{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,7]],"date-time":"2025-07-07T09:07:58Z","timestamp":1751879278054,"version":"3.37.3"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319720371"},{"type":"electronic","value":"9783319720388"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-72038-8_6","type":"book-chapter","created":{"date-parts":[[2017,11,30]],"date-time":"2017-11-30T04:53:53Z","timestamp":1512017633000},"page":"60-72","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Mental Workload Assessment for UAV Traffic Control Using Consumer-Grade BCI Equipment"],"prefix":"10.1007","author":[{"given":"Federica","family":"Bazzano","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paolo","family":"Montuschi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabrizio","family":"Lamberti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gianluca","family":"Paravati","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Silvia","family":"Casola","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gabriel","family":"Cer\u00f2n","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jaime","family":"Londo\u00f1o","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Flavio","family":"Tanese","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,12,1]]},"reference":[{"key":"6_CR1","doi-asserted-by":"crossref","unstructured":"Kopeikin, A., Clare, A., Toupet, O., How, J., Cummings, M.: Flight testing a heterogeneous multi-UAV system with human supervision. In: AIAA Guidance, Navigation, and Control Conference, p. 4825 (2012)","DOI":"10.2514\/6.2012-4825"},{"key":"6_CR2","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1016\/S1479-3601(05)07018-9","volume-title":"Human Factors of Remotely Operated Vehicles","author":"R Parasuraman","year":"2006","unstructured":"Parasuraman, R., Miller, C.: Delegation interfaces for human supervision of multiple unmanned vehicles: theory, experiments, and practical applications. In: Cooke, N.J., Pringle, H.L., Pedersen, H.K., Connor, O. (eds.) Human Factors of Remotely Operated Vehicles, pp. 251\u2013266. Emerald Group Publishing Limited, Bingley (2006)"},{"key":"6_CR3","doi-asserted-by":"crossref","unstructured":"Wickens, C.D., Dixon, S.: Workload demands of remotely piloted vehicle supervision and control: (1) single vehicle performance. Technical report, DTIC Document (2002)","DOI":"10.21236\/ADA496813"},{"key":"6_CR4","unstructured":"Sarris, Z., Atlas, S.: Survey of UAV applications in civil markets. In: Proceedings of the 9th Mediterranean Conference on Control and Automation, pp. 1\u201311 (2001)"},{"key":"6_CR5","doi-asserted-by":"crossref","unstructured":"Freedy, A., Sert, O., Freedy, E., McDonough, J., Weltman, G., Tambe, M., Gupta, T., Grayson, W., Cabrera, P.: Multiagent adjustable autonomy framework (MAAF) for multi-robot, multi-human teams. In: International Symposium on Collaborative Technologies and Systems, CTS 2008, pp. 498\u2013505. IEEE (2008)","DOI":"10.1109\/CTS.2008.4543970"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"C\u00f4t\u00e9, N., Canu, A., Bouzid, M., Mouaddib, A.I.: Humans-robots sliding collaboration control in complex environments with adjustable autonomy. In: Proceedings of the 2012 IEEE\/WIC\/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology, vol. 2, pp. 146\u2013153. IEEE Computer Society (2012)","DOI":"10.1109\/WI-IAT.2012.215"},{"key":"6_CR7","doi-asserted-by":"crossref","unstructured":"Heger, F.W., Singh, S.: Sliding autonomy for complex coordinated multi-robot tasks: analysis & experiments (2006)","DOI":"10.15607\/RSS.2006.II.003"},{"key":"6_CR8","unstructured":"Cain, B.: A review of the mental workload literature. Technical report, DTIC Document (2007)"},{"issue":"3","key":"6_CR9","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1561\/1100000005","volume":"1","author":"MA Goodrich","year":"2007","unstructured":"Goodrich, M.A., Schultz, A.C.: Human-robot interaction: a survey. Found. Trends Hum. Comput. Interact. 1(3), 203\u2013275 (2007)","journal-title":"Found. Trends Hum. Comput. Interact."},{"key":"6_CR10","unstructured":"Miller, S.: Workload measures. National Advanced Driving Simulator, Iowa City, USA (2001)"},{"key":"6_CR11","doi-asserted-by":"crossref","unstructured":"Lim, W.L., Sourina, O., Liu, Y., Wang, L.: EEG-based mental workload recognition related to multitasking. In: 2015 10th International Conference on Information, Communications and Signal Processing (ICICS), pp. 1\u20134. IEEE (2015)","DOI":"10.1109\/ICICS.2015.7459834"},{"issue":"3","key":"6_CR12","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1109\/THMS.2015.2476818","volume":"46","author":"S Wang","year":"2016","unstructured":"Wang, S., Gwizdka, J., Chaovalitwongse, W.A.: Using wireless eeg signals to assess memory workload in the $$ n $$ n -back task. IEEE Trans. Hum. Mach. Syst. 46(3), 424\u2013435 (2016)","journal-title":"IEEE Trans. Hum. Mach. Syst."