Virtual grasping, visual feedback
Abstract:We investigate visual feedback to improve user grasp behavior when real fingers enter a virtual object. Prior guidelines are based largely on other interaction types and provide inconsistent and potentially-misleading information when applied to grasping. We compare several different visual feedback types including those most commonly seen for virtual hand interaction and with some novel visual aspects. Visuals were tuned in a pilot study, and our main study evaluated results in terms of objective performance and subjective rankings. Performancewise, the most promising techniques all directly reveal penetrating hand configuration in some way. Subjectively, color changes are most liked.