Evidence map›Paper›PMID 26167256›Full record

ArticleIEEE transactions on affective computing

Interpersonal Coordination of Head Motion in Distressed Couples.

Zakia Hammal, Jeffrey F Cohn, David T George

Abstract read
In one paragraph

Article in IEEE transactions on affective computing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Predicting Autism from Head Movement Patterns during Naturalistic Social Interactions.Proceedings of the 2023 7th International Conference on Medical and Health Informatics (ICMHI 2023) : May 12-14, 2023, Kyoto, Japan. International Conference on Medical and Health Informatics (7th : 2023 : Kyoto, Japan) · 2023
    Article
  3. Article
  4. Head Movement Patterns during Face-to-Face Conversations Vary with Age.ICMI'22 Companion : companion publication of the 2022 International Conference on Multimodal Interaction : November 7-11, 2022, Bangalore, India. ICMI (Conference) (2022 : Bangalore, India) · 2022
    Article
  5. Article
  6. Automated Detection of Enhanced DBS Device Settings.Companion Publication of the 2020 International Conference on Multimodal Interaction · 2020
    Article
  7. Article
  8. Automated Measurement of Head Movement Synchrony during Dyadic Depression Severity Interviews.Proceedings of the ... International Conference on Automatic Face and Gesture Recognition. IEEE International Conference on Automatic Face & Gesture Recognition · 2019
    Article
  9. Automated Affect Detection in Deep Brain Stimulation for Obsessive-Compulsive Disorder: A Pilot Study.Proceedings of the ... ACM International Conference on Multimodal Interaction. ICMI (Conference) · 2018
    Article
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  13. Review
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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

3 authors.

Zakia HammalRobotics Institute, Carnegie Mellon University, Pittsburgh, PA 15260. zakia_hammal@yahoo.fr.
Jeffrey F CohnRobotics Institute, Carneige Mellon University and the Department of Psychology, University of Pittsburgh, Pittsburgh, PA 15260. jeffcohn@cs.cmu.edu.
David T GeorgeDivision of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD. tedg@lcs.niaaa.nih.gov.

Funding

Automatic Multimodal Affect Detection for Research and Clinical Use R01MH096951 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI COHN, JEFFREY F · 2012 to 2021
$5.6M
NIMH NIH HHS R01 MH096951
6 · The paper itself

Abstract

In automatic emotional expression analysis, head motion has been considered mostly a nuisance variable, something to control when extracting features for action unit or expression detection. As an initial step toward understanding the contribution of head motion to emotion communication, we investigated the interpersonal coordination of rigid head motion in intimate couples with a history of interpersonal violence. Episodes of conflict and non-conflict were elicited in dyadic interaction tasks and validated using linguistic criteria. Head motion parameters were analyzed using Student's paired t-tests; actor-partner analyses to model mutual influence within couples; and windowed cross-correlation to reveal dynamics of change in direction of influence over time. Partners' RMS angular displacement for yaw and RMS angular velocity for pitch and yaw each demonstrated strong mutual influence between partners. Partners' RMS angular displacement for pitch was higher during conflict. In both conflict and non-conflict, head angular displacement and angular velocity for pitch and yaw were strongly correlated, with frequent shifts in lead-lag relationships. The overall amount of coordination between partners' head movement was more highly correlated during non-conflict compared with conflict interaction. While conflict increased head motion, it served to attenuate interpersonal coordination.

Indexed as

actor-partner analysishead motionInterpersonal coordinationwindowed cross-correlation

Identifiers

PMID26167256
PMCPMC4495975

What OpenQuestion holds

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Registered trials

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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.