Viewpoint-sharing method with reduced motion sickness in object-based VR/AR collaborative virtual environment

Author:

Tserenchimed Tuvshintulga,Kim HyungkiORCID

Abstract

AbstractWe propose a viewpoint-sharing method with reduced motion sickness in an object-based remote collaborative virtual environment (CVE). The method is designed with an assumption of asymmetric, object-based CVE where collaborators use non-homogeneous devices, such as immersive virtual reality head-mounted display (VR HMD) and tablet-based augmented reality (AR), and simultaneously interact with 3D virtual objects. Therefore, collaborators interact with different interfaces such as virtual reality (VR) users relying on controllers for virtual locomotion and object manipulation, while AR users perform physical locomotion and multi-touch input for object manipulation. The proposed viewpoint-sharing method allows both users to observe and manipulate the objects in interest from the shared point of view, enabling participants to interact with the objects without the need for virtual/physical locomotion. While viewpoint-sharing, instead of changing point of view, the proposed method performs seamless object transformation to provide a shared point of view, reducing motion sickness and associated discomfort. From our user experiment, the viewpoint-share condition resulted in a 35.47% faster task completion time than the baseline condition which is without proposed viewpoint-sharing. The advantage of viewpoint-sharing regarding system usability was significant, while task workloads were similar in the baseline and viewpoint-sharing conditions. We expect that the proposed viewpoint-sharing method allows users to quickly, efficiently, and collaboratively communicate in an object-based CVE, and represents a step forward in the development of effective remote, asymmetric CVE.

Funder

National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3