Literature DB >> 19357346

The role of visuohaptic experience in visually perceived depth.

Yun-Xian Ho1, Sascha Serwe, Julia Trommershäuser, Laurence T Maloney, Michael S Landy.   

Abstract

Berkeley suggested that "touch educates vision," that is, haptic input may be used to calibrate visual cues to improve visual estimation of properties of the world. Here, we test whether haptic input may be used to "miseducate" vision, causing observers to rely more heavily on misleading visual cues. Human subjects compared the depth of two cylindrical bumps illuminated by light sources located at different positions relative to the surface. As in previous work using judgments of surface roughness, we find that observers judge bumps to have greater depth when the light source is located eccentric to the surface normal (i.e., when shadows are more salient). Following several sessions of visual judgments of depth, subjects then underwent visuohaptic training in which haptic feedback was artificially correlated with the "pseudocue" of shadow size and artificially decorrelated with disparity and texture. Although there were large individual differences, almost all observers demonstrated integration of haptic cues during visuohaptic training. For some observers, subsequent visual judgments of bump depth were unaffected by the training. However, for 5 of 12 observers, training significantly increased the weight given to pseudocues, causing subsequent visual estimates of shape to be less veridical. We conclude that haptic information can be used to reweight visual cues, putting more weight on misleading pseudocues, even when more trustworthy visual cues are available in the scene.

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Year:  2009        PMID: 19357346      PMCID: PMC2694117          DOI: 10.1152/jn.91129.2008

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  40 in total

1.  Perceptual depth synthesis in the visual system as revealed by selective adaptation.

Authors:  L Poom; E Börjesson
Journal:  J Exp Psychol Hum Percept Perform       Date:  1999-04       Impact factor: 3.332

Review 2.  The visual perception of 3D shape.

Authors:  James T Todd
Journal:  Trends Cogn Sci       Date:  2004-03       Impact factor: 20.229

3.  Slant from texture and disparity cues: optimal cue combination.

Authors:  James M Hillis; Simon J Watt; Michael S Landy; Martin S Banks
Journal:  J Vis       Date:  2004-12-01       Impact factor: 2.240

4.  Demonstration of cue recruitment: change in visual appearance by means of Pavlovian conditioning.

Authors:  Qi Haijiang; Jeffrey A Saunders; Rebecca W Stone; Benjamin T Backus
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-30       Impact factor: 11.205

5.  The combination of vision and touch depends on spatial proximity.

Authors:  Sergei Gepshtein; Johannes Burge; Marc O Ernst; Martin S Banks
Journal:  J Vis       Date:  2005-12-28       Impact factor: 2.240

6.  Cognitive salience of haptic object properties: role of modality-encoding bias.

Authors:  S J Lederman; C Summers; R L Klatzky
Journal:  Perception       Date:  1996       Impact factor: 1.490

Review 7.  Use of image-based information in judgments of surface-reflectance properties.

Authors:  S Nishida; M Shinya
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  1998-12       Impact factor: 2.129

8.  Robust and optimal use of information in stereo vision.

Authors:  J Porrill; J P Frisby; W J Adams; D Buckley
Journal:  Nature       Date:  1999-01-07       Impact factor: 49.962

9.  Relative availability of surface and object properties during early haptic processing.

Authors:  S J Lederman; R L Klatzky
Journal:  J Exp Psychol Hum Percept Perform       Date:  1997-12       Impact factor: 3.332

Review 10.  Measurement and modeling of depth cue combination: in defense of weak fusion.

Authors:  M S Landy; L T Maloney; E B Johnston; M Young
Journal:  Vision Res       Date:  1995-02       Impact factor: 1.886

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  6 in total

1.  Modality-specific attention attenuates visual-tactile integration and recalibration effects by reducing prior expectations of a common source for vision and touch.

Authors:  Stephanie Badde; Karen T Navarro; Michael S Landy
Journal:  Cognition       Date:  2020-02-06

2.  Visual influence on haptic torque perception.

Authors:  Yangqing Xu; Shélan O'Keefe; Satoru Suzuki; Steven L Franconeri
Journal:  Perception       Date:  2012       Impact factor: 1.490

3.  Direct and indirect haptic calibration of visual size judgments.

Authors:  Monica Gori; Alessandra Sciutti; David Burr; Giulio Sandini
Journal:  PLoS One       Date:  2011-10-13       Impact factor: 3.240

4.  Optimal visual-haptic integration with articulated tools.

Authors:  Chie Takahashi; Simon J Watt
Journal:  Exp Brain Res       Date:  2017-02-18       Impact factor: 1.972

5.  Seeing and hearing a word: combining eye and ear is more efficient than combining the parts of a word.

Authors:  Matthieu Dubois; David Poeppel; Denis G Pelli
Journal:  PLoS One       Date:  2013-05-29       Impact factor: 3.240

6.  Learning from vision-to-touch is different than learning from touch-to-vision.

Authors:  Dagmar A Wismeijer; Karl R Gegenfurtner; Knut Drewing
Journal:  Front Integr Neurosci       Date:  2012-11-20
  6 in total

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