Evidence map›Paper›PMID 31745390›Full record

ArticleProceedings of the ... International Conference on Automatic Face and Gesture Recognition. IEEE International Conference on Automatic Face & Gesture Recognition2019

Automated Measurement of Head Movement Synchrony during Dyadic Depression Severity Interviews.

Shalini Bhatia, Roland Goecke, Zakia Hammal, Jeffrey F Cohn

Abstract read
In one paragraph

Article in Proceedings of the ... International Conference on Automatic Face and Gesture Recognition. IEEE International Conference on Automatic Face & Gesture Recognition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% of its field
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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
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

4 authors at 3 institutions in 2 countries.

Shalini BhatiaHuman-Centred Technology Research Centre, University of Canberra, Canberra, Australia.
Roland GoeckeHuman-Centred Technology Research Centre, University of Canberra, Canberra, Australia.
Zakia HammalRobotics Institute, Carnegie Mellon University, Pittsburgh, USA.
Jeffrey F CohnDepartment of Psychology, University of Pittsburgh, Pittsburgh, USA.
University of Canberra · AUCarnegie Mellon University · USUniversity of Pittsburgh · US

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
Multimodal Assessment of Occurrence and Intensity of Pain for Research and Clinical UseR21NR016510 · NINR · CARNEGIE-MELLON UNIVERSITY · PI HAMMAL, ZAKIA · 2017 to 2018
$441k
NIMH NIH HHS R01 MH096951NINR NIH HHS R21 NR016510
6 · The paper itself

Abstract

With few exceptions, most research in automated assessment of depression has considered only the patient's behavior to the exclusion of the therapist's behavior. We investigated the interpersonal coordination (synchrony) of head movement during patient-therapist clinical interviews. Our sample consisted of patients diagnosed with major depressive disorder. They were recorded in clinical interviews (Hamilton Rating Scale for Depression, HRSD) at 7-week intervals over a period of 21 weeks. For each session, patient and therapist 3D head movement was tracked from 2D videos. Head angles in the horizontal (pitch) and vertical (yaw) axes were used to measure head movement. Interpersonal coordination of head movement between patients and therapists was measured using windowed cross-correlation. Patterns of coordination in head movement were investigated using the peak picking algorithm. Changes in head movement coordination over the course of treatment were measured using a hierarchical linear model (HLM). The results indicated a strong effect for patient-therapist head movement synchrony. Within-dyad variability in head movement coordination was found to be higher than between-dyad variability, meaning that differences over time in a dyad were higher as compared to the differences between dyads. Head movement synchrony did not change over the course of treatment with change in depression severity. To the best of our knowledge, this study is the first attempt to analyze the mutual influence of patient-therapist head movement in relation to depression severity.

Identifiers

PMID31745390
PMCPMC6863512
OpenAlexW2958737211

What OpenQuestion holds

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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.