{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T18:08:49Z","timestamp":1777486129672,"version":"3.51.4"},"reference-count":112,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2023,9,6]],"date-time":"2023-09-06T00:00:00Z","timestamp":1693958400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"King Saud University","award":["RSPD2023R814"],"award-info":[{"award-number":["RSPD2023R814"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Augmented reality (AR) has been shown to improve productivity in industry, but its adverse effects (e.g., headaches, eye strain, nausea, and mental workload) on users warrant further investigation. The objective of this study is to investigate the effects of different instruction methods (i.e., HoloLens AR-based and paper-based instructions) and task complexity (low and high-demanding tasks) on cognitive workloads and performance. Twenty-eight healthy males with a mean age of 32.12 (SD 2.45) years were recruited in this study and were randomly divided into two groups. The first group performed the experiment using AR-based instruction, and the second group used paper-based instruction. Performance was measured using total task time (TTT). The cognitive workload was measured using the power of electroencephalograph (EEG) features and the NASA task load index (NASA TLX). The results showed that using AR instructions resulted in a reduction in maintenance times and an increase in mental workload compared to paper instructions, particularly for the more demanding tasks. With AR instruction, 0.45% and 14.94% less time was spent on low- and high-demand tasks, respectively, as compared to paper instructions. According to the EEG features, employing AR to guide employees during highly demanding maintenance tasks increased information processing, which could be linked with an increased germane cognitive load. Increased germane cognitive load means participants can better facilitate long-term knowledge and skill acquisition. These results suggested that AR is superior and recommended for highly demanding maintenance tasks since it speeds up maintenance times and increases the possibility that information is stored in long-term memory and encrypted for recalls.<\/jats:p>","DOI":"10.3390\/s23187698","type":"journal-article","created":{"date-parts":[[2023,9,6]],"date-time":"2023-09-06T10:23:42Z","timestamp":1693995822000},"page":"7698","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":43,"title":["A Neurophysiological Evaluation of Cognitive Load during Augmented Reality Interactions in Various Industrial Maintenance and Assembly Tasks"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9561-064X","authenticated-orcid":false,"given":"Faisal M.","family":"Alessa","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0128-1372","authenticated-orcid":false,"given":"Mohammed H.","family":"Alhaag","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3942-4559","authenticated-orcid":false,"given":"Ibrahim M.","family":"Al-harkan","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia"}]},{"given":"Mohamed Z.","family":"Ramadan","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1431-7290","authenticated-orcid":false,"given":"Fahad M.","family":"Alqahtani","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia"}]}],"member":"1968","published-online":{"date-parts":[[2023,9,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.jmsy.2020.02.010","article-title":"Smart Augmented Reality Instructional System for Mechanical Assembly towards Worker-Centered Intelligent Manufacturing","volume":"55","author":"Lai","year":"2020","journal-title":"J. Manuf. Syst."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1016\/j.jmsy.2021.02.017","article-title":"Worker Assistance Systems in Manufacturing: A Review of the State of the Art and Future Directions","volume":"59","author":"Mark","year":"2021","journal-title":"J. Manuf. Syst."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1108\/01443571111111955","article-title":"Theoretical versus Actual Product Variety: How Much Customisation Do Customers Really Demand?","volume":"31","author":"Holweg","year":"2011","journal-title":"Int. J. Oper. Prod. Manag."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1108\/01443579810196471","article-title":"A Framework for the Management of Product Variety","volume":"18","year":"1998","journal-title":"Int. J. Oper. Prod. Manag."