The virtual haptic display: A device for exploring 2-D virtual shapes in the tactile modality

Active photonic sensing for super-resolved reading performance in simulated prosthetic vision

“…Of main interest in this field is studying the differences between cases under sensorimotor contingency conditions, in which the scanning organ (actuator) is the same as the sensing organ (sensor) to cases under sensorimotor non-contingency conditions, in which the actuator is different from the sensing organ. Many studies have shown that under sensorimotor contingency conditions, active sensing outperforms the sensorimotor non-contingency conditions, probably due to the dependency on natural sensory motor loops [4,[38][39][40]. Furthermore, it has been shown that sensorimotor contingency is important for the normal development of the visual system [41].…”

A comparison of audio and tactile displays for non-visual target selection tasks

“…For example, Owen et al [15] developed a low-cost tactile mouse to improve haptic positioning information accuracy, which includes a spatial and temporal concordance between the kinesthetic and tactile information. Chan et al [3] present an apparatus called VHD that can translate 2-D graphic presentation of visual stimuli into haptic feedback. Kyung, Kim and Kwon [12] developed a novel haptic mouse that can provide texture feedback capabilities including patterns, gratings, roughness, as well as Braille.…”

“…Blind people have a spatial concept or mental model of the real world (e.g., position, orientation and size) that is nearly the same as that of sighted people [10], but may have difficulties constructing accurate mental schema of an explored environment or object when compared to their sighted peers [5]. Several studies Chan, et al [3], Fritz and Barner [6] and Yu, Guffie and Brewster [19] suggest that haptic interfaces hold great potential for providing effective new paradigms of interaction for people who cannot use visual displays, and have been investigated as a means of improving human-computer interaction.…”

Active sensory substitution allows fast learning via effective motor-sensory strategies

“…In order to elucidate the motor strategies underlying this fast active perception, we analyzed the scanning trajectories of our participants' hands during the tasks. In general, our participants exhibited a wealth of scanning patterns (see also (Ziat et al, 2005;Chan et al, 2007)), whose details and general characteristics changed from trial to trial and session to session. Despite this large variability, several consistent components of scanning were evident: the hands scanned across or along contours, and often dwelled on certain regions of the object.…”