I DARE: IULM Dataset of Affective Responses

Marco Bilucaglia

Margherita Zito

Alessandro Fici

Chiara Casiraghi

Fiamma Rivetti

Mara Bellati

Vincenzo Russo

The article introduces the I DARE (IULM Dataset of Affective Responses), a new multimodal dataset for affective computing, collected to advance neuromarketing and consumer neuroscience research. This dataset consists of five physiological modalities (EEG, SC, PPG, EMG, and ET) collected from 63 participants exposed to 32 images that evoke different emotional responses. The dataset aims to overcome limitations in existing datasets by using static stimuli rather than dynamic videos, enhancing its applicability in various contexts like product packaging or landing pages. The dataset supports affective detection and improves model training in neuromarketing applications.

This publication uses EEG, Eye Tracking and Eye Tracking Screen Based which is fully integrated into iMotions Lab

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