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Journal articles on the topic 'Visuo-haptic'

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Author: Grafiati

Published: 10 December 2022

Last updated: 29 January 2023

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1

Yun, Sungryul, Suntak Park, Bongje Park, Seung Koo Park, Saekwang Nam, Ki-Uk Kyung, Harsha Prahlad, and Philip von Guggenberg. "Flexible Visuo-haptic Display." Journal of Korea Robotics Society 8, no. 3 (August 31, 2013): 156–63. http://dx.doi.org/10.7746/jkros.2013.8.3.156.

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2

Lunghi, Claudia, Luca Lo Verde, and David Alais. "Touch Accelerates Visual Awareness." i-Perception 8, no. 1 (January 2017): 204166951668698. http://dx.doi.org/10.1177/2041669516686986.

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To efficiently interact with the external environment, our nervous system combines information arising from different sensory modalities. Recent evidence suggests that cross-modal interactions can be automatic and even unconscious, reflecting the ecological relevance of cross-modal processing. Here, we use continuous flash suppression (CFS) to directly investigate whether haptic signals can interact with visual signals outside of visual awareness. We measured suppression durations of visual gratings rendered invisible by CFS either during visual stimulation alone or during visuo-haptic stimulation. We found that active exploration of a haptic grating congruent in orientation with the suppressed visual grating reduced suppression durations both compared with visual-only stimulation and to incongruent visuo-haptic stimulation. We also found that the facilitatory effect of touch on visual suppression disappeared when the visual and haptic gratings were mismatched in either spatial frequency or orientation. Together, these results demonstrate that congruent touch can accelerate the rise to consciousness of a suppressed visual stimulus and that this unconscious cross-modal interaction depends on visuo-haptic congruency. Furthermore, since CFS suppression is thought to occur early in visual cortical processing, our data reinforce the evidence suggesting that visuo-haptic interactions can occur at the earliest stages of cortical processing.

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3

Noguez, Julieta, Luis Neri, Víctor Robledo-Rella, Rosa María Guadalupe García-Castelán, Andres Gonzalez-Nucamendi, David Escobar-Castillejos, and Arturo Molina. "VIS-HAPT: A Methodology Proposal to Develop Visuo-Haptic Environments in Education 4.0." Future Internet 13, no. 10 (October 5, 2021): 255. http://dx.doi.org/10.3390/fi13100255.

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Education 4.0 demands a flexible combination of digital literacy, critical thinking, and problem-solving in educational settings linked to real-world scenarios. Haptic technology incorporates the sense of touch into a visual simulator to enrich the user’s sensory experience, thus supporting a meaningful learning process. After developing several visuo-haptic simulators, our team identified serious difficulties and important challenges to achieve successful learning environments within the framework of Education 4.0. This paper presents the VIS-HAPT methodology for developing realistic visuo-haptic scenarios to promote the learning of science and physics concepts for engineering students. This methodology consists of four stages that integrate different aspects and processes leading to meaningful learning experiences for students. The different processes that must be carried out through the different stages, the difficulties to overcome and recommendations on how to face them are all described herein. The results are encouraging since a significant decrease (of approximately 40%) in the development and implementation times was obtained as compared with previous efforts. The quality of the visuo-haptic environments was also enhanced. Student perceptions of the benefits of using visuo-haptic simulators to enhance their understanding of physics concepts also improved after using the proposed methodology. The incorporation of haptic technologies in higher education settings will certainly foster better student performance in subsequent real environments related to Industry 4.0.

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4

Bonanni, Ugo, Melanie Montagnol, and Nadia Magnenat-Thalmann. "Multilayered visuo-haptic hair simulation." Visual Computer 24, no. 10 (August 13, 2008): 901–10. http://dx.doi.org/10.1007/s00371-008-0288-y.