},{"key":"ref_5","first-page":"104","article-title":"The Problem with Product Proliferation","volume":"95","author":"Mocker","year":"2017","journal-title":"Harv. Bus. Rev."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"236","DOI":"10.1080\/10447318.2011.581895","article-title":"Complexity Evaluation of Computer-Based Tasks","volume":"28","author":"Bedny","year":"2012","journal-title":"Int. J. Hum. Comput. Interact."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Aromaa, S., V\u00e4\u00e4t\u00e4nen, A., Aaltonen, I., and Heimonen, T. (2015, January 1\u20133). A Model for Gathering and Sharing Knowledge in Maintenance Work. Proceedings of the European Conference on Cognitive Ergonomics 2015, Warsaw, Poland.","DOI":"10.1145\/2788412.2788442"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Aromaa, S., V\u00e4\u00e4t\u00e4nen, A., Kaasinen, E., Uimonen, M., and Siltanen, S. (2018, January 10\u201311). Human Factors and Ergonomics Evaluation of a Tablet Based Augmented Reality System in Maintenance Work. Proceedings of the 22nd International Academic Mindtrek Conference, Tampere, Finland.","DOI":"10.1145\/3275116.3275125"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"778","DOI":"10.1080\/10494820.2013.815221","article-title":"Evaluating Virtual Reality and Augmented Reality Training for Industrial Maintenance and Assembly Tasks","volume":"23","author":"Gavish","year":"2015","journal-title":"Interact. Learn. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Gutierrez, T., Rodriguez, J., Velaz, Y., Casado, S., Suescun, A., and Sanchez, E.J. (2010, January 13\u201315). IMA-VR: A Multimodal Virtual Training System for Skills Transfer in Industrial Maintenance and Assembly Tasks. Proceedings of the 19th International Symposium in Robot and Human Interactive Communication, Viareggio, Italy.","DOI":"10.1109\/ROMAN.2010.5598643"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"685","DOI":"10.1016\/j.jmsy.2021.04.003","article-title":"An Experimental Study on Augmented Reality Assisted Manual Assembly with Occluded Components","volume":"61","author":"Chu","year":"2021","journal-title":"J. Manuf. Syst."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Funk, M., Kosch, T., and Schmidt, A. (2016, January 12\u201316). Interactive Worker Assistance: Comparing the Effects of in-Situ Projection, Head-Mounted Displays, Tablet, and Paper Instructions. Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Heidelberg, Germany.","DOI":"10.1145\/2971648.2971706"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"41","DOI":"10.3389\/frvir.2020.603189","article-title":"Methodology for the Field Evaluation of the Impact of Augmented Reality Tools for Maintenance Workers in the Aeronautic Industry","volume":"1","author":"Loizeau","year":"2021","journal-title":"Front. Virtual Real."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1109\/38.963459","article-title":"Recent Advances in Augmented Reality","volume":"21","author":"Azuma","year":"2001","journal-title":"IEEE Comput. Graph. Appl."},{"key":"ref_15","unstructured":"Jia, W., Zhu, J., Xie, L., and Yu, C. (November, January 30). Review of the Research on Augmented Reality Maintenance Assistant System of Mechanical System. Proceedings of the Journal of Physics: Conference Series, Shenyang, China."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Gao, L., Wu, F., Liu, L., and Wan, X. (2019, January 21\u201322). Construction of Equipment Maintenance Guiding System and Research on Key Technologies Based on Augmented Reality. Proceedings of the International Workshop of Advanced Manufacturing and Automation, Plymouth, UK.","DOI":"10.1007\/978-981-15-2341-0_34"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1016\/j.jmsy.2022.09.016","article-title":"Challenges and Opportunities on AR\/VR Technologies for Manufacturing Systems in the Context of Industry 4.0: A State of the Art Review","volume":"65","author":"Eswaran","year":"2022","journal-title":"J. Manuf. Syst."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1207\/s15516709cog1202_4","article-title":"Cognitive Load during Problem Solving: Effects on Learning","volume":"12","author":"Sweller","year":"1988","journal-title":"Cogn. Sci."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1007\/s10648-019-09465-5","article-title":"Cognitive Architecture and Instructional Design: 20 Years Later","volume":"31","author":"Sweller","year":"2019","journal-title":"Educ. Psychol. Rev."