Evidence map›Paper›PMID 36850866›Full record

ArticleSensors (Basel, Switzerland)2023

Physiological Synchrony Predict Task Performance and Negative Emotional State during a Three-Member Collaborative Task.

Mohammed Algumaei, Imali Hettiarachchi, Rakesh Veerabhadrappa, Asim Bhatti

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

4 authors.

Mohammed AlgumaeiInstitute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, VIC 3216, Australia.ORCID 0000-0003-3373-6455
Imali HettiarachchiInstitute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, VIC 3216, Australia.
Rakesh VeerabhadrappaInstitute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, VIC 3216, Australia.
Asim BhattiInstitute for Intelligent Systems Research and Innovation, Deakin University, Waurn Ponds, VIC 3216, Australia.ORCID 0000-0001-6876-1437

Funding

Defence Science Institute (DSI) and by the DSI Research Higher Degree (RHD) Student Grant RHD-0014
6 · The paper itself

Abstract

Evaluation of team performance in naturalistic contexts has gained popularity during the last two decades. Among other human factors, physiological synchrony has been adopted to investigate team performance and emotional state when engaged in collaborative team tasks. A variety of methods have been reported to quantify physiological synchrony with a varying degree of correlation with the collaborative team task performance and emotional state, reflected in the inconclusive nature of findings. Little is known about the effect of the choice of synchrony calculation methods and the level of analysis on these findings. In this research work, we investigate the relationship between outcomes of different methods to quantify physiological synchrony, emotional state, and team performance of three-member teams performing a collaborative team task. The proposed research work employs dyadic-level linear (cross-correlation) and team-level non-linear (multidimensional recurrence quantification analysis) synchrony calculation measures to quantify task performance and the emotional state of the team. Our investigation indicates that the physiological synchrony estimated using multidimensional recurrence quantification analysis revealed a significant negative relationship between the subjectively reported frustration levels and overall task performance. However, no relationship was found between cross-correlation-based physiological synchrony and task performance. The proposed research highlights that the method of choice for physiological synchrony calculation has direct impact on the derived relationship of team task performance and emotional states.

Indexed as

EmotionsTask Performance and AnalysisHumansemotional stateMdRQAphysiological synchronyteam performance

Identifiers

PMID36850866
PMCPMC9960820

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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.