Evidence map›Paper›PMID 21651985›Full record

ReviewNeuroImage2012

Decoding intention: a neuroergonomic perspective.

Scott T Grafton, Christine M Tipper

Abstract readReview
In one paragraph

Review in NeuroImage, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Scott T GraftonDepartment of Psychological and Brain Science, University of California, Santa Barbara, CA 93106-9660, USA. grafton@psych.ucsb.edu
Christine M Tipper

Funding

Transformation of Planned Hand Movements into Motor Commands by the Motor CortexP01NS044393 · NINDS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI TURNER, ROBERT STERLING · 2003 to 2013
$12.2M
NINDS NIH HHS NS44393NINDS NIH HHS P01 NS044393
6 · The paper itself

Abstract

Decoding the intentions of other people based on non-linguistic cues such as their body movement is a major requirement of many jobs. Whether it is maintaining security at an airport or negotiating with locals in a foreign country, there is a need to maximize the effectiveness of training or real-time performance in this decoding process. This review considers the potential utility of neuroergonomic solutions, and in particular, of electroencephalographic (EEG) methods for augmenting action understanding. Focus is given to body movements and hand-object interactions, where there is a rapid growth in relevant science. The interpretation of EEG-based signals is reinforced by a consideration of functional magnetic resonance imaging experiments demonstrating underlying brain mechanisms that support goal oriented action. While no EEG method is currently implemented as a practical application for enhancing the understanding of unspoken intentions, there are a number of promising approaches that merit further development.

Indexed as

ElectroencephalographyIntentionBrainBrain MappingErgonomicsHumansMagnetic Resonance ImagingMotion Perception

Identifiers

PMID21651985
PMCPMC3189273

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.