LL-EG02 26A: A Dataset of Neurological, Physiological, and Perceptual Responses during AI-Supported Collaborative Decision-Making

These signals support the analysis of concentration, cognitive workload, attention, and mental fatigue during the activity. Embrace Plus Wristband (Empatica): Physiological activity was recorded using the Embrace Plus multimodal wearable device for continuous monitoring of autonomic nervous system responses. Biomarkers collected included: ● Electrodermal Activity (EDA): Measures tonic and phasic skin conductance responses associated with stress, arousal, engagement, and emotional activation.

Sampling frequency: ~4 Hz. ● Blood Volume Pulse (BVP): Measures peripheral blood flow through photoplethysmography (PPG). ● Skin Temperature: Captures peripheral thermoregulation changes related to cognitive effort and emotional responses. Sampling frequency: ~1 Hz. ● Systolic Peaks: Derived cardiovascular indicators extracted from the BVP signal for pulse-related event analysis. In addition to biometric recordings, the dataset includes a post-session perception survey containing measures related to alertness, valence, concentration, AI interaction, perceived realism of the scenario, and perceived influence of the AI agent during collaborative decision-making.

The purpose of this dataset is to document and analyze neurological, physiological, and perceptual responses associated with AI-supported collaborative decision-making activities in higher education. The collected signals provide a basis for examining cognitive and emotional responses under pressure-based educational scenarios and technology-enhanced learning environments.