Cited by 37Multisensory perception and integrationTactile and Sensory InteractionsPhonetics and Phonology Research

Manual directional gestures facilitate cross-modal perceptual learning

Zhen, Anna, Van Hedger, Stephen, Heald, Shannon, Goldin-Meadow, Susan, Tian, Xing·2019·Cognition

Abstract

Action and perception interact in complex ways to shape how we learn. In the context of language acquisition, for example, hand gestures can facilitate learning novel sound-to-meaning mappings that are critical to successfully understanding a second language. However, the mechanisms by which motor and visual information influence auditory learning are still unclear. We hypothesize that the extent to which cross-modal learning occurs is directly related to the common representational format of perceptual features across motor, visual, and auditory domains (i.e., the extent to which changes in one domain trigger similar changes in another). Furthermore, to the extent that information across modalities can be mapped onto a common representation, training in one domain may lead to learning in another domain. To test this hypothesis, we taught native English speakers Mandarin tones using directional pitch gestures. Watching or performing gestures that were congruent with pitch direction (e.g., an up gesture moving up, and a down gesture moving down, in the vertical plane) significantly enhanced tone category learning, compared to auditory-only training. Moreover, when gestures were rotated (e.g., an up gesture moving away from the body, and a down gesture moving toward the body, in the horizontal plane), performing the gestures resulted in significantly better learning, compared to watching the rotated gestures. Our results suggest that when a common representational mapping can b…

Integrity signals

Registry

Crossref · 10.1016/j.cognition.2019.03.004

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Authors
Zhen, A., Van Hedger, S., Heald, S., Goldin-Meadow, S., & Tian, X.
Affiliations
  • New York University Shanghai (CN)
  • University of Chicago (US)
Corresponding author
Tian, Xing
Venue
Cognition
Publisher
Elsevier BV
Published
2019-06
Volume
187
Pages
178-187
ISSN
0010-0277 (ISSN-L)
OpenAlex
W2921365703
Cited by
37
References
1
Citations by year
2026: 5 · 2025: 8 · 2024: 3 · 2023: 4 · 2022: 7 · 2021: 3 · 2020: 6 · 2019: 1
FWCI
5.01
Type
journal article
Language
en
Open access
closed
Locations
  • Cognition (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (31871131)
  • STCSM (17JC1404104)
  • Program of Introducing Talents of Discipline to Universities
  • Base B16018
  • New York University Global Seed Grants for Collaborative Research (85-65701-G0757-R4551)
  • NYU Shanghai
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
Keywords
Mandarin tones, sensorimotor integration, auditory perceptual learning, second language acquisition
MeSH terms
Adult, Concept Formation, Female, Gestures, Humans, Learning, Male, Pitch Perception, Space Perception, Speech Perception, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review