NeuMa: Multimodal Neuromarketing Data from 42 Participants

A dataset from 42 individuals who browsed digital supermarket brochures while their neural and ocular activity was recorded. Data includes encephalographic (EEG) recordings, eye tracking (ET) recordings, questionnaire responses, and computer mouse interactions. The dataset was created by Kostas Georgiadis and is available under an Open Access license.

Use Cases

• Predicting product selection intent based on EEG and eye-tracking patterns.
• Analyzing the relationship between personality traits and consumer choices based on questionnaire data.
• Modeling browsing and decision-making behavior using synchronized mouse, eye, and brain activity data.

Strengths

• Includes synchronized data from four modalities: EEG, eye tracking, mouse interactions, and questionnaires.
• Data was collected from 42 participants in a controlled, realistic shopping simulation.
• Questionnaires cover demographic, personality, and product-specific factors for each selected item.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the specific experimental protocol and participant pool.

Provenance

Source

Kostas Georgiadis

Collection Method

Experimental data collection from participants browsing digital supermarket brochures in a lab setting.