{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,10]],"date-time":"2024-08-10T09:49:08Z","timestamp":1723283348546},"reference-count":53,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,4,22]],"date-time":"2023-04-22T00:00:00Z","timestamp":1682121600000},"content-version":"am","delay-in-days":264,"URL":"http:\/\/www.elsevier.com\/open-access\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T00:00:00Z","timestamp":1659312000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["SCH-1521972"],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1016\/j.eswa.2022.117167","type":"journal-article","created":{"date-parts":[[2022,4,4]],"date-time":"2022-04-04T07:34:04Z","timestamp":1649057644000},"page":"117167","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":6,"special_numbering":"C","title":["Detection of driver health condition by monitoring driving behavior through machine learning from observation"],"prefix":"10.1016","volume":"199","author":[{"given":"Avelino J.","family":"Gonzalez","sequence":"first","affiliation":[]},{"given":"Josiah M.","family":"Wong","sequence":"additional","affiliation":[]},{"given":"Emily M.","family":"Thomas","sequence":"additional","affiliation":[]},{"given":"Alec","family":"Kerrigan","sequence":"additional","affiliation":[]},{"given":"Lauren","family":"Hastings","sequence":"additional","affiliation":[]},{"given":"Andres","family":"Posadas","sequence":"additional","affiliation":[]},{"given":"Kevin","family":"Negy","sequence":"additional","affiliation":[]},{"given":"Annie S.","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Santiago","family":"Onta\u00f1on","sequence":"additional","affiliation":[]},{"given":"Yi-Ching","family":"Lee","sequence":"additional","affiliation":[]},{"given":"Flaura K.","family":"Winston","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"4","key":"10.1016\/j.eswa.2022.117167_b0005","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1521\/adhd.2019.27.4.8","article-title":"Expert recommendations for improving driving safety for teens and adult drivers with ADHD","volume":"27","author":"Aduen","year":"2019","journal-title":"The ADHD Report"},{"issue":"17\u201318","key":"10.1016\/j.eswa.2022.117167_b0010","doi-asserted-by":"crossref","first-page":"6457","DOI":"10.1016\/j.eswa.2015.04.015","article-title":"Correcting flawed expert knowledge through reinforcement learning","volume":"42","author":"Aihe","year":"2015","journal-title":"Expert Systems with Applications."},{"issue":"5","key":"10.1016\/j.eswa.2022.117167_b0015","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1016\/j.robot.2008.10.024","article-title":"A survey of robot learning from demonstration","volume":"57","author":"Argall","year":"2009","journal-title":"Robotics and Autonomous Systems."},{"issue":"2","key":"10.1016\/j.eswa.2022.117167_b0020","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1542\/peds.92.2.212","article-title":"Driving-related risks and outcomes of attention deficit hyperactivity disorder in adolescents and young adults: A 3-to 5-year follow-up survey","volume":"92","author":"Barkley","year":"1993","journal-title":"Pediatrics."},{"issue":"2","key":"10.1016\/j.eswa.2022.117167_b0025","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.jsr.2005.01.001","article-title":"Effects of two doses of methylphenidate on simulator driving performance in adults with attention deficit hyperactivity disorder","volume":"36","author":"Barkley","year":"2005","journal-title":"Journal of Safety Research."},{"issue":"6","key":"10.1016\/j.eswa.2022.117167_b0030","doi-asserted-by":"crossref","first-page":"601","DOI":"10.1016\/j.jadohealth.2012.03.005","article-title":"The effects of lisdexamfetamine dimesylate on driving behaviors in young adults with ADHD assessed with the Manchester Driving Behavior Questionnaire","volume":"51","author":"Biederman","year":"2012","journal-title":"Journal of Adolescent Health."},{"key":"10.1016\/j.eswa.2022.117167_b0035","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.jpsychires.2020.01.006","article-title":"A literature review and meta-analysis on the effects of ADHD medications on functional outcomes","volume":"123","author":"Boland","year":"2020","journal-title":"Journal of Psychiatric Research."