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1177\/0963721420922183","article-title":"Cognitive-Load Theory: Methods to Manage Working Memory Load in the Learning of Complex Tasks","volume":"29","author":"Paas","year":"2020","journal-title":"Curr. Dir. Psychol. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/B978-0-12-387691-1.00002-8","article-title":"Cognitive Load Theory","volume":"Volume 55","author":"Sweller","year":"2011","journal-title":"Psychology of Learning and Motivation"},{"key":"ref_22","unstructured":"Paas, F., and Sweller, J. (2014). The Cambridge Handbook of Multimedia Learning, Cambridge University Press."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1007\/s10648-014-9262-6","article-title":"Effects of the Physical Environment on Cognitive Load and Learning: Towards a New Model of Cognitive Load","volume":"26","author":"Choi","year":"2014","journal-title":"Educ. Psychol. Rev."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/S0959-4752(01)00014-7","article-title":"Cognitive Load Theory: Implications of Cognitive Load Theory on the Design of Learning","volume":"12","author":"Kirschner","year":"2002","journal-title":"Learn. Instr."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1007\/BF02213420","article-title":"Instructional Control of Cognitive Load in the Training of Complex Cognitive Tasks","volume":"6","author":"Paas","year":"1994","journal-title":"Educ. Psychol. Rev."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"250","DOI":"10.1007\/BF01421808","article-title":"Evaluating the Effectiveness of Augmented Reality Displays for a Manual Assembly Task","volume":"4","author":"Baird","year":"1999","journal-title":"Virtual Real."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.1109\/TVCG.2010.245","article-title":"Exploring the Benefits of Augmented Reality Documentation for Maintenance and Repair","volume":"17","author":"Henderson","year":"2010","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Loch, F., Quint, F., and Brishtel, I. (2016, January 14\u201316). Comparing Video and Augmented Reality Assistance in Manual Assembly. Proceedings of the 2016 12th International Conference on Intelligent Environments (IE), Athens, Greece.","DOI":"10.1109\/IE.2016.31"},{"key":"ref_29","first-page":"45","article-title":"A Manager\u2019s Guide to Augmented Reality","volume":"95","author":"Porter","year":"2017","journal-title":"Harv. Bus. Rev."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.compind.2016.11.004","article-title":"The Application of Augmented Reality Technologies for the Improvement of Occupational Safety in an Industrial Environment","volume":"85","year":"2017","journal-title":"Comput. Ind."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1207\/S15327590IJHC1603_7","article-title":"Augmented Reality (AR) for Assembly Processes Design and Experimental Evaluation","volume":"16","author":"Wiedenmaier","year":"2003","journal-title":"Int. J. Hum. Comput. Interact."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"e06277","DOI":"10.1016\/j.heliyon.2021.e06277","article-title":"A Review of Augmented Reality Systems and Their Effects on Mental Workload and Task Performance","volume":"7","author":"Jeffri","year":"2021","journal-title":"Heliyon"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1016\/j.chb.2018.04.054","article-title":"Augmented Reality Tools for Industrial Applications: What Are Potential Key Performance Indicators and Who Benefits?","volume":"87","author":"Jetter","year":"2018","journal-title":"Comput. Hum. Behav."},{"key":"ref_34","first-page":"1","article-title":"Augmented Reality Is Already Improving Worker Performance","volume":"13","author":"Abraham","year":"2017","journal-title":"Harv. Bus. Rev."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Tumler, J., Doil, F., Mecke, R., Paul, G., Schenk, M., Pfister, E.A., Huckauf, A., Bockelmann, I., and Roggentin, A. (2008, January 15\u201318). Mobile Augmented Reality in Industrial Applications: Approaches for Solution of User-Related Issues. Proceedings of the 2008 7th IEEE\/ACM International Symposium on Mixed and Augmented Reality, Cambridge, UK.","DOI":"10.1109\/ISMAR.2008.4637330"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.apergo.2016.05.005","article-title":"Comparing the Demands of Destination Entry Using Google Glass and the Samsung Galaxy S4 during Simulated Driving","volume":"58","author":"Beckers","year":"2017","journal-title":"Appl. Ergon."