Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/19952
Title: The Lancaster Sensorimotor Norms: multidimensional measures of perceptual and action strength for 40,000 English words
Authors: Lynott, D
Connell, L
Brysbaert, M
Brand, J
Carney, J
Issue Date: 12-Dec-2019
Publisher: Springer Nature
Citation: Lynott, D. et al. (2020) 'The Lancaster Sensorimotor Norms: multidimensional measures of perceptual and action strength for 40,000 English words', Behavior Research Methods, 52, pp. 1271 - 1291. doi: 10.3758/s13428-019-01316-z.
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’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/).
Description: Open access note: All images and data used in this article are licensed under a Creative Commons Attribution 4.0 International License (CC-BY), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Any images or other third-party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/.
Open Practices Statement: The Lancaster Sensorimotor Norms dataset, additional data, materials, analysis, and scripts for all studies are available at https://osf.io/7emr6/. The norms dataset is also available as a searchable database (https://www.lancaster.ac.uk/psychology/lsnorms/).
URI: https://bura.brunel.ac.uk/handle/2438/19952
DOI: https://doi.org/10.3758/s13428-019-01316-z
ISSN: 1554-351X
Other Identifiers: ORCiD: James Carney https://orcid.org/0000-0001-6064-7867
Appears in Collections:Dept of Arts and Humanities Research Papers

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