Loosely controlled experimental EEG datasets for higher-order cognitions in design and creativity tasks

Area of Science:

• Neuroscience
• Cognitive Science
• Experimental Psychology

Background:

• Understanding the neural underpinnings of design and creativity is crucial but challenging.
• Existing publicly available datasets in this domain are scarce.
• Novel electroencephalography (EEG) datasets are needed to advance research in design and creativity neurocognition.

Purpose of the Study:

• To present two comprehensive EEG datasets from design and creativity experiments.
• To facilitate research in design and creativity cognition by providing accessible neurophysiological data.
• To introduce and validate a "loosely controlled" experimental approach for cognitive studies.

Main Methods:

• Recorded 64-channel EEG signals at 500 Hz from 27 participants in design tasks and 28 participants in creativity tasks.
• Experiments involved loosely controlled, self-paced cognitive tasks such as idea generation, evaluation, and problem understanding.
• EEG data were pre-processed, artifact-corrected, and segmented according to experimental tasks, stored in .mat format.

Main Results:

• Two distinct EEG datasets (Dataset A: design, Dataset B: creativity) are now publicly available.
• The datasets capture neural activity during various cognitive processes inherent to design and creative thinking.
• A comparative analysis of the datasets offers a holistic view of design and creativity tasks.

Conclusions:

• The presented EEG datasets are a novel and valuable resource for the neuroscience of creativity and design.
• The "loosely controlled" experimental paradigm offers a flexible yet structured approach for future cognitive research.
• These datasets and methodologies will promote further investigation into the neurocognitive mechanisms of human creativity and design processes.