Multimodal similarity and categorization of novel, three-dimensional objects

Cooke, Theresa; Jäkel, Frank; Wallraven, Christian; Bülthoff, HH

doi:10.1016/j.neuropsychologia.2006.02.009

Cited by 69 publications

(95 citation statements)

References 47 publications

(69 reference statements)

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“…Due to the complexity of the parameter space, however, it was not possible to form a clear correlation between participants' descriptions to the weighting of the different dimensions. This is in contrast to the earlier experiments by Cooke et al [3] in which the questionnaires clearly contained descriptions relating to the physically manipulated parameters of shape and texture.…”

Section: Mds Output Mapscontrasting

confidence: 69%

“…In addition, we found that a change of the randomization procedure from "completely randomized" to "randomized by plane" allowed participants to rate similarity in a much more consistent fashion. Finally, from the high congruency between the visual and the haptic perceptual maps we conclude -taking also the earlier evidence from [3] into account -that visuo-haptic processing of similarity might be based on one underlying space which is accessible to both modalities.…”

Section: Discussionsupporting

confidence: 55%

“…This dissimilarity data were analyzed separately for each plane of the three-dimensional object space using the non-metric MDS algorithm (MDSCALE) in MATLAB. Non-metric MDS takes the rank-order of the pairwise proximity values into account and thus fits the human similarity data better than classical metric MDS [3].…”

Section: Analysis Of Similarity Datamentioning

confidence: 99%

“…Our study here follows the methodology laid out in prior studies by Cooke et al [5,4,6,3]. Using parametrically-defined objects, these studies have shown that humans can create haptic, visual, and visuo-haptic perceptual spaces of threedimensional (3D) objects that are highly congruent to the physical stimulus space.…”

Section: Introductionmentioning

confidence: 98%

“…Using human similarity ratings as input the output configuration can be interpreted as a map of objects in a psychological or perceptual space [17,1]. A wide range of multivariate stimuli was studied by psychologists using MDS techniques [11,10,17,3]. MDS provides information about the number of dimensions that are apparent to the participants and whether these dimensions correspond to the manipulated dimensions of the physical object space.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Analyzing Perceptual Representations of Complex, Parametrically-Defined Shapes Using MDS

Gaißert

Wallraven

Bülthoff

2008

Haptics: Perception, Devices and Scenarios

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Abstract. In this study we show that humans are able to form a perceptual space from a complex, three-dimensional shape space that is highly congruent to the physical object space no matter if the participants explore the objects visually or haptically. The physical object space consists of complex, shell-shaped objects which were generated by varying three shape parameters. In several psychophysical experiments participants explored the objects either visually or haptically and performed similarity ratings. Multidimensional scaling (MDS) analyses showed high congruency of the visual and haptic perceptual space to the physical object space. Additionally, visual and haptic exploration resulted in very similar MDS maps providing evidence for one shared perceptual space underlying both modalities.

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Section: Mds Output Mapscontrasting

confidence: 69%

Section: Discussionsupporting

confidence: 55%

Section: Analysis Of Similarity Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Analyzing Perceptual Representations of Complex, Parametrically-Defined Shapes Using MDS

Gaißert

Wallraven

Bülthoff

2008

Haptics: Perception, Devices and Scenarios

Self Cite

View full text Add to dashboard Cite

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“Can touch this”: Cross-modal shape categorization performance is associated with microstructural characteristics of white matter association pathways

2016

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Previous studies on visuo-haptic shape processing provide evidence that visually learned shape information can transfer to the haptic domain. In particular, recent neuroimaging studies have shown that visually learned novel objects that were haptically tested recruited parts of the ventral pathway from early visual cortex to the temporal lobe. Interestingly, in such tasks considerable individual variation in cross-modal transfer performance was observed. Here, we investigate whether this individual variation may be reflected in microstructural characteristics of white-matter (WM) pathways. We first trained participants on a fine-grained categorization task of novel shapes in the visual domain, followed by a haptic categorization test. We then correlated visual training-performance and haptic test-performance, as well as performance on a symbol-coding task requiring visuo-motor dexterity with microstructural properties of WM bundles potentially involved in visuo-haptic processing (the inferior longitudinal fasciculus [ILF], the fronto-temporal part of the superior longitudinal fasciculus [SLF ] and the vertical occipital fasciculus [VOF]). Behavioral results showed that haptic categorization performance was good on average but exhibited large inter-individual variability. Haptic performance also was correlated with performance in the symbol-coding task. WM analyses showed that fast visual learners exhibited higher fractional anisotropy (FA) in left SLF and left VOF. Importantly, haptic test-performance (and symbol-coding performance) correlated with FA in ILF and with axial diffusivity in SLF . These findings provide clear evidence that individual variation in visuo-haptic performance can be linked to microstructural characteristics of WM pathways. Hum Brain Mapp 38:842-854, 2017. © 2016 Wiley Periodicals, Inc.

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Children prefer pattern over shape during complex categorization

Cao

et al. 2020

PsyCh Journal

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Numerous studies have shown that children tend to view objects with similar shapes as having the same category. However, these studies often adopt simple categorization tasks and ignore the perceptual dimension (e.g., surface pattern of objects) that likely attract children's attention. The purpose of this study was to test how children categorize when pattern competes against shape. In Experiment 1a children were presented with a target and several testing objects that shared the same shape, color, or texture as the target. The results indicated that children preferentially selected the shape-sharing objects. However, when the texture was replaced by pattern (Experiment 1b), there was no significant difference between shape and pattern choices. When shared features were intricately overlapped between different pairs of stimuli (Experiment 2), children preferentially chose objects that shared patterns over those that shared shapes. These findings are the first to reveal children's pattern preference in categorization, supporting the view that children's categorization is flexible.

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Multimodal similarity and categorization of novel, three-dimensional objects

Cited by 69 publications

References 47 publications

Analyzing Perceptual Representations of Complex, Parametrically-Defined Shapes Using MDS

Analyzing Perceptual Representations of Complex, Parametrically-Defined Shapes Using MDS

“Can touch this”: Cross-modal shape categorization performance is associated with microstructural characteristics of white matter association pathways

Children prefer pattern over shape during complex categorization

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