Evidence map›Paper›PMID 31832879›Full record

ArticleBehavior research methods2020

The Lancaster Sensorimotor Norms: multidimensional measures of perceptual and action strength for 40,000 English words.

Dermot Lynott, Louise Connell, Marc Brysbaert, James Brand, James Carney

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In one paragraph

Article in Behavior research methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 124 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

124 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Dermot LynottDepartment of Psychology, Lancaster University, Lancaster, UK. d.lynott@lancaster.ac.uk.
Louise ConnellDepartment of Psychology, Lancaster University, Lancaster, UK. l.connell@lancaster.ac.uk.
Marc BrysbaertDepartment of Experimental Psychology, Ghent University, Ghent, Belgium.
James BrandDepartment of Psychology, Lancaster University, Lancaster, UK.
James CarneyDepartment of Psychology, Lancaster University, Lancaster, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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/).

Indexed as

LanguageAdultCognitionFemaleHumansMaleMiddle AgedPsycholinguisticsYoung Adult

Identifiers

PMID31832879
PMCPMC7280349

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.