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/S0166-4115(08)62386-9","article-title":"Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research","volume":"52","author":"Hart","year":"1988","journal-title":"Adv. Psychol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1076","DOI":"10.1109\/JDT.2015.2451087","article-title":"EEG-Based Assessment of Stereoscopic 3D Visual Fatigue Caused by Vergence-Accommodation Conflict","volume":"11","author":"Zou","year":"2015","journal-title":"J. Disp. Technol."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Wang, Z., and Fu, S. (2013, January 21\u201326). A Layered Multi-Dimensional Description of Pilots Workload Based on Objective Measures. Proceedings of the International Conference on Engineering Psychology and Cognitive Ergonomics, Las Vegas, NV, USA.","DOI":"10.1007\/978-3-642-39354-9_23"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1007\/s42486-021-00062-6","article-title":"Human Factors\/Ergonomics Evaluation for Virtual Reality Headsets: A Review","volume":"3","author":"Chen","year":"2021","journal-title":"CCF Trans. Pervasive Comput. Interact."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1007\/s10648-010-9130-y","article-title":"Using Electroencephalography to Measure Cognitive Load","volume":"22","author":"Antonenko","year":"2010","journal-title":"Educ. Psychol. Rev."},{"key":"ref_42","unstructured":"Niedermeyer, E., and da Silva, F.H.L. (2005). Electroencephalography: Basic Principles, Clinical Applications, and Related Fields, Lippincott Williams & Wilkins."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.procs.2018.01.015","article-title":"The Correlation between EEG Signals as Measured in Different Positions on Scalp Varying with Distance","volume":"123","author":"Bhavsar","year":"2018","journal-title":"Procedia Comput. Sci."},{"key":"ref_44","first-page":"3","article-title":"The Ten-Twenty Electrode System of the International Federation. the Internanional Federation of Clinical Nenrophysiology","volume":"52","author":"Klem","year":"1999","journal-title":"Electroencephalogr. Clin. Neurophysiol. Suppl."},{"key":"ref_45","unstructured":"Buzsaki, G. (2006). Rhythms of the Brain, Oxford University Press."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"339","DOI":"10.1016\/0013-4694(90)90035-I","article-title":"Effects of Prolonged Mental Work on Functional Brain Topography","volume":"76","author":"Gevins","year":"1990","journal-title":"Electroencephalogr. Clin. Neurophysiol."},{"key":"ref_47","first-page":"206","article-title":"Extraction of the Eeg Signal Feature Based on Echo State Networks","volume":"29","author":"Han","year":"2012","journal-title":"Shengwu Yixue Gongchengxue Zazhi"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.psep.2021.03.050","article-title":"Electroencephalography (EEG) Based Cognitive Measures for Evaluating the Effectiveness of Operator Training","volume":"150","author":"Iqbal","year":"2021","journal-title":"Process Saf. Environ. Prot."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/0013-4694(83)90154-2","article-title":"A Method for Assessing Alertness Fluctuations from EEG Spectra","volume":"55","author":"Matousek","year":"1983","journal-title":"Electroencephalogr. Clin. Neurophysiol."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Cohen, M.X. (2014). Analyzing Neural Time Series Data: Theory and Practice, MIT Press.","DOI":"10.7551\/mitpress\/9609.001.0001"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1142\/S1793545808000224","article-title":"Discrimination of Mental Workload Levels in Human Subjects with Functional Near-Infrared Spectroscopy","volume":"1","author":"Sassaroli","year":"2008","journal-title":"J. Innov. Opt. Health Sci."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Sibi, S., Ayaz, H., Kuhns, D.P., Sirkin, D.M., and Ju, W. (2016, January 19\u201322). Monitoring Driver Cognitive Load Using Functional near Infrared Spectroscopy in Partially Autonomous Cars. Proceedings of the 2016 IEEE Intelligent Vehicles Symposium (IV), Gotenburg, Sweden.","DOI":"10.1109\/IVS.2016.7535420"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1080\/14639220210159717","article-title":"Neurophysiological Measures of Cognitive Workload during Human-Computer Interaction","volume":"4","author":"Gevins","year":"2003","journal-title":"Theor. Issues Ergon. Sci."