Ally Liew & Kashika Khurana EEG Dataset: Cognitive Engagement in AI Modes

An EEG dataset investigating cognitive engagement during distinct AI interaction modes. The dataset was created by Ally Liew and Kashika Khurana and is hosted on Kaggle. The specific collection year is indicated as 2026.

Use Cases

• Classifying cognitive engagement levels based on EEG signal patterns.
• Comparing neural correlates of different AI interaction modes mentioned in the description.
• Developing models to predict cognitive state from EEG data during problem-solving tasks.

Strengths

• Dataset focuses on a specific research question regarding AI interaction and cognition.
• The description mentions a mathematical investigation component, suggesting derived features may be included.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

Likely collected via EEG recordings during controlled tasks involving AI modes.