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5

Escobar-Castillejos, David, Julieta Noguez, Roberto A. Cárdenas-Ovando, Luis Neri, Andres Gonzalez-Nucamendi, and Víctor Robledo-Rella. "Using Game Engines for Visuo-Haptic Learning Simulations." Applied Sciences 10, no. 13 (June 30, 2020): 4553. http://dx.doi.org/10.3390/app10134553.

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Technological advances have been the main driver of enhancing human–computer interaction and interactive simulations have experienced exponential growth in recent years. However, visual and auditory channels are usually the only ones considered for educational simulations even though the sense of touch is also an important one. Touch allows us to recognize and interact with our surroundings. A common way to develop a visuo-haptic simulation in the area of interactive systems is by using a graphic and physics-based engine orchestrated with a haptic rendering framework. However, new solutions, such as professional game engines, have enabled the development of high-quality applications in much shorter time. In this paper, a novel architecture for fast development of interactive visuo-haptic applications in game engines is discussed. To validate the proposed architecture, the Haptic Device Integration for Unity (HaDIU) plugin was implemented. Simulations were implemented to verify the operability of haptic devices. Each scenario was properly modelled and has different haptic objectives. Furthermore, to validate that the usage of this approach provides better visualizations than an existing single purpose application, an experimental study was performed. Results suggest that by using this approach faster development of interactive visuo-haptic simulators can be achieved than using traditional techniques.

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6

van Beek, Femke E., Irene A. Kuling, Eli Brenner, Wouter M. Bergmann Tiest, and Astrid M. L. Kappers. "Correcting for Visuo-Haptic Biases in 3D Haptic Guidance." PLOS ONE 11, no. 7 (July 20, 2016): e0158709. http://dx.doi.org/10.1371/journal.pone.0158709.

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7

Camponogara, Ivan, and Robert Volcic. "Grasping adjustments to haptic, visual, and visuo-haptic object perturbations are contingent on the sensory modality." Journal of Neurophysiology 122, no. 6 (December 1, 2019): 2614–20. http://dx.doi.org/10.1152/jn.00452.2019.

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Haptics provides information about the size and position of a handheld object. However, it is still unknown how haptics contributes to action correction if a sudden perturbation causes a change in the configuration of the handheld object. In this study, we have occasionally perturbed the size of an object that was the target of a right-hand reach-to-grasp movement. In some cases, participants were holding the target object with their left hand, which provided haptic information about the object perturbation. We compared the corrective responses to perturbations in three different sensory conditions: visual (participants had full vision of the object, but haptic information from the left hand was prevented), haptic (object size was sensed by the left hand and vision was prevented), and visuo-haptic (both visual and haptic information were available throughout the movement). We found that haptic inputs evoked faster contralateral corrections than visual inputs, although actions in haptic and visual conditions were similar in movement duration. Strikingly, the corrective responses in the visuo-haptic condition were as fast as those found in the haptic condition, a result that is contrary to that predicted by simple summation of unisensory signals. These results suggest the existence of a haptomotor reflex that can trigger automatic and efficient grasping corrections of the contralateral hand that are faster than those initiated by the well-known visuomotor reflex and the tactile-motor reflex. NEW & NOTEWORTHY We show that online grip aperture corrections during grasping actions are contingent on the sensory modality used to detect the object perturbation. We found that sensing perturbations with the contralateral hand only (haptics) leads to faster action corrections than when object perturbations are only visually sensed. Moreover, corrections following visuo-haptic perturbations were as fast as those to haptic perturbations. Thus a haptomotor reflex triggers faster automatic responses than the visuomotor reflex.

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8

Billino, Jutta, and Knut Drewing. "Age Effects on Visuo-Haptic Length Discrimination: Evidence for Optimal Integration of Senses in Senior Adults." Multisensory Research 31, no. 3-4 (2018): 273–300. http://dx.doi.org/10.1163/22134808-00002601.