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/S0165-0173(98)00056-3","article-title":"EEG Alpha and Theta Oscillations Reflect Cognitive and Memory Performance: A Review and Analysis","volume":"29","author":"Klimesch","year":"1999","journal-title":"Brain Res. Rev."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1027\/1618-3169.52.2.99","article-title":"The Functional Significance of Theta and Upper Alpha Oscillations","volume":"52","author":"Klimesch","year":"2005","journal-title":"Exp. Psychol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"1395","DOI":"10.1046\/j.1460-9568.2002.01975.x","article-title":"Frontal Theta Activity in Humans Increases with Memory Load in a Working Memory Task","volume":"15","author":"Jensen","year":"2002","journal-title":"Eur. J. Neurosci."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.biopsycho.2012.02.022","article-title":"Cerebral-Cortical Networking and Activation Increase as a Function of Cognitive-Motor Task Difficulty","volume":"90","author":"Rietschel","year":"2012","journal-title":"Biol. Psychol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1016\/0028-3932(78)90069-6","article-title":"Effects of Task Difficulty on EEG Measures of Cerebral Engagement","volume":"16","author":"Galin","year":"1978","journal-title":"Neuropsychologia"},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.ijpsycho.2017.10.004","article-title":"Using Theta and Alpha Band Power to Assess Cognitive Workload in Multitasking Environments","volume":"123","author":"Puma","year":"2018","journal-title":"Int. J. Psychophysiol."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1007\/s11571-015-9368-7","article-title":"Assessing a Learning Process with Functional ANOVA Estimators of EEG Power Spectral Densities","volume":"10","year":"2016","journal-title":"Cogn. Neurodyn."},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1016\/j.apergo.2019.01.012","article-title":"The Effects of Flight Complexity on Gaze Entropy: An Experimental Study with Fighter Pilots","volume":"77","author":"Rieiro","year":"2019","journal-title":"Appl. Ergon."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"106726","DOI":"10.1016\/j.compchemeng.2020.106726","article-title":"Dynamic Assessment of Control Room Operator\u2019s Cognitive Workload Using Electroencephalography (EEG)","volume":"141","author":"Iqbal","year":"2020","journal-title":"Comput. Chem. Eng."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"103273","DOI":"10.1016\/j.ergon.2022.103273","article-title":"Determining the Fatigue Associated with Different Task Complexity during Maintenance Operations in Males Using Electromyography Features","volume":"88","author":"Alhaag","year":"2022","journal-title":"Int. J. Ind. Ergon."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"793","DOI":"10.1002\/hbm.20309","article-title":"Relationship between Regional Hemodynamic Activity and Simultaneously Recorded EEG-Theta Associated with Mental Arithmetic-Induced Workload","volume":"28","author":"Sammer","year":"2007","journal-title":"Hum. Brain Mapp."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1599","DOI":"10.1038\/s41380-018-0052-2","article-title":"Human Brain Arousal in the Resting State: A Genome-Wide Association Study","volume":"24","author":"Jawinski","year":"2019","journal-title":"Mol. Psychiatry"},{"key":"ref_66","unstructured":"Hegerl, U., Sander, C., Ulke, C., B\u00f6ttger, D., Hensch, T., Huang, J., Mauche, N., and Olbrich, S. (2022, July 14). Vigilance Algorithm Leipzig (VIGALL) Version 2.1 Manual. Available online: https:\/\/research.uni-leipzig.de\/vigall\/."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1186\/s12938-017-0391-2","article-title":"Physiological Artifacts in Scalp EEG and Ear-EEG","volume":"16","author":"Kappel","year":"2017","journal-title":"Biomed. Eng. Online"},{"key":"ref_68","unstructured":"Britton, J.W., Frey, L.C., Hopp, J.L., Korb, P., Koubeissi, M.Z., Lievens, W.E., Pestana-Knight, E.M., and St Louis, E.K. (2016). Electroencephalography (EEG): An Introductory Text and Atlas of Normal and Abnormal Findings in Adults, Children, and Infants, American Epilepsy Society."