Neuro-ergonomic Research for Online Assessment of Cognitive Workload

reportActive / Technical Report | Accession Number: ADA551175 | Open PDF

Abstract:

This is the final report of a project to use electroencephalography based cognitive load measurement to understand its place in the technology landscape. This report summarizes the research activities, results of the user studies and research accomplishments out of the online assessment of cognitive workload project in the past year. At the start of the project, we carried out a literature review on electroencephalography EEG based cognitive load measurement CLM to understand the technology landscape. We then investigated some statistical features of EEG signals for online measurement. After that, we explored further on various spectral features, including entropy, weighted mean frequency and bandwidth. Finally we investigated the feasibility of using a low-cost EEG headset for CLM. All together, we had carried out 3 sets of user experiments to validate the research outcomes based on a common set of nletter word identification tasks while a subject is reading silently.

Author(s):
Chen, Fang
Author Organization(s):
NATIONAL INFORMATION COMMUNICATION TECHNOLOGY AUSTRALIA LTD EVELEIGH
Descriptive Note:
Final rept. 24 Aug 2010-23 Aug 2011
Pagination:
0092

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release
Distribution Statement:
Approved For Public Release; Distribution Is Unlimited.

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
AOARD-10-4163
Contract/Grant Number(s):
FA2386-10-1-4163
Monitor Series:
10-4163, AOARD
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_5.5_Direct; JCA_5.5.1_Communicate Intent and Guidance; JCA_5.5.2_Task; JCA_5.3_Planning; JCA_5.6.1_Assess Compliance with Guidance; JCA_5.6_Monitor; JCA_1.2.7_Experimentation; JCA_3_Force Application; JCA_3.1.1_Maneuver to Engage; JCA_3.1_Maneuver; JCA_6_Net Centric; JCA_1_Force Support; JCA_6.1.2_Wireless Transmission; JCA_6.1_Information Transport; JCA_1.2_Force Preparation; JCA_6.3.3_Spectrum Management; JCA_1.2.5_Lessons Learned; JCA_1.4_Force Support; JCA_1.4.1_Force Health Protection; JCA_1.2.3_Educating
Modernization Areas:
AI and Machine Learning; Fully Networked C3
Communities of Interest:
Biomedical
Descriptor(s):
*ELECTROENCEPHALOGRAPHY, *MEASUREMENT, *MENTAL ABILITY, *REAL TIME, AUSTRALIA, EXPERIMENTAL DESIGN, FEATURE EXTRACTION, MAN COMPUTER INTERFACE, PERFORMANCE(HUMAN), SIGNAL PROCESSING, STATISTICAL ANALYSIS, WORKLOAD
Field(s)/Group(s):
Psychology, Medicine and Medical Research, Human Factors Engineering and Man Machine Systems
Keyword(s):
BRAIN SCIENCE AND ENGINEERING, COGNITIVE LOAD THEORY, COGNITIVE MODELING, COGNITIVE WORKLOAD, COMPUTER AND USER INTERFACE, ELECTROENCEPHALOGRAMS, FOREIGN REPORTS, MENTAL DEMAND, SPECTRAL FEATURES, STATISTICAL FEATURES, WORKING MEMORY LOADS
Report Date:
2011 Oct 01
Creation Date:
2011 Nov 23