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RESEARCH & PUBLICATION

EEG and consumer behavior

We compared responses to wood-fiber and glass bottle images in EEG recordings from 56 people. Features extracted from the signals were used to classify valence–arousal states. The TÜBİTAK 2209-A supported work was published at IEEE CoDIT 2026.

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IEEE CoDIT 2026 · Peer-reviewed publication

Investigating the Effect of Sustainable Product Packaging on Consumer Behavior Using EEG Signals

TÜBİTAK 2209-A supported research · Published conference paper

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How we worked

  1. 01Filtering and ICA artifact reduction for 32-channel EEG recordings
  2. 02Extracting 896 features from four-second windows
  3. 03Selecting 30 features with ReliefF and classifying with Subspace k-NN
  4. 04Interpreting feature contributions with SHAP