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jneumeth.2003.10.009","article-title":"EEGLAB: An Open Source Toolbox for Analysis of Single-Trial EEG Dynamics Including Independent Component Analysis","volume":"134","author":"Delorme","year":"2004","journal-title":"J. Neurosci. Methods"},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Mullen, T., Kothe, C., Chi, Y.M., Ojeda, A., Kerth, T., Makeig, S., Cauwenberghs, G., and Jung, T.-P. (2013, January 3\u20137). Real-Time Modeling and 3D Visualization of Source Dynamics and Connectivity Using Wearable EEG. Proceedings of the Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE, Osaka, Japan.","DOI":"10.1109\/EMBC.2013.6609968"},{"key":"ref_71","unstructured":"Palmer, J., Kreutz-Delgado, K., and Makeig, S. (2010). An Adaptive Mixture of Independent Component Analyzers with Shared Components. Swart. Cent. Comput. Neurosci. Univ. Calif. San Diego CA Tech. Rep., 1\u201315. Available online: https:\/\/sccn.ucsd.edu\/~jason\/amica_a.pdf."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"67","DOI":"10.3233\/THC-209008","article-title":"Assessment of Mental Workload Based on Multi-Physiological Signals","volume":"28","author":"Fan","year":"2020","journal-title":"Technol. Health Care"},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Khalaf, T.M., Ramadan, M.Z., Ragab, A.E., Alhaag, M.H., and AlSharabi, K.A. (2021). Psychophysiological Responses to Manual Lifting of Unknown Loads. PLoS ONE, 16.","DOI":"10.1371\/journal.pone.0247442"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/TAU.1967.1161901","article-title":"The Use of Fast Fourier Transform for the Estimation of Power Spectra: A Method Based on Time Averaging over Short, Modified Periodograms","volume":"15","author":"Welch","year":"1967","journal-title":"IEEE Trans. Audio Electroacoust."},{"key":"ref_75","doi-asserted-by":"crossref","unstructured":"Werrlich, S., Daniel, A., Ginger, A., Nguyen, P.-A., and Notni, G. (2018, January 18\u201320). Comparing HMD-Based and Paper-Based Training. Proceedings of the 2018 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), Munich, Germany.","DOI":"10.1109\/ISMAR.2018.00046"},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1515\/bile-2015-0008","article-title":"Normalization of the Kolmogorov\u2013Smirnov and Shapiro\u2013Wilk Tests of Normality","volume":"52","author":"Hanusz","year":"2015","journal-title":"Biom. Lett."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"476","DOI":"10.1016\/j.promfg.2018.10.072","article-title":"Spatial Augmented Reality: An Application for Human Work in Smart Manufacturing Environment","volume":"17","author":"Mengoni","year":"2018","journal-title":"Procedia Manuf."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1080\/10447318.2014.994194","article-title":"Augmented Reality-Based Manual Assembly Support with Visual Features for Different Degrees of Difficulty","volume":"31","author":"Radkowski","year":"2015","journal-title":"Int. J. Hum. Comput. Interact."},{"key":"ref_79","doi-asserted-by":"crossref","unstructured":"Alves, J., Marques, B., Oliveira, M., Ara\u00fajo, T., Dias, P., and Santos, B.S. (2019, January 24\u201326). Comparing Spatial and Mobile Augmented Reality for Guiding Assembling Procedures with Task Validation. Proceedings of the 2019 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Cosme, Portugal.","DOI":"10.1109\/ICARSC.2019.8733642"},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Bendzioch, S., Bl\u00e4sing, D., and Hinrichsen, S. (2019, January 22\u201324). Comparison of Different Assembly Assistance Systems Under Ergonomic and Economic Aspects. Proceedings of the International Conference on Human Systems Engineering and Design: Future Trends and Applications, Pula, Croatia.","DOI":"10.1007\/978-3-030-27928-8_4"},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"760","DOI":"10.1016\/j.aei.2018.10.004","article-title":"The Effects of Augmented Reality on Improving Spatial Problem Solving for Object Assembly","volume":"38","author":"Deshpande","year":"2018","journal-title":"Adv. Eng. Informatics"},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Wickens, C.D., Helton, W.S., Hollands, J.G., and Banbury, S. (2021). Engineering Psychology and Human Performance, Routledge.","DOI":"10.4324\/9781003177616"},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1126\/science.1736359","article-title":"Working Memory","volume":"255","author":"Baddeley","year":"1992","journal-title":"Science"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"81","DOI":"10.1037\/h0043158","article-title":"The Magical Number Seven, plus or Minus Two: Some Limits on Our Capacity for Processing Information","volume":"63","author":"Miller","year":"1956","journal-title":"Psychol. Rev."