Suchergebnisse

Electroencephalographic (EEG) recordings were made while 16 participants performed versions of a personal-computer-based flight simulation task of low, moderate, or high difficulty. As task difficulty increased, frontal midline theta EEG activity increased and alpha band activity decreased. A participant-specific function that combined multiple EEG features to create a single load index was derived from a sample of each participant's data and then applied to new test data from that participant. Index values were computed for every 4 s of task data. Across participants, mean task load index values increased systematically with increasing task difficulty and differed significantly between the different task versions. Actual or potential applications of this research include the use of multivariate EEG based methods to monitor task loading during naturalistic computer-based work.

We assessed working memory load during computer use with neural network pattern recognition applied to EEG spectral features. Eight participants performed high-, moderate-, and low-load working memory tasks. Frontal theta EEG activity increased and alpha activity decreased with increasing load. These changes probably reflect task difficulty-related increases in mental effort and the proportion of cortical resources allocated to task performance. In network analyses, test data segments from high and low load levels were discriminated with better than 95% accuracy. More than 80% of test data segments associated with a moderate load could be discriminated from high- or low-load data segments. Statistically significant classification was also achieved when applying networks trained with data from one day to data from another day, when applying networks trained with data from one task to data from another task, and when applying networks trained with data from a group of participants to data from new participants. These results support the feasibility of using EEG-based methods for monitoring cognitive load during human-computer interaction.

This report seeks to distil the main findings and recommendations from the EU-CIVCAP project and is organised around the following key themes: 1) Resources for conflict prevention and peacebuilding; 2) Prioritising conflict prevention; 3) An integrated approach to conflicts and crises; 4) Building inclusive and sustainable peace; and 5) Improving learning in conflict prevention and peacebuilding. ; This report seeks to distil the main findings and recommendations from the EU-CIVCAP project and is organised around the following key themes: 1) Resources for conflict prevention and peacebuilding; 2) Prioritising conflict prevention; 3) An integrated approach to conflicts and crises; 4) Building inclusive and sustainable peace; and 5) Improving learning in conflict prevention and peacebuilding.

This document summarises a list of prospective best practices in EU conflict prevention and peacebuilding that have been identified in various EU-CIVCAP research outputs. ; This document summarises a list of prospective best practices in EU conflict prevention and peacebuilding that have been identified in various EU-CIVCAP research outputs.