},{"key":"6_CR13","doi-asserted-by":"crossref","unstructured":"Walter, C., Schmidt, S., Rosenstiel, W., Gerjets, P., Bogdan, M.: Using cross-task classification for classifying workload levels in complex learning tasks. In: 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII), pp. 876\u2013881. IEEE (2013)","DOI":"10.1109\/ACII.2013.164"},{"key":"6_CR14","doi-asserted-by":"crossref","unstructured":"Hayashi, T., Kishi, R.: Utilization of NASA-TLX for workload evaluation of gaze-writing systems. In: 2014 IEEE International Symposium on Multimedia (ISM), pp. 271\u2013272. IEEE (2014)","DOI":"10.1109\/ISM.2014.18"},{"key":"6_CR15","doi-asserted-by":"crossref","unstructured":"Cannon, D., Siegel, M.: Perceived mental workload and operator performance of dexterous manipulators under time delay with master-slave interfaces. In: 2015 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), pp. 1\u20136. IEEE (2015)","DOI":"10.1109\/CIVEMSA.2015.7158613"},{"issue":"8","key":"6_CR16","doi-asserted-by":"crossref","first-page":"951","DOI":"10.1080\/00140139.2010.489969","volume":"53","author":"P Squire","year":"2010","unstructured":"Squire, P., Parasuraman, R.: Effects of automation and task load on task switching during human supervision of multiple semi-autonomous robots in a dynamic environment. Ergonomics 53(8), 951\u2013961 (2010)","journal-title":"Ergonomics"},{"key":"6_CR17","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/S0166-4115(08)62386-9","volume":"52","author":"SG Hart","year":"1988","unstructured":"Hart, S.G., Staveland, L.E.: Development of NASA-TLX (task load index): results of empirical and theoretical research. Adv. Psychol. 52, 139\u2013183 (1988)","journal-title":"Adv. Psychol."},{"key":"6_CR18","doi-asserted-by":"crossref","unstructured":"Wilson, G.F., Monett, C.T., Russell, C.A.: Operator functional state classification during a simulated ATC task using EEG. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 41, p. 1382. Sage Publications, Los Angeles (1997)","DOI":"10.1177\/1071181397041002171"},{"key":"6_CR19","doi-asserted-by":"crossref","unstructured":"Berivanlou, N.H., Setarehdan, S.K., Noubari, H.A.: Quantifying mental workload of operators performing n-back working memory task: toward fNIRS based passive BCI system. In: 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering (ICBME), pp. 140\u2013145. IEEE (2016)","DOI":"10.1109\/ICBME.2016.7890945"},{"key":"6_CR20","doi-asserted-by":"crossref","unstructured":"Sugimoto, I., Kitamura, K., Murai, K., Wang, Y., Wang, J.: Study on relation between operator and trainee\u2019s mental workload for ship maneuvering simulator exercise using heart rate variability. In: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE (2016). ISSN 000768\u2013000772","DOI":"10.1109\/SMC.2016.7844334"},{"issue":"4","key":"6_CR21","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1016\/j.clinph.2007.12.003","volume":"119","author":"M Besserve","year":"2008","unstructured":"Besserve, M., Philippe, M., Florence, G., Laurent, F., Garnero, L., Martinerie, J.: Prediction of performance level during a cognitive task from ongoing eeg oscillatory activities. Clin. Neurophysiol. 119(4), 897\u2013908 (2008)","journal-title":"Clin. Neurophysiol."},{"issue":"1","key":"6_CR22","doi-asserted-by":"crossref","first-page":"112","DOI":"10.1159\/000230807","volume":"56","author":"CT Lin","year":"2010","unstructured":"Lin, C.T., Ko, L.W., Chang, M.H., Duann, J.R., Chen, J.Y., Su, T.P., Jung, T.P.: Review of wireless and wearable electroencephalogram systems and brain-computer interfaces-a mini-review. Gerontology 56(1), 112\u2013119 (2010)","journal-title":"Gerontology"},{"key":"6_CR23","unstructured":"Madgwick, S., Turner, C., Harwin, W.: Adaptation of an commercially available stabilised R\/C helicopter to a fully autonomous surveillance UAV. In: Bristol International Unmanned Air Vehicle Systems (U4 JS) Conference (2009)"},{"key":"6_CR24","unstructured":"Gageik, N., M\u00fcller, T., Montenegro, S.: Obstacle detection and collision avoidance using ultrasonic distance sensors for an autonomous quadrocopter. University of W\u00fcrzburg, Aerospace Information Technology, W\u00fcrzburg, Germany, September 2012"},{"issue":"77","key":"6_CR25","first-page":"e50602","volume":"26","author":"TC Bulea","year":"2013","unstructured":"Bulea, T.C., Kilicarslan, A., Ozdemir, R., Paloski, W.H., Contreras-Vidal, J.L.: Simultaneous scalp electroencephalography (EEG), electromyography (EMG), and whole-body segmental inertial recording for multi-modal neural decoding. JoVE (J. Visual. Exp.) 26(77), e50602 (2013)","journal-title":"JoVE (J. Visual. Exp.)"},{"issue":"1","key":"6_CR26","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.jneumeth.2003.10.009","volume":"134","author":"A Delorme","year":"2004","unstructured":"Delorme, A., Makeig, S.: EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. J. Neurosci. Methods 134(1), 9\u201321 (2004)","journal-title":"J. Neurosci. Methods"},{"key":"6_CR27","unstructured":"Kothe, C.: The artifact subspace reconstruction method (2013)"},{"key":"6_CR28","doi-asserted-by":"crossref","unstructured":"Kawintiranon, K., Buatong, Y., Vateekul, P.: Online music emotion prediction on multiple sessions of EEG data using SVM. In: 2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE), pp. 1\u20136. IEEE (2016)","DOI":"10.1109\/JCSSE.2016.7748921"},{"key":"6_CR29","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-7138-7","volume-title":"An Introduction to Statistical Learning: With Applications in R","author":"G James","year":"2014","unstructured":"James, G., Witten, D., Hastie, T.: An Introduction to Statistical Learning: With Applications in R. Springer, New York (2014). https:\/\/doi.org\/10.1007\/978-1-4614-7138-7"}],"container-title":["Lecture Notes in Computer Science","Intelligent Human Computer Interaction"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-72038-8_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,7]],"date-time":"2019-10-07T00:28:07Z","timestamp":1570408087000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-72038-8_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319720371","9783319720388"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-72038-8_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}