Park Chaeyong, Kim Jinsoo, Choi Seungmoon
IEEE Trans Haptics. 2021 Apr-Jun;14(2):310-315. doi: 10.1109/TOH.2021.3077709. Epub 2021 Jun 17.
Typical handheld controllers for interaction in virtual reality (VR) have fixed shapes and sizes, regardless of what visual objects they represent. Resolving this crossmodal incongruence with a shape-changing interface is our long-term goal. In this paper, we seek to find a length perception model that considers the moment of inertia (MOI) and diameter of a handheld object based on the concept of dynamic touch. Such models serve as a basis for computational algorithms for shape changing. We carried out two perceptual experiments. In Experiment 1, we measured the perceived lengths of 24 physical objects with different MOIs and diameters. Then we obtained a length perception model to reproduce the desired perceived length with a handheld controller. In Experiment 2, we validated our model in a crossmodal matching scenario, where a visual rod was matched to a haptic rod in terms of the perceived length. Our results contribute to understanding the relationship between the perceived length and physical properties of a handheld object and designing shape-changing algorithms to render equivalent visual and haptic sensory cues for length perception in VR.
虚拟现实（VR）中用于交互的典型手持控制器具有固定的形状和尺寸，无论它们代表何种视觉对象。通过可变形界面解决这种跨模态不一致是我们的长期目标。在本文中，我们试图基于动态触觉概念找到一种考虑手持物体转动惯量（MOI）和直径的长度感知模型。此类模型为形状变化的计算算法奠定基础。我们进行了两项感知实验。在实验1中，我们测量了24个具有不同转动惯量和直径的物理对象的感知长度。然后我们获得了一个长度感知模型，以通过手持控制器再现所需的感知长度。在实验2中，我们在跨模态匹配场景中验证了我们的模型，在该场景中，一根视觉杆在感知长度方面与一根触觉杆相匹配。我们的研究结果有助于理解手持物体的感知长度与物理属性之间的关系，并设计形状变化算法，以在VR中为长度感知提供等效的视觉和触觉感官线索。
