Lynott, Dermot (2019) Sensorimotor Norms: Perception and Action Strength norms for 40,000 words. Proceedings of the Annual Meeting of the Cognitive Science Society. pp. 728-734. ISSN 1069-7977

Preview

Download (814kB) | Preview

Abstract

Sensorimotor information plays a fundamental role in cognition. However, datasets of ratings of sensorimotor experience have generally been restricted to several hundred words, leading to limited linguistic coverage and reduced statistical power for more complex analyses. Here, we present modality-specific and effector-specific norms for 39,954 concepts across six sensory modalities (touch, hearing, smell, taste, vision, and interoception) and five action effectors (mouth/throat, hand/arm, foot/leg, head excluding mouth, and torso), which were gathered from 4,557 participants who completed a total of 32,456 surveys using Amazon's Mechanical Turk platform. The dataset therefore represents one of the largest set of semantic norms currently available. We describe the data collection procedures, provide summary descriptives of the data set, demonstrate the utility of the norms in predicting lexical decision times and accuracy, as well as offering new insights and outlining avenues for future research. Our findings will be of interest to researchers in embodied cognition, cognitive semantics, sensorimotor processing, and the psychology of language generally. The scale of this dataset will also facilitate computational modelling and big data approaches to the analysis of language and conceptual representations.

Item Type:	Article
Keywords:	embodied cognition; semantics; norms;
Academic Unit:	Faculty of Science and Engineering > Psychology
Item ID:	17656
Depositing User:	Dermot Lynott
Date Deposited:	10 Oct 2023 10:31
Journal or Publication Title:	Proceedings of the Annual Meeting of the Cognitive Science Society
Publisher:	Cognitive Science Society
Refereed:	Yes
URI:	Organisation
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

Repository Staff Only(login required)

Item control page

Downloads

Origin of downloads