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"13473","DOI":"10.1073\/pnas.93.24.13473","article-title":"Regional and Cellular Fractionation of Working Memory","volume":"93","year":"1996","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1016\/j.neuroimage.2011.06.023","article-title":"Optical Brain Monitoring for Operator Training and Mental Workload Assessment","volume":"59","author":"Ayaz","year":"2012","journal-title":"Neuroimage"},{"key":"ref_87","doi-asserted-by":"crossref","unstructured":"Tang, A., Owen, C., Biocca, F., and Mou, W. (2003, January 5\u201310). Comparative Effectiveness of Augmented Reality in Object Assembly. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Lauderdale, FL, USA.","DOI":"10.1145\/642611.642626"},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1109\/TETC.2014.2368833","article-title":"Challenges, Opportunities, and Future Trends of Emerging Techniques for Augmented Reality-Based Maintenance","volume":"2","author":"Lamberti","year":"2014","journal-title":"IEEE Trans. Emerg. Top. Comput."},{"key":"ref_89","doi-asserted-by":"crossref","unstructured":"Bosch, T., K\u00f6nemann, R., de Cock, H., and Van Rhijn, G. (2017, January 21\u201323). The Effects of Projected versus Display Instructions on Productivity, Quality and Workload in a Simulated Assembly Task. Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, Rhodes, Greece.","DOI":"10.1145\/3056540.3076189"},{"key":"ref_90","doi-asserted-by":"crossref","unstructured":"B\u00fcttner, S., Prilla, M., and R\u00f6cker, C. (2020, January 25\u201330). Augmented Reality Training for Industrial Assembly Work-Are Projection-Based AR Assistive Systems an Appropriate Tool for Assembly Training?. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA.","DOI":"10.1145\/3313831.3376720"},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1007\/s10111-016-0365-3","article-title":"Impact of Monitor-Based Augmented Reality for on-Site Industrial Manual Operations","volume":"18","author":"Re","year":"2016","journal-title":"Cogn. Technol. Work"},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.ijpsycho.2016.08.013","article-title":"EEG-Based Cognitive Load of Processing Events in 3D Virtual Worlds Is Lower than Processing Events in 2D Displays","volume":"122","author":"Dan","year":"2017","journal-title":"Int. J. Psychophysiol."},{"key":"ref_93","unstructured":"Aljuaid, A. (2016). A Neuroergonomics Study of Brain EEG\u2019s Activity During Manual Lifting Tasks, University of Central Florida."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"2443","DOI":"10.1002\/hbm.22783","article-title":"The Neural Correlates of Volitional Attention: A Combined FMRI and ERP Study","volume":"36","author":"Bengson","year":"2015","journal-title":"Hum. Brain Mapp."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.neuroimage.2017.05.048","article-title":"Deciding Where to Attend: Large-Scale Network Mechanisms Underlying Attention and Intention Revealed by Graph-Theoretic Analysis","volume":"157","author":"Liu","year":"2017","journal-title":"Neuroimage"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"1397","DOI":"10.1152\/jn.90241.2008","article-title":"Choosing Where to Attend and the Medial Frontal Cortex: An FMRI Study","volume":"100","author":"Taylor","year":"2008","journal-title":"J. Neurophysiol."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"381","DOI":"10.1134\/S0362119709030153","article-title":"Comparison of the Effects of the Subjective Complexity and Verbal Creativity on EEG Spectral Power Parameters","volume":"35","author":"Danko","year":"2009","journal-title":"Hum. Physiol."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1002\/hbm.20538","article-title":"The Creative Brain: Investigation of Brain Activity during Creative Problem Solving by Means of EEG and FMRI","volume":"30","author":"Fink","year":"2009","journal-title":"Hum. Brain Mapp."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1037\/0735-7044.121.1.224","article-title":"Brain Correlates of Self-Rated Originality of Ideas: Evidence from Event-Related Power and Phase-Locking Changes in the EEG","volume":"121","author":"Grabner","year":"2007","journal-title":"Behav. Neurosci."