Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Towards a Multimodal Model of Cognitive Workload through Synchronous Optical Brain Imaging and Eye Tracking Measures
Date
2018-12-14
Author
İşbilir, Erdinç
Çakır, Murat Perit
Acartürk, Cengiz
Tekerek, Ali Şimşek
Metadata
Show full item record
Item Usage Stats
127
views
0
downloads
Cite This
URI
https://www.frontiersin.org/10.3389/conf.fnhum.2018.227.00089/event_abstract?sname=2nd_International_Neuroergonomics_Conference
https://hdl.handle.net/11511/87987
Collections
Unverified, Conference / Seminar
Suggestions
OpenMETU
Core
Towards a Multimodal Model of Cognitive Workload Through Synchronous Optical Brain Imaging and Eye Tracking Measures
Isbilir, Erdinc; Çakır, Murat Perit; Acartürk, Cengiz; Tekerek, Ali Simsek (2019-10-23)
Recent advances in neuroimaging technologies have rendered multimodal analysis of operators' cognitive processes in complex task settings and environments increasingly more practical. In this exploratory study, we utilized optical brain imaging and mobile eye tracking technologies to investigate the behavioral and neurophysiological differences among expert and novice operators while they operated a human-machine interface in normal and adverse conditions. In congruence with related work, we observed that e...
Towards an Evidence-Based Decision Support Tool for Management of Musculoskeletal Conditions
Yet, Barbaros; Morrissey, Dylan (2018-01-01)
Musculoskeletal (MSK) problems present an increasing burden for the healthcare sector, particularly in ageing populations. Advances in evidence are often slow to influence clinical decisions, suggesting decision support would be beneficial. We propose a Bayesian network (BN) for providing evidence-based decision support as it can explicitly represent domain knowledge as causal relations and allows both domain knowledge and clinical data to be combined to create a usable decision model. We make a preliminary...
Towards a Process Capability Assessment Model for Government Domain
Gökalp, Ebru (2016-06-10)
Government Process Capability Determination Model is developed based on ISO/IEC 15504 by the authors in order to assess the extent of the processes to be consistently applied, managed, and controlled across governmental agencies. Government Process Reference Model consists of definitions of common processes across all governmental agencies as well as a generic process definition for agency-specific governmental processes. This study covers the development of the generic process definition in detail. AWL int...
Towards an in vitro model of macrophage-mediated degradation of polymer scaffolds
Van Kooten, T. G.; Bat, Erhan; Kuijer, R.; Grijpma, D. W. (2012-09-01)
Towards a framework of technological knowledge as content knowledge
Andzenge, Senenge T; Karahan, Engin; Ellis, Joshua (2015-10-03)
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. İşbilir, M. P. Çakır, C. Acartürk, and A. Ş. Tekerek, “Towards a Multimodal Model of Cognitive Workload through Synchronous Optical Brain Imaging and Eye Tracking Measures,” 2018, Accessed: 00, 2021. [Online]. Available: https://www.frontiersin.org/10.3389/conf.fnhum.2018.227.00089/event_abstract?sname=2nd_International_Neuroergonomics_Conference.