Evidence map›Paper›PMID 33870212›Full record

ArticleAffective science2021

Categorization of Vocal Emotion Cues Depends on Distributions of Input.

Kristina Woodard, Rista C Plate, Michele Morningstar, Adrienne Wood, Seth D Pollak

Abstract read
In one paragraph

Article in Affective science, 2021. 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. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Kristina WoodardDepartment of Psychology, University of Wisconsin - Madison, 1500 Highland Avenue, Madison, WI 53705 USA.ORCID 0000-0002-7848-3829
Rista C PlateDepartment of Psychology, University of Wisconsin - Madison, 1500 Highland Avenue, Madison, WI 53705 USA.
Michele MorningstarDepartment of Psychology, Queen's University, Kingston, ON Canada.
Adrienne WoodDepartment of Psychology, University of Virginia, 485 McCormick Rd, Charlottesville, VA 22904 USA.
Seth D PollakDepartment of Psychology, University of Wisconsin - Madison, 1500 Highland Avenue, Madison, WI 53705 USA.ORCID https://orcid.org/0000-0001-5184-9846

Funding

Emotion Processing:Risk for Psychopathology in ChildrenR01MH061285 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI SETH D POLLAK · 2001 to 2026
$12.4M
TRAINING PROGRAM IN EMOTION RESEARCHT32MH018931 · NIMH · UNIVERSITY OF WISCONSIN-MADISON · PI Richard J Davidson · 1989 to 2026
$11.6M
Waisman Intellectual and Developmental Disabilities Research Center Down Syndrome RegistryU54HD090256 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI CHANG, QIANG · 2016 to 2020
$6.0M
NICHD NIH HHS U54 HD090256NIMH NIH HHS R01 MH061285NIMH NIH HHS T32 MH018931
6 · The paper itself

Abstract

Learners use the distributional properties of stimuli to identify environmentally relevant categories in a range of perceptual domains, including words, shapes, faces, and colors. We examined whether similar processes may also operate on affective information conveyed through the voice. In Experiment 1, we tested how adults (18-22-year-olds) and children (8-10-year-olds) categorized affective states communicated by vocalizations varying continuously from "calm" to "upset." We found that the threshold for categorizing both verbal (i.e., spoken word) and nonverbal (i.e., a yell) vocalizations as "upset" depended on the statistical distribution of the stimuli participants encountered. In Experiment 2, we replicated and extended these findings in adults using vocalizations that conveyed multiple negative affect states. These results suggest perceivers' flexibly and rapidly update their interpretation of affective vocal cues based upon context. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42761-021-00038-w.

Indexed as

AffectEmotion categorizationStatistical learningVocal expression

Identifiers

PMID33870212
PMCPMC8035059

What OpenQuestion holds

Textmetadata
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.