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Demographic changes in most developed societies have fostered research on functional aging. While cognitive changes have been characterized elaborately, understanding of perceptual aging lacks behind. We investigated age effects on the mechanisms of how multiple sources of sensory information are merged into a common percept. We studied visuo-haptic integration in a length discrimination task. A total of 24 young (20–25 years) and 27 senior (69–77 years) adults compared standard stimuli to appropriate sets of comparison stimuli. Standard stimuli were explored under visual, haptic, or visuo-haptic conditions. The task procedure allowed introducing an intersensory conflict by anamorphic lenses. Comparison stimuli were exclusively explored haptically. We derived psychometric functions for each condition, determining points of subjective equality and discrimination thresholds. We notably evaluated visuo-haptic perception by different models of multisensory processing, i.e., the Maximum-Likelihood-Estimate model of optimal cue integration, a suboptimal integration model, and a cue switching model. Our results support robust visuo-haptic integration across the adult lifespan. We found suboptimal weighted averaging of sensory sources in young adults, however, senior adults exploited differential sensory reliabilities more efficiently to optimize thresholds. Indeed, evaluation of the MLE model indicates that young adults underweighted visual cues by more than 30%; in contrast, visual weights of senior adults deviated only by about 3% from predictions. We suggest that close to optimal multisensory integration might contribute to successful compensation for age-related sensory losses and provides a critical resource. Differentiation between multisensory integration during healthy aging and age-related pathological challenges on the sensory systems awaits further exploration.

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9

Rustler, Lukas, Jens Lundell, Jan Kristof Behrens, Ville Kyrki, and Matej Hoffmann. "Active Visuo-Haptic Object Shape Completion." IEEE Robotics and Automation Letters 7, no. 2 (April 2022): 5254–61. http://dx.doi.org/10.1109/lra.2022.3152975.

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10

Yun, Sungryul, Suntak Park, Bongjae Park, Seung Koo Park, Harsha Prahlad, Philip Von Guggenberg, and Ki-Uk Kyung. "Polymer-Based Flexible Visuo-Haptic Display." IEEE/ASME Transactions on Mechatronics 19, no. 4 (August 2014): 1463–69. http://dx.doi.org/10.1109/tmech.2013.2292956.

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11

Caldiran, Ozan, Hong Z. Tan, and Cagatay Basdogan. "Visuo-Haptic Discrimination of Viscoelastic Materials." IEEE Transactions on Haptics 12, no. 4 (October 1, 2019): 438–50. http://dx.doi.org/10.1109/toh.2019.2924212.

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12

Eck, Ulrich, Frieder Pankratz, Christian Sandor, Gudrun Klinker, and Hamid Laga. "Precise Haptic Device Co-Location for Visuo-Haptic Augmented Reality." IEEE Transactions on Visualization and Computer Graphics 21, no. 12 (December 1, 2015): 1427–41. http://dx.doi.org/10.1109/tvcg.2015.2480087.

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13

Kaas, Amanda L., Hanneke I. van Mier, Johan Lataster, Mirella Fingal, and Alexander T. Sack. "The effect of visuo-haptic congruency on haptic spatial matching." Experimental Brain Research 183, no. 1 (July 12, 2007): 75–85. http://dx.doi.org/10.1007/s00221-007-1026-9.

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14

ISAMI, Chiari, Hiroki YAMAMOTO, and Sachiko SUKIGARA. "Visuo-haptic Cross-modal Recognition for Fabrics." Journal of Textile Engineering 68, no. 2 (April 15, 2022): 21–30. http://dx.doi.org/10.4188/jte.68.21.

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15

Kwon, Oh-Sang, Philip Jaekl, Olga Pikul, David Knill, and Duje Tadin. "Visuo-haptic cue integration in older adults." Journal of Vision 16, no. 12 (September 1, 2016): 1196. http://dx.doi.org/10.1167/16.12.1196.

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16

Zariwny, Andréa, Patricia Stewart, and Marc Dryer. "Visuo-haptic learning of the inner ear." ACM SIGCAS Computers and Society 44, no. 2 (July 2014): 5–7. http://dx.doi.org/10.1145/2656870.2656871.

