Virtual Grasping Feedback and the Virtual Hand Ownership

Title: Virtual Grasping Feedback and the Virtual Hand Ownership

Teams: Facebook

Writers: Ryan Canales, Aline Normoyle, Yu Sun, Yuting Ye, Massimiliano Di Luca, Sophie Jörg

Publication date: September 19, 2019

Abstract

In this study, we analyze the performance, user preference, and sense of ownership for eight virtual grasping visualizations. Six are classified as either a tracked hand visualization or an outer hand visualization. The tracked hand visualizations are those that allow the virtual hand to enter the object being grasped, whereas the outer hand visualizations do not, thereby simulating a realistic interaction. One visualization is a compromise between the two, showing a primary virtual hand that stays outside the grasped object and a secondary hand that follows the users tracked hand into it. We use high fidelity marker-based hand tracking to control the virtual hands in real time. For each feedback technique, users repeatedly pick up a gray virtual ball, move it to a target position, and release it on the target. We found that the tracked hand visualizations result in better performance, however, the outer hand visualizations were preferred. We also found some evidence that ownership is stronger with the more realistic visualizations.