},{"issue":"8","key":"10.1016\/j.eswa.2022.117167_b0040","doi-asserted-by":"crossref","first-page":"756","DOI":"10.1001\/jamapediatrics.2017.0910","article-title":"Motor vehicle crash risk among adolescents and young adults with Attention-Deficit\/Hyperactivity Disorder","volume":"171","author":"Curry","year":"2017","journal-title":"JAMA Pediatrics"},{"issue":"6","key":"10.1016\/j.eswa.2022.117167_b0045","doi-asserted-by":"crossref","DOI":"10.1542\/peds.2018-2305","article-title":"Traffic crashes, violations, and suspensions among young drivers with ADHD","volume":"143","author":"Curry","year":"2019","journal-title":"Pediatrics"},{"issue":"3","key":"10.1016\/j.eswa.2022.117167_b0050","doi-asserted-by":"crossref","first-page":"1355","DOI":"10.1109\/TITS.2012.2188891","article-title":"Differentiating alcohol-induced driving behavior using steering wheel signals","volume":"13","author":"Das","year":"2012","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"issue":"1","key":"10.1016\/j.eswa.2022.117167_b0055","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1007\/s007790170019","article-title":"Understanding and using context","volume":"5","author":"Dey","year":"2001","journal-title":"Personal and Ubiquitous Computing"},{"issue":"12","key":"10.1016\/j.eswa.2022.117167_b0060","doi-asserted-by":"crossref","first-page":"1078","DOI":"10.1037\/ccp0000137","article-title":"Efficacy of a family-focused intervention for young drivers with Attention-deficit Hyperactivity Disorder","volume":"84","author":"Fabiano","year":"2016","journal-title":"Journal of Consulting and Clinical Psychology"},{"issue":"2","key":"10.1016\/j.eswa.2022.117167_b0065","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1111\/jcpp.12899","article-title":"Practitioner Review: Emotional dysregulation in attention-deficit\/hyperactivity disorder \u2013 implications for clinical recognition and intervention","volume":"60","author":"Faraoner","year":"2019","journal-title":"Journal of Child Psychology and Psychiatry"},{"key":"10.1016\/j.eswa.2022.117167_b0070","unstructured":"Fernlund, Hans. Evolving Models from Observed Human Performance. Dissertation, University of Central Florida. 2006. pg. 59, 122, 128."},{"issue":"7","key":"10.1016\/j.eswa.2022.117167_b0075","doi-asserted-by":"crossref","first-page":"822","DOI":"10.1002\/int.20291","article-title":"Formalizing Context-Based Reasoning - A modeling paradigm for representing tactical human behavior","volume":"23","author":"Gonzalez","year":"2008","journal-title":"International Journal of Intelligent Systems"},{"key":"10.1016\/j.eswa.2022.117167_b0080","unstructured":"Grethlein, D. and Onta\u00f1\u00f3n, S. (2020).Spatially aligned clustering of driving simulator data. Proceedings of the Florida Artificial Intelligence Research Society Conference (FLAIRS) 2020."},{"issue":"6","key":"10.1016\/j.eswa.2022.117167_b0085","doi-asserted-by":"crossref","DOI":"10.2196\/13995","article-title":"Simulator pre-screening of underprepared drivers prior to licensing on-road examination: Clustering of virtual driving test time series data","volume":"22","author":"Grethlein","year":"2020","journal-title":"Journal of Medical Internet Research"},{"issue":"1","key":"10.1016\/j.eswa.2022.117167_b0090","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1111\/j.1469-7610.2009.02128.x","article-title":"Electrophysiological indices of abnormal error-processing in adolescents with attention deficit hyperactivity disorder (ADHD)","volume":"51","author":"Groom","year":"2010","journal-title":"Journal of Child Psychology and Psychiatry"},{"key":"10.1016\/j.eswa.2022.117167_b0095","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1186\/s12888-015-0566-y","article-title":"Driving behaviour in adults with attention deficit\/hyperactivity disorder","volume":"15","author":"Groom","year":"2015","journal-title":"BMC Psychiatry"},{"key":"10.1016\/j.eswa.2022.117167_b0100","doi-asserted-by":"crossref","unstructured":"Hollister, D.L., Gonzalez, A.J. & Hollister, J.R. (2019). Contextual Reasoning in Human Cognition and its Implications for Artificial Intelligence Systems. Modelisation et Utilisation du Contexte. iSTE OpenScience. June 2019. 