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17

Billino, J., and K. Drewing. "Age-related differences in visuo-haptic integration." Journal of Vision 14, no. 10 (August 22, 2014): 233. http://dx.doi.org/10.1167/14.10.233.

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18

Szubielska, Magdalena, and Ewa Niestorowicz. "Seeing Suppresses Haptic Pleasure While Perceiving Contemporary Art." i-Perception 11, no. 3 (May 2020): 204166952093294. http://dx.doi.org/10.1177/2041669520932948.

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To date, haptic aesthetic processing has been tested outside the field of real works of art. By providing the context of a contemporary art exhibition designed to be touched, we studied haptic pleasure towards artworks. In line with our hypothesis, seeing affected the evaluation of haptic pleasure which was higher in the blindfolded-tactile than visuo-tactile condition. Thus, seeing seems to impede the tactile processing of artworks.

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19

Bae, Yoosung, Baekdong Cha, and Jeha Ryu. "Calibration and Evaluation for Visuo-haptic Collocation in Haptic Augmented Virtuality Systems." International Journal of Control, Automation and Systems 18, no. 5 (December 26, 2019): 1335–42. http://dx.doi.org/10.1007/s12555-018-0882-3.

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20

Neri, Luis, Víctor Robledo-Rella, Rosa María Guadalupe García-Castelán, Andres Gonzalez-Nucamendi, David Escobar-Castillejos, and Julieta Noguez. "Visuo-Haptic Simulations to Understand the Dependence of Electric Forces on Distance." Applied Sciences 10, no. 20 (October 15, 2020): 7190. http://dx.doi.org/10.3390/app10207190.

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In this paper, the potential of visuo-haptic simulators to help engineering students to understand the nature of electric forces between different electric charge distributions is addressed. Three visuo-haptic simulators were designed to perceive the attractive–repulsive behavior as well as the dependence on distance of electrical forces for: (a) point charge, (b) line charge, and (c) plane charge. Design elements were incorporated to improve the 3D perception of the simulators. A sample of N = 111 engineering students practiced with the simulators: 87 enrolled in an Electricity and Magnetism course and 24 enrolled in a more advanced Electromagnetic Fields course. Pre-test and Post-test were applied before and after working with the simulators and average learning gains were obtained. t-tests were performed to determine the statistical significance of the results. Significant learning gains were obtained for the comprehension of the force dependence in the case of line charge and plane charge, but not for the point charge, due to the fact that most students started with very high Pre-test scores in this last case. These results suggest that the use of visuo-haptic simulators may help students to better identify the dependence of electric forces on distance. It was also observed that the potential effect of improving the recognition of electric interactions was higher among students with lower previous familiarity with these topics, as compared to more advanced students. Through exit surveys, it was found that the students liked very much the haptic activity and that it sparked their interest in learning new physical concepts.

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21

Lécuyer, Anatole. "Simulating Haptic Feedback Using Vision: A Survey of Research and Applications of Pseudo-Haptic Feedback." Presence: Teleoperators and Virtual Environments 18, no. 1 (February 1, 2009): 39–53. http://dx.doi.org/10.1162/pres.18.1.39.

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This paper presents a survey of the main results obtained in the field of “pseudo-haptic feedback”: a technique meant to simulate haptic sensations in virtual environments using visual feedback and properties of human visuo-haptic perception. Pseudo-haptic feedback uses vision to distort haptic perception and verges on haptic illusions. Pseudo-haptic feedback has been used to simulate various haptic properties such as the stiffness of a virtual spring, the texture of an image, or the mass of a virtual object. This paper describes the several experiments in which these haptic properties were simulated. It assesses the definition and the properties of pseudo-haptic feedback. It also describes several virtual reality applications in which pseudo-haptic feedback has been successfully implemented, such as a virtual environment for vocational training of milling machine operations, or a medical simulator for training in regional anesthesia procedures.

