Evidence map›Paper›PMID 29342516›Full record

ArticleThe Behavioral and brain sciences2017

How to distinguish gesture from sign: New technology is not the answer.

Karen Emmorey

Abstract readComment
In one paragraph

Article in The Behavioral and brain sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

Karen EmmoreySchool of Speech, Language, and Hearing Sciences,San Diego State University,San Diego,CA 92120.kemmorey@mail.sdsu.eduhttp://slhs.sdsu.edu/llcn/.

Funding

Language, Modality and the BrainR01DC010997 · NIDCD · SAN DIEGO STATE UNIVERSITY · PI KAREN EMMOREY · 2010 to 2026
$8.6M
NIDCD NIH HHS R01 DC010997
6 · The paper itself

Abstract

Linguistic and psycholinguistic tests will be more useful than motion capture technology in calibrating the borders between sign and gesture. The analogy between motion capture (mocap) technology and the spectrograph is flawed because only vocal articulators are hidden. Although information about gradience and variability will be obtained, the technology provides less information about linguistic constraints and categories. Better models are needed to account for differences between co-speech and co-sign gesture (e.g., different degrees of optionality, existence of beat gestures).

Indexed as

GesturesSign LanguageHumansLanguagePsycholinguisticsSpeech

Identifiers

PMID29342516
PMCPMC7147075

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.