Reduced mental load in learning a motor visual task with virtual 3D method

[1]  Judith Molka-Danielsen,et al.  Designing oral participation in Second Life – a comparative study of two language proficiency courses , 2009, ReCALL.

[2]  Mehmet Göktürk,et al.  Psychophysiological measures of human cognitive states applied in human computer interaction , 2011, WCIT.

[3]  Maarten A. Hogervorst,et al.  Combining and comparing EEG, peripheral physiology and eye-related measures for the assessment of mental workload , 2014, Front. Neurosci..

[4]  Daniel Brandeis,et al.  Frontal Midline Theta Reflects Individual Task Performance in a Working Memory Task , 2014, Brain Topography.

[5]  Minhong Wang,et al.  Using 3D virtual environments to facilitate students in constructivist learning , 2013, Decis. Support Syst..

[6]  F. Harris On the use of windows for harmonic analysis with the discrete Fourier transform , 1978, Proceedings of the IEEE.

[7]  Chris Fowler,et al.  Virtual reality and learning: Where is the pedagogy? , 2015, Br. J. Educ. Technol..

[8]  E. Basar,et al.  Gamma, alpha, delta, and theta oscillations govern cognitive processes. , 2001, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[9]  Víctor Yepes,et al.  Model for Systematic Innovation in Construction Companies , 2014 .

[10]  Nian-Shing Chen,et al.  Taking a signal: A review of gesture-based computing research in education , 2014, Comput. Educ..

[11]  Klaus Oestreicher,et al.  The Virtual University and Avatar Technology: E-learning through Future Technology , 2010 .

[12]  Yoko Yamaguchi,et al.  Dynamic links between theta executive functions and alpha storage buffers in auditory and visual working memory , 2010, The European journal of neuroscience.

[13]  K. Newell,et al.  Modulation of cortical activity in 2D versus 3D virtual reality environments: an EEG study. , 2015, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[14]  W. Klimesch EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis , 1999, Brain Research Reviews.

[15]  Thomas Huk,et al.  Who benefits from learning with 3D models? the case of spatial ability , 2006, J. Comput. Assist. Learn..

[16]  C. Neuper,et al.  EEG alpha band dissociation with increasing task demands. , 2005, Brain research. Cognitive brain research.

[17]  F. Paas,et al.  Cognitive Load Measurement as a Means to Advance Cognitive Load Theory , 2003 .

[18]  Norbert Jausovec,et al.  Differences in induced gamma and upper alpha oscillations in the human brain related to verbal/performance and emotional intelligence. , 2005, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[19]  Cristian Hofmann,et al.  Integrating cognitive load theory and concepts of human-computer interaction , 2010, Comput. Hum. Behav..

[20]  Pavlo D. Antonenko,et al.  Using Electroencephalography to Measure Cognitive Load , 2010 .

[21]  A. Testa,et al.  On the Processing of harmonics and interharmonics: using Hanning window in standard framework , 2004, IEEE Transactions on Power Delivery.

[22]  Yehudit Judy Dori,et al.  High-School Chemistry Students' Performance and Gender Differences in a Computerized Molecular Modeling Learning Environment , 1999 .

[23]  Randall D. Spain,et al.  Measurement Invariance of the Nasa TLX , 2008 .

[24]  E. Basar,et al.  Are cognitive processes manifested in event-related gamma, alpha, theta and delta oscillations in the EEG? , 1999, Neuroscience Letters.

[25]  P. Welch The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .

[26]  Timothy R. B. Taylor,et al.  Cognitive Workload Demands Using 2D and 3D Spatial Engineering Information Formats , 2014 .

[27]  Bart van den Hooff,et al.  Lost in space? Cognitive fit and cognitive load in 3D virtual environments , 2013, Comput. Hum. Behav..

[28]  U. Goswami Mind, Brain, and Literacy: Biomarkers as Usable Knowledge for Education , 2009 .

[29]  Gary R. Morrison,et al.  Research on cognitive load theory: Application to e-learning , 2005 .

[30]  R. Kass,et al.  Automatic correction of ocular artifacts in the EEG: a comparison of regression-based and component-based methods , 2004 .

[31]  D. Sujan,et al.  Origami Theory and Its Applications: A Literature Review , 2013 .

[32]  Marilyn Tremaine,et al.  Understanding visualization through spatial ability differences , 2005, VIS 05. IEEE Visualization, 2005..