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22

Aygün, Mehmet Murat, Yusuf Çağrı Öğüt, Hulusi Baysal, and Yiğit Taşcıoğlu. "Visuo-Haptic Mixed Reality Simulation Using Unbound Handheld Tools." Applied Sciences 10, no. 15 (August 3, 2020): 5344. http://dx.doi.org/10.3390/app10155344.

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Visuo-haptic mixed reality (VHMR) adds virtual objects to a real scene and enables users to see and also touch them via a see-through display and a haptic device. Most studies with kinesthetic feedback use general-purpose haptic devices, which require the user to continuously hold an attached stylus. This approach constrains users to the mechanical limits of the device even when it is not needed. In this paper, we propose a novel VHMR concept with an encountered-type haptic display (ETHD), which consists of a precision hexapod positioner and a six-axis force/torque transducer. The main contribution is that the users work with unbound real-life tools with tracking markers. ETHD’s end-effector remains inside the virtual object and follows the tooltip to engage only during an interaction. We have developed a simulation setup and experimentally evaluated the relative accuracy and synchronization of the three major processes, namely tool tracking, haptic rendering, and visual rendering. The experiments successfully build-up to a simple simulation scenario where a tennis ball with a fixed center is deformed by the user.

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23

Gerbino, Walter, Joanna Jarmolowska, and Carlo Fantoni. "Visuo-Haptic 3D Interpolation Shapes Amodally Completed Angles." Journal of Vision 16, no. 12 (September 1, 2016): 1195. http://dx.doi.org/10.1167/16.12.1195.

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24

Burge, J., A. R. Girshick, and M. S. Banks. "Visuo-haptic adaptation: the role of relative reliability." Journal of Vision 7, no. 9 (March 23, 2010): 67. http://dx.doi.org/10.1167/7.9.67.

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25

Toprak, Sibel, Nicolás Navarro-Guerrero, and Stefan Wermter. "Evaluating Integration Strategies for Visuo-Haptic Object Recognition." Cognitive Computation 10, no. 3 (December 28, 2017): 408–25. http://dx.doi.org/10.1007/s12559-017-9536-7.

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26

Alt, Nicolas, Clemens Schuwerk, Stefan Lochbrunner, and Gerd Denninger. "RoVi, Robotic manipulator with visuo-haptic sensing, ERC." Impact 2018, no. 11 (December 26, 2018): 45–47. http://dx.doi.org/10.21820/23987073.2018.11.45.

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27

Stilla, Randall, and K. Sathian. "Selective visuo-haptic processing of shape and texture." Human Brain Mapping 29, no. 10 (October 2008): 1123–38. http://dx.doi.org/10.1002/hbm.20456.

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28

Kuling, Irene A., Eli Brenner, and Jeroen B. J. Smeets. "Errors in visuo-haptic and haptic-haptic location matching are stable over long periods of time." Acta Psychologica 166 (May 2016): 31–36. http://dx.doi.org/10.1016/j.actpsy.2016.03.011.

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29

Camponogara, Ivan, and Robert Volcic. "On-line adjustments of grasping movements under visual, haptic and visuo-haptic guidance." Journal of Vision 17, no. 10 (August 31, 2017): 460. http://dx.doi.org/10.1167/17.10.460.

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30

Hosang, Stephanie, Jillian Chan, Shirin Davarpanah Jazi, and Matthew Heath. "Grasping a 2D object: terminal haptic feedback supports an absolute visuo-haptic calibration." Experimental Brain Research 234, no. 4 (December 17, 2015): 945–54. http://dx.doi.org/10.1007/s00221-015-4521-4.

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31

Höglund, Thomas, Jarmo Alander, and Timo Mantere. "A survey of telerobotic surface finishing." Open Engineering 8, no. 1 (May 31, 2018): 156–61. http://dx.doi.org/10.1515/eng-2018-0018.

