Visual and haptic integration in the estimation of softness of deformable objects
Reads0
Chats0
TLDR
The visuo-haptic integration of softness information is biased toward vision, rather than being optimal, and might even be guided by a fixed weighting scheme.Abstract:
Softness perception intrinsically relies on haptic information. However, through everyday experiences we learn correspondences between felt softness and the visual effects of exploratory movements that are executed to feel softness. Here, we studied how visual and haptic information is integrated to assess the softness of deformable objects. Participants discriminated between the softness of two softer or two harder objects using only-visual, only-haptic or both visual and haptic information. We assessed the reliabilities of the softness judgments using the method of constant stimuli. In visuo-haptic trials, discrepancies between the two senses' information allowed us to measure the contribution of the individual senses to the judgments. Visual information (finger movement and object deformation) was simulated using computer graphics; input in visual trials was taken from previous visuo-haptic trials. Participants were able to infer softness from vision alone, and vision considerably contributed to bisensory judgments (∼35%). The visual contribution was higher than predicted from models of optimal integration (senses are weighted according to their reliabilities). Bisensory judgments were less reliable than predicted from optimal integration. We conclude that the visuo-haptic integration of softness information is biased toward vision, rather than being optimal, and might even be guided by a fixed weighting scheme.read more
Citations
More filters
Journal ArticleDOI
Inferring the stiffness of unfamiliar objects from optical, shape, and motion cues
TL;DR: The findings suggest participants integrate shape, motion, and optical cues to infer stiffness, with optical cues playing a major role for the range of stimuli.
Journal ArticleDOI
If perception is probabilistic, why does it not seem probabilistic?
TL;DR: The best Bayesian approach to this problem does not require probabilistic representation, and the standard solution in terms of sampling runs into the problem that sampling is an account of perceptual decision rather than perception.
Journal ArticleDOI
Impact of Different Sensory Stimuli on Presence in Credible Virtual Environments
TL;DR: The results indicated a significant increase in the involvement subscale when all multisensory stimuli were delivered, and found a trend where the use of passive haptics by itself has a positive impact on presence.
Journal ArticleDOI
Touch influences perceived gloss
TL;DR: It is shown that touch modulates gloss perception: objects that feel slippery are perceived as glossier (more shiny), and the sensory system treats visual gloss and haptic friction as correlated cues to surface material.
Journal ArticleDOI
Visual delay affects force scaling and weight perception during object lifting in virtual reality
TL;DR: The results show for the first time how visuo-haptic integration is processed at discrete sensorimotor events for controlling object-lifting dynamics and further highlight the organization of multisensory signals online for controlling action and perception.
References
More filters
Journal ArticleDOI
Humans integrate visual and haptic information in a statistically optimal fashion.
TL;DR: The nervous system seems to combine visual and haptic information in a fashion that is similar to a maximum-likelihood integrator, and this model behaved very similarly to humans in a visual–haptic task.
Journal ArticleDOI
The psychometric function: I. Fitting, sampling, and goodness of fit
Felix A. Wichmann,N. Jeremy Hill +1 more
TL;DR: An integrated approach to fitting psychometric functions, assessing the goodness of fit, and providing confidence intervals for the function’s parameters and other estimates derived from them, for the purposes of hypothesis testing is described.
Book
The Merging of the Senses
Barry E. Stein,M. Alex Meredith +1 more
TL;DR: The authors draw on their own experiments to illustrate how sensory inputs converge on individual neurons in different areas of the brain, how these neurons integrate their inputs, the principles by which this integration occurs, and what this may mean for perception and behavior.
Journal ArticleDOI
The Ventriloquist Effect Results from Near-Optimal Bimodal Integration
David Alais,David C. Burr +1 more
TL;DR: This study investigates spatial localization of audio-visual stimuli and finds that for severely blurred visual stimuli, the reverse holds: sound captures vision while for less blurred stimuli, neither sense dominates and perception follows the mean position.
Journal ArticleDOI
Merging the senses into a robust percept
TL;DR: It is shown that, depending on the type of information, different combination and integration strategies are used and that prior knowledge is often required for interpreting the sensory signals.