1-18. https:\/\/www.openscience.fr\/IMG\/pdf\/iste_muc19v3n1_1.pdf.","DOI":"10.21494\/ISTE.OP.2019.0400"},{"key":"10.1016\/j.eswa.2022.117167_b0105","doi-asserted-by":"crossref","DOI":"10.1155\/2013\/648431","article-title":"Driver sleepiness detection system based on eye movements variables","volume":"5","author":"Jin","year":"2013","journal-title":"Advances in Mechanical Engineering"},{"key":"10.1016\/j.eswa.2022.117167_b0110","doi-asserted-by":"crossref","first-page":"2316","DOI":"10.1016\/j.eswa.2013.09.029","article-title":"Learning collaborative behavior by observation","volume":"41","author":"Johnson","year":"2014","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2022.117167_b0115","series-title":"IEEE International Conference on Computer Vision Workshops (ICCVW)","article-title":"Various approaches for driver and driving behavior monitoring: A Review","author":"Kang","year":"2013"},{"issue":"3","key":"10.1016\/j.eswa.2022.117167_b0120","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.dr.2007.06.006","article-title":"Eye tracking studies of normative and atypical development","volume":"27","author":"Karatekin","year":"2007","journal-title":"Developmental Review"},{"key":"10.1016\/j.eswa.2022.117167_b0125","doi-asserted-by":"crossref","first-page":"1942","DOI":"10.1109\/ICNN.1995.488968","article-title":"Particle swarm optimization","volume":"4","author":"Kennedy","year":"1995","journal-title":"Proceedings of the IEEE International Conference on Neural Networks"},{"key":"10.1016\/j.eswa.2022.117167_b0130","series-title":"15th World Congress on Intelligent Transport Systems and ITS America's 2008 Annual Meeting","article-title":"Modeling driving behavior with dynamic bayesian networks and estimate of mental state","author":"Kishimoto","year":"2008"},{"key":"10.1016\/j.eswa.2022.117167_b0135","series-title":"Genetic Programming","author":"Koza","year":"1992"},{"key":"10.1016\/j.eswa.2022.117167_b0140","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.conctc.2018.07.007","article-title":"Design of an experimental protocol to examine medication non-adherence among young drivers diagnosed with ADHD: A driving simulator study","volume":"11","author":"Lee","year":"2018","journal-title":"Contemporary Clinical Trials Communications"},{"key":"10.1016\/j.eswa.2022.117167_b0145","doi-asserted-by":"crossref","unstructured":"Li, Q., Zhao, L., Lee, Y-C. and Lin, J. (2020a). Contrast pattern mining in paired multivariate time series of a controlled driving behavior experiment. ACM Transactions Spatial Algorithms Syst. 6(4), Article 25 28 pages. doi:10.1145\/3397272.","DOI":"10.1145\/3397272"},{"key":"10.1016\/j.eswa.2022.117167_b0150","article-title":"CPM: A general feature dependency pattern mining framework for contrast multivariate time series","volume":"107711","author":"Li","year":"2020","journal-title":"Pattern Recognition"},{"key":"10.1016\/j.eswa.2022.117167_b0155","unstructured":"Liang, Y., (2009) Detecting driver distraction. Theses and Dissertations, 248."},{"issue":"3","key":"10.1016\/j.eswa.2022.117167_b0160","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1177\/1087054712473832","article-title":"Comparison of on-road driving between young adults with and without ADHD","volume":"20","author":"Merkel","year":"2016","journal-title":"Journal of Attention Disorders"},{"key":"10.1016\/j.eswa.2022.117167_b0165","series-title":"Proceedings of the IEEE Intelligent Vehicles Symposium (IV)","article-title":"Graphical models for driver behavior recognition in a smartcar","author":"Oliver","year":"2000"},{"issue":"5","key":"10.1016\/j.eswa.2022.117167_b0170","doi-asserted-by":"crossref","first-page":"715","DOI":"10.1016\/j.physbeh.2005.02.021","article-title":"Effect of driving duration and partial sleep deprivation on subsequent alertness and performance of car drivers","volume":"84","author":"Otmani","year":"2005","journal-title":"Physiology & Behavior"},{"issue":"11","key":"10.1016\/j.eswa.2022.117167_b0175","doi-asserted-by":"crossref","first-page":"1570","DOI":"10.1177\/1087054716658126","article-title":"Driving with ADHD: Performance effects and environment demand in traffic","volume":"24","author":"Randell","year":"2020","journal-title":"Journal of Attention Disorders"},{"issue":"3","key":"10.1016\/j.eswa.2022.117167_b0180","doi-asserted-by":"crossref","first-page":"842","DOI":"10.1016\/j.aap.2009.06.021","article-title":"The impact of distractions on young adult drivers with attention deficit hyperactivity disorder (ADHD)","volume":"42","author":"Reimer","year":"2010","journal-title":"Accident Analysis & Prevention"},{"issue":"12","key":"10.1016\/j.eswa.2022.117167_b0185","doi-asserted-by":"crossref","first-page":"16937","DOI":"10.3390\/s121216937","article-title":"Detecting