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Abstract This is a survey of research published on the subjects of telerobotics, haptic feedback, and mixed reality applied to surface finishing. The survey especially focuses on how visuo-haptic feedback can be used to improve a grinding process using a remote manipulator or robot. The benefits of teleoperation and reasons for using haptic feedback are presented. The use of genetic algorithms for optimizing haptic sensing is briefly discussed. Ways of augmenting the operator’s vision are described. Visual feedback can be used to find defects and analyze the quality of the surface resulting from the surface finishing process. Visual cues can also be used to aid a human operator in manipulating a robot precisely and avoiding collisions.

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32

Kim, Sunah, Ryan A. Stevenson, and Thomas W. James. "Visuo-haptic Neuronal Convergence Demonstrated with an Inversely Effective Pattern of BOLD Activation." Journal of Cognitive Neuroscience 24, no. 4 (April 2012): 830–42. http://dx.doi.org/10.1162/jocn_a_00176.

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We investigated the neural substrates involved in visuo-haptic neuronal convergence using an additive-factors design in combination with fMRI. Stimuli were explored under three sensory modality conditions: viewing the object through a mirror without touching (V), touching the object with eyes closed (H), or simultaneously viewing and touching the object (VH). This modality factor was crossed with a task difficulty factor, which had two levels. On the basis of an idea similar to the principle of inverse effectiveness, we predicted that increasing difficulty would increase the relative level of multisensory gain in brain regions where visual and haptic sensory inputs converged. An ROI analysis focused on the lateral occipital tactile–visual area found evidence of inverse effectiveness in the left lateral occipital tactile–visual area, but not in the right. A whole-brain analysis also found evidence for the same pattern in the anterior aspect of the intraparietal sulcus, the premotor cortex, and the posterior insula, all in the left hemisphere. In conclusion, this study is the first to demonstrate visuo-haptic neuronal convergence based on an inversely effective pattern of brain activation.

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33

Lee, Yongseok, Somang Lee, and Dongjun Lee. "Wearable Haptic Device for Stiffness Rendering of Virtual Objects in Augmented Reality." Applied Sciences 11, no. 15 (July 28, 2021): 6932. http://dx.doi.org/10.3390/app11156932.

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We propose a novel wearable haptic device that can provide kinesthetic haptic feedback for stiffness rendering of virtual objects in augmented reality (AR). Rendering stiffness of objects using haptic feedback is crucial for realistic finger-based object manipulation, yet challenging particularly in AR due to the co-presence of a real hand, haptic device, and rendered AR objects in the scenes. By adopting passive actuation with a tendon-based transmission mechanism, the proposed haptic device can generate kinesthetic feedback strong enough for immersive manipulation and prevention of inter-penetration in a small-form-factor, while maximizing the wearability and minimizing the occlusion in AR usage. A selective locking module is adopted in the device to allow for the rendering of the elasticity of objects. We perform an experimental study of two-finger grasping to verify the efficacy of the proposed haptic device for finger-based manipulation in AR. We also quantitatively compare/articulate the effects of different types of feedbacks across haptic and visual sense (i.e., kinesthetic haptic feedback, vibrotactile haptic feedback, and visuo-haptic feedback) for stiffness rendering of virtual objects in AR for the first time.

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34

Shin, Haeji, Yuna Kwak, and Chai-Youn Kim. "Shape congruence modulates visuo-haptic interactions during binocular rivalry." Journal of Vision 21, no. 9 (September 27, 2021): 2903. http://dx.doi.org/10.1167/jov.21.9.2903.

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35

Desmarais, Geneviève, Melissa Meade, Taylor Wells, and Mélanie Nadeau. "Visuo-haptic integration in object identification using novel objects." Attention, Perception, & Psychophysics 79, no. 8 (July 25, 2017): 2478–98. http://dx.doi.org/10.3758/s13414-017-1382-x.

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36

Cosco, F., C. Garre, F. Bruno, M. Muzzupappa, and M. A. Otaduy. "Visuo-Haptic Mixed Reality with Unobstructed Tool-Hand Integration." IEEE Transactions on Visualization and Computer Graphics 19, no. 1 (January 2013): 159–72. http://dx.doi.org/10.1109/tvcg.2012.107.

