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The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words. / Lynott, Dermot; Connell, Louise; Brysbaert, Marc et al.
In: Behavior Research Methods, Vol. 52, No. 3, 01.06.2020, p. 1271-1291.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Lynott, D, Connell, L, Brysbaert, M, Brand, J & Carney, J 2020, 'The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words', Behavior Research Methods, vol. 52, no. 3, pp. 1271-1291. https://doi.org/10.3758/s13428-019-01316-z

APA

Lynott, D., Connell, L., Brysbaert, M., Brand, J., & Carney, J. (2020). The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words. Behavior Research Methods, 52(3), 1271-1291. https://doi.org/10.3758/s13428-019-01316-z

Vancouver

Lynott D, Connell L, Brysbaert M, Brand J, Carney J. The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words. Behavior Research Methods. 2020 Jun 1;52(3):1271-1291. Epub 2019 Dec 12. doi: 10.3758/s13428-019-01316-z

Author

Lynott, Dermot ; Connell, Louise ; Brysbaert, Marc et al. / The Lancaster Sensorimotor Norms : Multidimensional measures of Perceptual and Action Strength for 40,000 English words. In: Behavior Research Methods. 2020 ; Vol. 52, No. 3. pp. 1271-1291.

Bibtex

@article{c53f0d8a9c094776beed0ef68b77da0a,
title = "The Lancaster Sensorimotor Norms: Multidimensional measures of Perceptual and Action Strength for 40,000 English words",
abstract = "Sensorimotor information plays a fundamental role in cognition. However, the existing materials that measure the sensorimotor basis of word meanings and concepts have been restricted in terms of their sample size and breadth of sensorimotor experience. Here we present norms of sensorimotor strength for 39,707 concepts across six perceptual modalities (touch, hearing, smell, taste, vision, and interoception) and five action effectors (mouth/throat, hand/arm, foot/leg, head excluding mouth/throat, and torso), gathered from a total of 3,500 individual participants using Amazon{\textquoteright}s Mechanical Turk platform. The Lancaster Sensorimotor Norms are unique and innovative in a number of respects: They represent the largest-ever set of semantic norms for English, at 40,000 words × 11 dimensions (plus several informative cross-dimensional variables), they extend perceptual strength norming to the new modality of interoception, and they include the first norming of action strength across separate bodily effectors. In the first study, we describe the data collection procedures, provide summary descriptives of the dataset, and interpret the relations observed between sensorimotor dimensions. We then report two further studies, in which we (1) extracted an optimal single-variable composite of the 11-dimension sensorimotor profile (Minkowski 3 strength) and (2) demonstrated the utility of both perceptual and action strength in facilitating lexical decision times and accuracy in two separate datasets. These norms provide a valuable resource to researchers in diverse areas, including psycholinguistics, grounded cognition, cognitive semantics, knowledge representation, machine learning, and big-data approaches to the analysis of language and conceptual representations. The data are accessible via the Open Science Framework (http://osf.io/7emr6/) and an interactive web application (https://www.lancaster.ac.uk/psychology/lsnorms/).",
keywords = "effectors, embodied cognition, modality-specific, sensory, norms, language, action, perception, Semantics",
author = "Dermot Lynott and Louise Connell and Marc Brysbaert and James Brand and James Carney",
year = "2020",
month = jun,
day = "1",
doi = "10.3758/s13428-019-01316-z",
language = "English",
volume = "52",
pages = "1271--1291",
journal = "Behavior Research Methods",
issn = "1554-351X",
publisher = "Springer New York LLC",
number = "3",

}

RIS

TY - JOUR

T1 - The Lancaster Sensorimotor Norms

T2 - Multidimensional measures of Perceptual and Action Strength for 40,000 English words

AU - Lynott, Dermot

AU - Connell, Louise

AU - Brysbaert, Marc

AU - Brand, James

AU - Carney, James

PY - 2020/6/1

Y1 - 2020/6/1

N2 - Sensorimotor information plays a fundamental role in cognition. However, the existing materials that measure the sensorimotor basis of word meanings and concepts have been restricted in terms of their sample size and breadth of sensorimotor experience. Here we present norms of sensorimotor strength for 39,707 concepts across six perceptual modalities (touch, hearing, smell, taste, vision, and interoception) and five action effectors (mouth/throat, hand/arm, foot/leg, head excluding mouth/throat, and torso), gathered from a total of 3,500 individual participants using Amazon’s Mechanical Turk platform. The Lancaster Sensorimotor Norms are unique and innovative in a number of respects: They represent the largest-ever set of semantic norms for English, at 40,000 words × 11 dimensions (plus several informative cross-dimensional variables), they extend perceptual strength norming to the new modality of interoception, and they include the first norming of action strength across separate bodily effectors. In the first study, we describe the data collection procedures, provide summary descriptives of the dataset, and interpret the relations observed between sensorimotor dimensions. We then report two further studies, in which we (1) extracted an optimal single-variable composite of the 11-dimension sensorimotor profile (Minkowski 3 strength) and (2) demonstrated the utility of both perceptual and action strength in facilitating lexical decision times and accuracy in two separate datasets. These norms provide a valuable resource to researchers in diverse areas, including psycholinguistics, grounded cognition, cognitive semantics, knowledge representation, machine learning, and big-data approaches to the analysis of language and conceptual representations. The data are accessible via the Open Science Framework (http://osf.io/7emr6/) and an interactive web application (https://www.lancaster.ac.uk/psychology/lsnorms/).

AB - Sensorimotor information plays a fundamental role in cognition. However, the existing materials that measure the sensorimotor basis of word meanings and concepts have been restricted in terms of their sample size and breadth of sensorimotor experience. Here we present norms of sensorimotor strength for 39,707 concepts across six perceptual modalities (touch, hearing, smell, taste, vision, and interoception) and five action effectors (mouth/throat, hand/arm, foot/leg, head excluding mouth/throat, and torso), gathered from a total of 3,500 individual participants using Amazon’s Mechanical Turk platform. The Lancaster Sensorimotor Norms are unique and innovative in a number of respects: They represent the largest-ever set of semantic norms for English, at 40,000 words × 11 dimensions (plus several informative cross-dimensional variables), they extend perceptual strength norming to the new modality of interoception, and they include the first norming of action strength across separate bodily effectors. In the first study, we describe the data collection procedures, provide summary descriptives of the dataset, and interpret the relations observed between sensorimotor dimensions. We then report two further studies, in which we (1) extracted an optimal single-variable composite of the 11-dimension sensorimotor profile (Minkowski 3 strength) and (2) demonstrated the utility of both perceptual and action strength in facilitating lexical decision times and accuracy in two separate datasets. These norms provide a valuable resource to researchers in diverse areas, including psycholinguistics, grounded cognition, cognitive semantics, knowledge representation, machine learning, and big-data approaches to the analysis of language and conceptual representations. The data are accessible via the Open Science Framework (http://osf.io/7emr6/) and an interactive web application (https://www.lancaster.ac.uk/psychology/lsnorms/).

KW - effectors

KW - embodied cognition

KW - modality-specific

KW - sensory

KW - norms

KW - language

KW - action

KW - perception

KW - Semantics

U2 - 10.3758/s13428-019-01316-z

DO - 10.3758/s13428-019-01316-z

M3 - Journal article

VL - 52

SP - 1271

EP - 1291

JO - Behavior Research Methods

JF - Behavior Research Methods

SN - 1554-351X

IS - 3

ER -