Neural Markers of Situation Awareness-Mobile Brain/Body Imaging in Dynamic 3D Environments
Abstract
A virtual reality environment to test situation awareness with varying difficulty levels of predictability, visibility, and stimulus distinguishability was created. 32 data sets with electroencephalography (EEG), eye tracking, and motion capture were recorded and analyzed. A poster was published on the Human Factors and Ergonomics Society Europe Conference (HFES Europe) in Nantes, France. Predicting the performance of the participant using measures of motion capture and eye gaze alone is a promising option. Analyzing the working memory load and cognitive reaction to stimuli based on EEG is ongoing. In order to shed light on important aspects of processing the mobile EEG data, an investigation titled Identifying key factors for improving ICA-based decomposition of EEG data in mobile and stationary experiments was published open access in the European Journal of Neuroscience (Klug and Gramann, 2020). Four master students graduated in the project, three master students are currently working in it. Additional publications on data processing, and behavioral and EEG analysis are ongoing.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 05, 2021
- Accession Number
- AD1153757
Entities
People
- Klaus Gramann
- Tzyy-Ping Jung