[33]  Youngkyun Baek,et al.  Exploring factors of media characteristic influencing flow in learning through virtual worlds , 2011, Comput. Educ..

[34]  John Sweller,et al.  Instructional animations can be superior to statics when learning human motor skills , 2009, Comput. Hum. Behav..

[35]  Kristian Lukander,et al.  Estimating Brain Load from the EEG , 2009, TheScientificWorldJournal.

[36]  I. Gere,et al.  Multimedia: Differences in cognitive processes observed with EEG , 1999 .

[37]  Antonio Frisoli,et al.  Understanding and Realizing Presence in the Presenccia Project , 2007, IEEE Computer Graphics and Applications.

[38]  Jan R. Wessel,et al.  Frontal theta is a signature of successful working memory manipulation , 2012, Experimental Brain Research.

[39]  J. Merriënboer,et al.  Research on cognitive load theory and its design implications for e-learning , 2005 .

[40]  Desney S. Tan,et al.  Feasibility and pragmatics of classifying working memory load with an electroencephalograph , 2008, CHI.

[41]  Mark Peterson,et al.  Towards a Research Agenda for the Use of Three-Dimensional Virtual Worlds in Language Learning , 2011 .

[42]  Min-Chul Park,et al.  Overview of Measurement Methods for Factors Affecting the Human Visual System in 3D Displays , 2015, Journal of Display Technology.

[43]  Paul Chandler,et al.  Contemporary cognitive load theory research: The good, the bad and the ugly , 2011, Comput. Hum. Behav..

[44]  J. A. Palyvos,et al.  3D visualization types in multimedia applications for science learning: A case study for 8th grade students in Greece , 2009, Comput. Educ..

[45]  Norbert Jaušovec,et al.  Working memory training: Improving intelligence – Changing brain activity , 2012, Brain and Cognition.

[46]  R. Mayer,et al.  Interactive Multimodal Learning Environments , 2007 .

[47]  Fang Chen,et al.  Characterizing working memory load using EEG delta activity , 2011, 2011 19th European Signal Processing Conference.

[48]  Slava Kalyuga,et al.  Instructional designs for the development of transferable knowledge and skills: A cognitive load perspective , 2009, Comput. Hum. Behav..

[49]  Cyril R. Pernet,et al.  Misconceptions in the use of the General Linear Model applied to functional MRI: a tutorial for junior neuro-imagers , 2014, Front. Neurosci..

[50]  D. Lubinski,et al.  Spatial ability for STEM domains: Aligning over 50 years of cumulative psychological knowledge solidifies its importance. , 2009 .

[51]  Bens Pardamean,et al.  3-D INTERFACE DESIGN OF THE VIRTUAL WORLD IN E-LEARNING , 2014 .

[52]  F. Rösler,et al.  Theta and alpha oscillations during working-memory maintenance predict successful long-term memory encoding , 2010, Neuroscience Letters.

[53]  Andreas G. Boudouvis,et al.  The impact of 3D visualization types in instructional multimedia applications for teaching science , 2012 .

[54]  Barney Dalgarno,et al.  What are the learning affordances of 3-D virtual environments? , 2010, Br. J. Educ. Technol..

[55]  C. Mélan,et al.  What is the relationship between mental workload factors and cognitive load types? , 2012, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[56]  W J Levy,et al.  Effect of Epoch Length on Power Spectrum Analysis of the EEG , 1987, Anesthesiology.

[57]  Hubert D. Zimmer,et al.  Visual and spatial working memory: From boxes to networks , 2008, Neuroscience & Biobehavioral Reviews.

[58]  David Chik,et al.  Theta-alpha cross-frequency synchronization facilitates working memory control – a modeling study , 2013, SpringerPlus.

[59]  C. Wickens,et al.  Situation Awareness, Mental Workload, and Trust in Automation: Viable, Empirically Supported Cognitive Engineering Constructs , 2008 .

[60]  Gernot R. Müller-Putz,et al.  Effects of mental workload and fatigue on the P300, alpha and theta band power during operation of an ERP (P300) brain–computer interface , 2014, Biological Psychology.

[61]  Manolya Kavakli,et al.  Using Cognitive Load Measurement and Spatial Ability Test to Identify Talented Students in Three-Dimensional Computer Graphics Programming , 2013 .