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37

Wang, Dangxiao, Yuru Zhang, Wanlin Zhou, Hui Zhao, and Zhongyuan Chen. "Collocation Accuracy of Visuo-Haptic System: Metrics and Calibration." IEEE Transactions on Haptics 4, no. 4 (October 2011): 321–26. http://dx.doi.org/10.1109/toh.2011.17.

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38

Volcic, Robert, and Nadeen Alalami. "The role of proprioception in visuo-haptic size perception." Journal of Vision 17, no. 10 (August 31, 2017): 360. http://dx.doi.org/10.1167/17.10.360.

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39

Lacey, Simon, Jonathan B. Lin, and K. Sathian. "Object and spatial imagery dimensions in visuo-haptic representations." Experimental Brain Research 213, no. 2-3 (March 19, 2011): 267–73. http://dx.doi.org/10.1007/s00221-011-2623-1.

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40

Bluteau, Jérémy, Sabine Coquillart, Yohan Payan, and Edouard Gentaz. "Haptic Guidance Improves the Visuo-Manual Tracking of Trajectories." PLoS ONE 3, no. 3 (March 12, 2008): e1775. http://dx.doi.org/10.1371/journal.pone.0001775.

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41

Yalachkov, Yavor, Jochen Kaiser, Oliver Doehrmann, and Marcus J. Naumer. "Enhanced visuo-haptic integration for the non-dominant hand." Brain Research 1614 (July 2015): 75–85. http://dx.doi.org/10.1016/j.brainres.2015.04.020.

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42

Chan, Jillian, and Matthew Heath. "Haptic feedback attenuates illusory bias in pantomime-grasping: evidence for a visuo-haptic calibration." Experimental Brain Research 235, no. 4 (January 9, 2017): 1041–51. http://dx.doi.org/10.1007/s00221-016-4860-9.

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43

Kuling, Irene A., Femke E. van Beek, Winfred Mugge, and Jeroen B. J. Smeets. "Adjusting Haptic Guidance to Idiosyncratic Visuo-Haptic Matching Errors Improves Perceptual Consistency in Reaching." IEEE Transactions on Human-Machine Systems 46, no. 6 (December 2016): 921–25. http://dx.doi.org/10.1109/thms.2016.2604571.

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44

Lo Verde, Luca, Maria Concetta Morrone, and Claudia Lunghi. "Early Cross-modal Plasticity in Adults." Journal of Cognitive Neuroscience 29, no. 3 (March 2017): 520–29. http://dx.doi.org/10.1162/jocn_a_01067.

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It is known that, after a prolonged period of visual deprivation, the adult visual cortex can be recruited for nonvisual processing, reflecting cross-modal plasticity. Here, we investigated whether cross-modal plasticity can occur at short timescales in the typical adult brain by comparing the interaction between vision and touch during binocular rivalry before and after a brief period of monocular deprivation, which strongly alters ocular balance favoring the deprived eye. While viewing dichoptically two gratings of orthogonal orientation, participants were asked to actively explore a haptic grating congruent in orientation to one of the two rivalrous stimuli. We repeated this procedure before and after 150 min of monocular deprivation. We first confirmed that haptic stimulation interacted with vision during rivalry promoting dominance of the congruent visuo-haptic stimulus and that monocular deprivation increased the deprived eye and decreased the nondeprived eye dominance. Interestingly, after deprivation, we found that the effect of touch did not change for the nondeprived eye, whereas it disappeared for the deprived eye, which was potentiated after deprivation. The absence of visuo-haptic interaction for the deprived eye lasted for over 1 hr and was not attributable to a masking induced by the stronger response of the deprived eye as confirmed by a control experiment. Taken together, our results demonstrate that the adult human visual cortex retains a high degree of cross-modal plasticity, which can occur even at very short timescales.

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Jeon, Seokhee, and Seungmoon Choi. "Haptic Augmented Reality: Taxonomy and an Example of Stiffness Modulation." Presence: Teleoperators and Virtual Environments 18, no. 5 (October 1, 2009): 387–408. http://dx.doi.org/10.1162/pres.18.5.387.