driver drowsiness based on sensors: A review","volume":"12","author":"Sahayadhas","year":"2012","journal-title":"Sensors"},{"key":"10.1016\/j.eswa.2022.117167_b0190","series-title":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","article-title":"Inferring driver intent: A case study in lane-change detection","author":"Salvucci","year":"2004"},{"issue":"2","key":"10.1016\/j.eswa.2022.117167_b0195","first-page":"54","article-title":"A framework for learning implicit expert knowledge through observation","volume":"17","author":"Sidani","year":"2000","journal-title":"Transactions of the Society for Computer Simulation"},{"key":"10.1016\/j.eswa.2022.117167_b0200","series-title":"Intelligent Vehicles Symposium (IV)","article-title":"Driving risk classification based on experts evaluation","author":"Siordia","year":"2010"},{"issue":"2","key":"10.1016\/j.eswa.2022.117167_b0205","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1162\/106365602320169811","article-title":"Evolving neural networks through augmenting topologies","volume":"10","author":"Stanley","year":"2002","journal-title":"Evolutionary Computation"},{"issue":"3","key":"10.1016\/j.eswa.2022.117167_b0210","doi-asserted-by":"crossref","first-page":"792","DOI":"10.1109\/TSMCB.2010.2091955","article-title":"Building high-performing human-like tactical agents through observation and experience","volume":"41","author":"Stein","year":"2011","journal-title":"IEEE Transactions on Systems, Man and Cybernetics - Part B"},{"key":"10.1016\/j.eswa.2022.117167_b0215","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1007\/s10489-014-0550-0","article-title":"Learning in Context: Enhancing Machine Learning with Context-Based Reasoning","volume":"41","author":"Stein","year":"2014","journal-title":"Applied Intelligence"},{"issue":"4","key":"10.1016\/j.eswa.2022.117167_b0220","doi-asserted-by":"crossref","first-page":"747","DOI":"10.1007\/s00521-014-1761-3","article-title":"Combining NEAT and PSO for learning tactical human behavior","volume":"26","author":"Stein","year":"2015","journal-title":"Neural Computing and Applications"},{"key":"10.1016\/j.eswa.2022.117167_b0225","unstructured":"Stein, G. (2009). Falconet: force-feedback approach for learning from coaching and observation using natural and experiential training. Doctoral Dissertation. Computer Engineering, University of Central Florida, August 2009."},{"issue":"3","key":"10.1016\/j.eswa.2022.117167_b0230","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1109\/TSMCB.2008.922062","article-title":"Discovery of high-level behavior from observation of human performance in a strategic game","volume":"38","author":"Stensrud","year":"2008","journal-title":"IEEE Transactions on Systems, Man and Cybernetics, Part B"},{"key":"10.1016\/j.eswa.2022.117167_b0235","series-title":"44th IEEE Conference on.Decision and Control and European Control Conference CDC-ECC'05","article-title":"Modeling and recognition of human driving behavior based on stochastic switched ARX model","author":"Suzuki","year":"2005"},{"key":"10.1016\/j.eswa.2022.117167_b0240","doi-asserted-by":"crossref","unstructured":"Torabi, F., Warnell, G. & Stone, P. (2019). Recent advances in imitation learning from observation. arXiv preprint arXiv:1905.13566.","DOI":"10.24963\/ijcai.2019\/882"},{"key":"10.1016\/j.eswa.2022.117167_b0245","series-title":"Proceedings of the 7th International IEEE Conference on Intelligent Transportation Systems","article-title":"Driver inattention detection through intelligent analysis of readily available sensors","author":"Torkkola","year":"2008"},{"issue":"4","key":"10.1016\/j.eswa.2022.117167_b0250","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1109\/TSMC.2013.2262272","article-title":"Identifying contexts from observed human performance","volume":"43","author":"Trinh","year":"2013","journal-title":"IEEE Transactions on Human Machine Systems"},{"key":"10.1016\/j.eswa.2022.117167_b0255","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1016\/j.aap.2013.10.003","article-title":"ADHD and relative risk of accidents in road traffic: A meta-analysis","volume":"62","author":"Vaa","year":"2014","journal-title":"Accident Analysis & Prevention"},{"key":"10.1016\/j.eswa.2022.117167_b0260","unstructured":"Wong, J. M., Hastings, L., