Tactile feedback is pivotal for grasping and manipulation in
humans. Providing functionally effective sensory feedback to prostheses
users is an open challenge. Past paradigms were mostly based on vibroor
electrotactile stimulations. However, the tactile sensitivity on the targeted
body parts (usually the forearm) is greatly less than that of the
hand/fingertips, restricting the amount of information that can be provided
through this channel. Visual feedback is the most investigated technique
in motor learning studies, where it showed positive effects in learning both
simple and complex tasks; however, it was not exploited in prosthetics due
to technological limitations. Here, we investigated if visual information provided
in the form of augmented reality (AR) feedback can be integrated
by able-bodied participants in their sensorimotor control of a pick-and-lift
task while controlling a robotic hand. For this purpose, we provided visual
continuous feedback related to grip force and hand closure to the participants.
Each variable was mapped to the length of one of the two ellipse
axes visualized on the screen of wearable single-eye display AR glasses.
We observed changes in behavior when subtle (i.e., not announced to the
participants) manipulation of the AR feedback was introduced, which indicated
that the participants integrated the artificial feedback within the
sensorimotor control of the task. These results demonstrate that it is possible
to deliver effective information through AR feedback in a compact and
wearable fashion. This feedback modality may be exploited for delivering
sensory feedback to amputees in a clinical scenario.