Piumsomboon Thammathip, Dey Arindam, Ens Barrett, Lee Gun, Billinghurst Mark
Empathic Computing Laboratory, University of South Australia, Mawson Lakes, SA, Australia.
School of Product Design, University of Canterbury, Christchurch, New Zealand.
Front Robot AI. 2019 Feb 8;6:5. doi: 10.3389/frobt.2019.00005. eCollection 2019.
Augmented and Virtual Reality provide unique capabilities for Mixed Reality collaboration. This paper explores how different combinations of virtual awareness cues can provide users with valuable information about their collaborator's attention and actions. In a user study ( = 32, 16 pairs), we compared different combinations of three cues: Field-of-View (FoV) frustum, Eye-gaze ray, and Head-gaze ray against a baseline condition showing only virtual representations of each collaborator's head and hands. Through a collaborative object finding and placing task, the results showed that awareness cues significantly improved user performance, usability, and subjective preferences, with the combination of the FoV frustum and the Head-gaze ray being best. This work establishes the feasibility of room-scale MR collaboration and the utility of providing virtual awareness cues.
增强现实和虚拟现实为混合现实协作提供了独特的能力。本文探讨了虚拟感知线索的不同组合如何能为用户提供有关其协作伙伴的注意力和行动的有价值信息。在一项用户研究中（n = 32，16对），我们将三种线索的不同组合：视场（FoV）截锥体、视线射线和头部注视射线与仅显示每个协作伙伴头部和手部的虚拟表示的基线条件进行了比较。通过一项协作式物体查找和放置任务，结果表明感知线索显著提高了用户性能、可用性和主观偏好，其中视场截锥体和头部注视射线的组合效果最佳。这项工作确立了房间规模的混合现实协作的可行性以及提供虚拟感知线索的效用。
