Biosignals reflect pair-dynamics in collaborative work: EDA and ECG study of pair-programming in a classroom...

Area of Science:

• Human-Computer Interaction
• Cognitive Science
• Physiological Computing

Background:

• Evaluating collaboration is crucial for improving outcomes, but traditional methods are subjective and lack temporal resolution.
• Measuring intersubjective dynamics in natural settings is difficult due to uncontrolled variables.
• Physiological signals offer an objective approach to quantifying collaboration, but require methods for real-world deployment.

Purpose of the Study:

• To develop and validate an objective method for quantifying collaboration in naturalistic settings using physiological signals.
• To assess the feasibility of measuring intersubjective rapport and cognitive load during pair-programming tasks.
• To demonstrate the utility of social physiological compliance for evaluating collaborative work.

Main Methods:

• Studied 28 student dyads during a self-directed classroom pair-programming exercise.
• Measured sympathetic and parasympathetic nervous system activation using electrodermal activity (EDA) and electrocardiography (ECG).
• Employed novel methods to support broad deployment of physiological sensing outside laboratory environments.

Main Results:

• Successfully isolated cognitive processes (mental workload) from confounding environmental factors.
• Electrodermal activity signals revealed role-specific yet correlated affective response profiles between collaborators.
• Demonstrated that physiological synchrony can objectively quantify pair-work dynamics.

Conclusions:

• Physiological signals provide a scalable, non-intrusive, and robust method for high-temporal-resolution measurement of collaboration.
• The objective approach enables the quantification of pair-work in natural settings without experimental manipulation.
• This research paves the way for improved evaluation and enhancement of collaborative performance.