ArticleScientific reports2018
Biosignals reflect pair-dynamics in collaborative work: EDA and ECG study of pair-programming in a classroom environment.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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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.
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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.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Detecting Emotions through Electrodermal Activity in Learning Contexts: A Systematic Review.Sensors (Basel, Switzerland) · 2021Pooled it
- Working through emotions: Sadness predicts social engagement and physiologic linkage for men and disengagement for women in dyadic interactions.Emotion (Washington, D.C.) · 2025Article
- The Synergy Zone: Connecting the Mind, Brain, and Heart for the Ideal Classroom Learning Environment.Brain sciences · 2023Article
- Physiological Synchrony Predict Task Performance and Negative Emotional State during a Three-Member Collaborative Task.Sensors (Basel, Switzerland) · 2023Article
- Conversational Task Increases Heart Rate Variability of Individuals Susceptible to Perceived Social Isolation.International journal of environmental research and public health · 2021Article
- Working Memory Performance under a Negative Affect Is More Susceptible to Higher Cognitive Workloads with Different Neural Haemodynamic Correlates.Brain sciences · 2021Article
- Multivariate model for cooperation: bridging social physiological compliance and hyperscanning.Social cognitive and affective neuroscience · 2021Article
- Interpersonal Physiological Synchrony for Detecting Moments of Connection in Persons With Dementia: A Pilot Study.Frontiers in psychology · 2021Article
- Collaborative Learning Quality Classification Through Physiological Synchrony Recorded by Wearable Biosensors.Frontiers in psychology · 2021Article
- Multimodal Data Fusion in Learning Analytics: A Systematic Review.Sensors (Basel, Switzerland) · 2020Review
- A Scalable Architecture for the Dynamic Deployment of Multimodal Learning Analytics Applications in Smart Classrooms.Sensors (Basel, Switzerland) · 2020Review
- Using Smartbands, Pupillometry and Body Motion to Detect Discomfort in Automated Driving.Frontiers in human neuroscience · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Collaboration is a complex phenomenon, where intersubjective dynamics can greatly affect the productive outcome. Evaluation of collaboration is thus of great interest, and can potentially help achieve better outcomes and performance. However, quantitative measurement of collaboration is difficult, because much of the interaction occurs in the intersubjective space between collaborators. Manual observation and/or self-reports are subjective, laborious, and have a poor temporal resolution. The problem is compounded in natural settings where task-activity and response-compliance cannot be controlled. Physiological signals provide an objective mean to quantify intersubjective rapport (as synchrony), but require novel methods to support broad deployment outside the lab. We studied 28 student dyads during a self-directed classroom pair-programming exercise. Sympathetic and parasympathetic nervous system activation was measured during task performance using electrodermal activity and electrocardiography. Results suggest that (a) we can isolate cognitive processes (mental workload) from confounding environmental effects, and (b) electrodermal signals show role-specific but correlated affective response profiles. We demonstrate the potential for social physiological compliance to quantify pair-work in natural settings, with no experimental manipulation of participants required. Our objective approach has a high temporal resolution, is scalable, non-intrusive, and robust.
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Registered trials
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.