern is projected, it effectively drives visual motion sensors in the human brain, and then induces a “motion capture” effect on the colors and textures of the original static object. In Hidden Stereo (Fukiage et al., 2017), multi-scale phase-based binocular disparity signals effectively drives human stereo mechanisms, while the disparity-inducing image components for the left and right images are cancelled out with each other when they are fused. As a result, viewers with stereo glasses perceive 3D images, while those without glasses can enjoy 2D images with no visible ghosts. I will discuss how vision science helps virtual reality technologies, and how vision science is helped by application to the cutting-edge technologies.","PeriodicalId":315935,"journal":{"name":"2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122965762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0