Dimensions of Tactual Impressions (1)

Yoshida, Masaaki

doi:10.4992/psycholres1954.10.123

Cited by 72 publications

(35 citation statements)

References 5 publications

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“…Following an approach originated by Yoshida (1968), multidimensional scaling (MDS) techniques revealed that a primary dimension of touch perception is RoughSmoothness (Bergmann Tiest & Kappers, 2006;Hollins, Bensmaïa, Karlof, & Young, 2000;Hollins, Faldowski, Rao, & Young, 1993;Na & Kim, 2001;Picard, Dacremont, Valentin, & Giboreau, 2003). The enduring popularity of roughness as a psychophysical measure is consistent with this finding (Gescheider, Bolanowski, Greenfield, & Brunette, 2005;Klatzky & Lederman, 1999;Lederman, 1974;Lederman & Taylor, 1972;Major, 1895;Ripin & Lazarsfeld, 1937;Smith, Chapman, Deslandes, Langlais, & Thibodeau, 2002).…”

Section: Introductionsupporting

confidence: 71%

The development and validation of sensory and emotional scales of touch perception

Guest

Dessirier

Mehrabyan

et al. 2010

Atten Percept Psychophys

167

199

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No comprehensive language exists that describes the experience of touch. Three experiments were conducted to take steps toward establishing a touch lexicon. In Experiment I, 49 participants rated how well 262 adjectives described sensory, emotional and evaluative aspects of touch. In Experiment II, participants rated pairwise dissimilarities of the most descriptive words of the set. Multidimensional scaling (MDS) solutions representing semanticperceptual spaces underlying the words resulted in a touch perception task (TPT) consisting of 26 'sensory' attributes (e.g., bumpiness) and 14 'emotional' attributes (e.g., pleasurable). In Experiment III, 40 participants used the TPT to rate unseen textured materials that were moved actively or received passively against the index fingerpad, volar forearm, and two underarm sites. MDS confirmed similar semantic-perceptual structures in Experiments II and III. Factor analysis of Experiment III data decomposed the sensory attribute ratings into factors labeled Roughness, Slip, Pile and Firmness, and the emotional attribute ratings into Comfort and Arousal factors. Factor scores varied among materials and sites. Greater intensity of sensory and emotional responses were reported when participants passively, as opposed to actively, received stimuli. The sensitivity of the TPT in identifying body site and mode of touch-related perceptual differences affirms the validity and utility of this novel linguistic/perceptual tool.

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Section: Introductionsupporting

confidence: 71%

The development and validation of sensory and emotional scales of touch perception

Guest

Dessirier

Mehrabyan

et al. 2010

Atten Percept Psychophys

167

199

View full text Add to dashboard Cite

show abstract

“…Participants evaluated each of the 24 textures only once using five-point scales anchored in terms of adjective pairs, such as "rough-smooth" without time restriction. The adjective pairs used in the experiments were chosen in accordance with studies on visual and haptic perception [11][12][13][14][15][16][17][18]. We provided both English and Japanese terms on the evaluation sheets.…”

Section: Task 1: Sensory Factors Of Textures 311 Method: Sensory Evmentioning

confidence: 99%

Visual and Sensory Properties of Textures that Appeal to Human Touch

Nagano

Okamoto

Yamada

2013

IJAE

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Some textures and materials are appealing to our sense of touch in daily life. What makes us intuitively feel like touching these particular things? Haptic invitations of such materials have rarely been investigated. The present report identifies the relationships between the visual and sensory properties of textures and their haptic invitations. We used 24 artificial clay textures that were varied along four visual factors, and quantified the degrees of haptic invitations of these textures using a ranking approach. Multiple regression analyses were performed to investigate the relationships between the degrees of haptic invitations of textures and texture factors. The surface glossiness and shape patterns of textures strongly affected the degrees of haptic invitations of those textures, but surface colors had little impact. As to the sensory factors yielded by semantic differential method, the glossless, dry, sticky, and simple factors strongly affected the textures' degrees of haptic invitations. Furthermore, we found that apparent comfort is intimately related to the attractiveness of textures. Visual and sensory factors captured 68% and 75% of the variance in subjective attractiveness, respectively. These results suggest that the visual and sensory factors associated with textures are useful for designing textures that people find attractive. In addition to these general trends of haptic invitations, individual preferences were classified into a few groups. The preferences of majority were affected by glossiness of surfaces whereas there were roughness-and smoothness-sensitive groups.

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“…They also applied these techniques to perceptual data collection of a prototype mobile tactile handheld device. Yoshida [25,26] was one of the first to use MDS techniques for quantifying metallic and fibrous tactile perceptions. Performing MDS analysis on tactile stimuli data, two dimensions: smooth/rough and hard/soft were identified in [10].…”

Section: Related Workmentioning

confidence: 99%

Quantifying perception of nonlinear elastic tissue models using multidimensional scaling

Misra

Fuernstahl

Ramesh

et al. 2009

World Haptics 2009 - Third Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoper

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Simplified soft tissue models used in surgical simulations cannot perfectly reproduce all material behaviors. In particular, many tissues exhibit the Poynting effect, which results in normal forces during shearing of tissue and is only observed in nonlinear elastic material models. In order to investigate and quantify the role of the Poynting effect on material discrimination, we performed a multidimensional scaling (MDS) study. Participants were presented with several pairs of shear and normal forces generated by a haptic device during interaction with virtual soft objects. Participants were asked to rate the similarity between the forces felt. The selection of the material parameters -and thus the magnitude of the shear and normal forces -was based on a pre-study prior to the MDS experiment. It was observed that for nonlinear elastic tissue models exhibiting the Poynting effect, MDS analysis indicated that both shear and normal forces affect user perception.

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Dimensions of Tactual Impressions (1)

Cited by 72 publications

References 5 publications

The development and validation of sensory and emotional scales of touch perception

The development and validation of sensory and emotional scales of touch perception

Visual and Sensory Properties of Textures that Appeal to Human Touch

Quantifying perception of nonlinear elastic tissue models using multidimensional scaling

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