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Haptic augmented reality (AR) enables the user to feel a real environment augmented with synthetic haptic stimuli. This article addresses two important topics in haptic AR. First, a new taxonomy for haptic AR is established based on a composite visuo-haptic reality-virtuality continuum extended from the conventional continuum for visual AR. Previous studies related to haptic AR are reviewed and classified using the composite continuum, and associated research issues are discussed. Second, the feasibility of haptically modulating the feel of a real object with the aid of virtual force feedback is investigated, with the stiffness as a goal haptic property. All required algorithms for contact detection, stiffness modulation, and force control are developed, and their individual performances are thoroughly evaluated. The resulting haptic AR system is also assessed in a psychophysical experiment, demonstrating its competent perceptual performance for stiffness modulation. To our knowledge, this work is among the first efforts in haptic AR for systematic augmentation of real object attributes with virtual forces, and it serves as an initial building block toward a general haptic AR system. Finally, several research issues identified during the feasibility study are introduced, with the aim of eliciting more research interest in this exciting yet unexplored area.

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Matsumiya, Kazumichi, and Satoshi Shioiri. "Effects of a Seen Hand on Visuo-Haptic Motion Processing." i-Perception 2, no. 4 (May 2011): 411. http://dx.doi.org/10.1068/ic411.

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Amedi, Amir, Rafael Malach, Talma Hendler, Sharon Peled, and Ehud Zohary. "Visuo-haptic object-related activation in the ventral visual pathway." Nature Neuroscience 4, no. 3 (March 2001): 324–30. http://dx.doi.org/10.1038/85201.

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Fortmeier, Dirk, Matthias Wilms, Andre Mastmeyer, and Heinz Handels. "Direct Visuo-Haptic 4D Volume Rendering Using Respiratory Motion Models." IEEE Transactions on Haptics 8, no. 4 (October 1, 2015): 371–83. http://dx.doi.org/10.1109/toh.2015.2445768.

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Risso, G., R. M. Martoni, M. C. Cavallini, S. Erzegovesi, and G. Baud-Bovy. "Visuo-Haptic information processing in patients suffering of anorexia nervosa." European Psychiatry 41, S1 (April 2017): S558—S559. http://dx.doi.org/10.1016/j.eurpsy.2017.01.805.

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IntroductionSeveral studies recently investigated how Anorexia Nervosa patients (ANp) process multimodal information. Longo (2015) hypothesized that ANp might be less reliant on visual perception of bodies than healthy controls (HC). Case et al. showed that processing of multimodal information might be disrupted in ANp. Literature lacks of studies that measure precisely and compare directly the contributions of each sensory input.ObjectiveTo investigate the integration of visual and haptic inputs in ANp compared with HC and measure the weight of each input.MethodWe used a visuo-haptic integration task with a setup adapted from Gori et al. (2008) to measure each sensory input's when judging the size of a cube according to Maximum Likelihood Estimation theory which describes the optimal multimodal integration behaviour (Ernst and Banks, 2002). Fifteen ANp and 16 HCs were recruited.ResultsRegardless the group, we found considerable individual variability about the integration processes; moreover, many participants did not integrate optimally. Correlation analysis suggested that ANp rely less on visual information then HC.ConclusionsDespite using a setup previously validated with children, the observation that many HC did not integrate optimally is not in line with the results of previous studies, making it difficult the comparison with the AN group. The setup might not be adapted to adults and it needs to be improved. Our study shows for the first time how it might be possible to measure and compare directly the contribution of two different sensory modalities. This could provide precious information to deeply investigate the pathology.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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Lacey, Simon, Marisa Pappas, Alexandra Kreps, Kevin Lee, and K. Sathian. "Perceptual learning of view-independence in visuo-haptic object representations." Experimental Brain Research 198, no. 2-3 (May 31, 2009): 329–37. http://dx.doi.org/10.1007/s00221-009-1856-8.

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