Studying naturalistic human communication using dual-EEG and audio-visual recordings
Sara Mazzini1, Judith Holler2, Linda Drijvers3
1The Communicative Brain, Neurobiology of Language Department, Max Planck Institute for Psycholinguistics, Nijmegen 6525XD, the Netherlands.
STAR Protocols
|July 8, 2023
Summary
This study details a protocol for naturalistic human communication research using dual electroencephalography (EEG) and audio-visual recordings, enabling diverse communication analysis.
Area of Science:
- Neuroscience
- Cognitive Science
- Communication Studies
Background:
- Understanding natural human communication is complex.
- Existing methods may not capture the full richness of real-time interactions.
- Synchronized neurophysiological and behavioral data are crucial.
Purpose of the Study:
- To present a comprehensive protocol for studying naturalistic human communication.
- To detail the setup, experiment design, and data collection procedures.
- To outline the potential research questions and advanced analysis techniques applicable.
Main Methods:
- Dual electroencephalography (EEG) for simultaneous brain activity recording from two participants.
- Audio-visual recordings to capture verbal and non-verbal communication cues.
- Detailed protocol covering preparation, participant recruitment, and data acquisition.
- Standardized procedures for experiment room setup and piloting.
Main Results:
- A robust protocol for collecting high-fidelity dual-EEG and audio-visual data during naturalistic communication.
- Demonstration of preparatory steps, including experiment design and piloting.
- Outline of data collection phases from recruitment to final recording.
- Identification of diverse research applications and advanced analytical approaches.
Conclusions:
- The presented protocol facilitates in-depth investigation of natural human communication.
- Dual-EEG and audio-visual recordings offer a powerful combination for studying interpersonal dynamics.
- The protocol supports a wide range of research questions, from basic conversational analysis to complex time-frequency analyses.