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.3758\/s13415-019-00699-y","article-title":"Creativity Is Associated with a Characteristic U-Shaped Function of Alpha Power Changes Accompanied by an Early Increase in Functional Coupling","volume":"19","author":"Rominger","year":"2019","journal-title":"Cogn. Affect. Behav. Neurosci."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1134\/S0362119710020027","article-title":"The Relationships between EEG $\u03b8$ and $\u03b2$ Oscillations and the Level of Creativity","volume":"36","author":"Volf","year":"2010","journal-title":"Hum. Physiol."},{"key":"ref_102","unstructured":"Benedek, M. (2018). Exploring Transdisciplinarity in Art and Sciences, Springer."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/S0304-3940(01)02094-8","article-title":"Human Anterior and Frontal Midline Theta and Lower Alpha Reflect Emotionally Positive State and Internalized Attention: High-Resolution EEG Investigation of Meditation","volume":"310","author":"Aftanas","year":"2001","journal-title":"Neurosci. Lett."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/S0167-8760(96)00052-9","article-title":"Intention as a Component of the Alpha-Rhythm Response to Mental Activity","volume":"24","author":"Shaw","year":"1996","journal-title":"Int. J. Psychophysiol."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1016\/S0167-8760(02)00107-1","article-title":"Paradox Lost? Exploring the Role of Alpha Oscillations during Externally vs. Internally Directed Attention and the Implications for Idling and Inhibition Hypotheses","volume":"47","author":"Cooper","year":"2003","journal-title":"Int. J. Psychophysiol."},{"key":"ref_106","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1016\/j.brainresrev.2006.06.003","article-title":"EEG Alpha Oscillations: The Inhibition--Timing Hypothesis","volume":"53","author":"Klimesch","year":"2007","journal-title":"Brain Res. Rev."},{"key":"ref_107","unstructured":"Haritos, T., and Macchiarella, N.D. (November, January 30). A Mobile Application of Augmented Reality for Aerospace Maintenance Training. Proceedings of the 24th Digital Avionics Systems Conference, Washington, DC, USA."},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1518\/001872008X288394","article-title":"Multiple Resources and Mental Workload","volume":"50","author":"Wickens","year":"2008","journal-title":"Hum. Factors"},{"key":"ref_109","unstructured":"Neumann, U., and Majoros, A. (1998, January 14\u201318). Cognitive, Performance, and Systems Issues for Augmented Reality Applications in Manufacturing and Maintenance. Proceedings of the IEEE 1998 Virtual Reality Annual International Symposium (Cat. No. 98CB36180), Atlanta, Georgia."},{"key":"ref_110","doi-asserted-by":"crossref","unstructured":"Rho, G., Callara, A.L., Condino, S., Ghiasi, S., Nardelli, M., Carbone, M., Ferrari, V., Greco, A., and Scilingo, E.P. (July, January 1). A Preliminary Quantitative EEG Study on Augmented Reality Guidance of Manual Tasks. Proceedings of the 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Virtual.","DOI":"10.1109\/MeMeA49120.2020.9137171"},{"key":"ref_111","doi-asserted-by":"crossref","unstructured":"Oshima, K., Moser, K.R., Rompapas, D.C., Swan, J.E., Ikeda, S., Yamamoto, G., Taketomi, T., Sandor, C., and Kato, H. (2016, January 19\u201320). SharpView: Improved Clarity of Defocused Content on Optical See-through Head-Mounted Displays. Proceedings of the 2016 IEEE Symposium on 3D User Interfaces (3DUI), Greenville, SC, USA.","DOI":"10.1109\/3DUI.2016.7460049"},{"key":"ref_112","unstructured":"Birkfellner, W., Huber, K., Watzinger, F., Figl, M., Wanschitz, F., Hanel, R., Rafolt, D., Ewers, R., and Bergmann, H. (2000, January 5\u20136). Development of the Varioscope AR. A See-through HMD for Computer-Aided Surgery. Proceedings of the IEEE and ACM International Symposium on Augmented Reality (ISAR 2000), Munich, Germany."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/18\/7698\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T20:46:15Z","timestamp":1760129175000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/23\/18\/7698"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,6]]},"references-count":112,"journal-issue":{"issue":"18","published-online":{"date-parts":[[2023,9]]}},"alternative-id":["s23187698"],"URL":"https:\/\/doi.org\/10.3390\/s23187698","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,9,6]]}}}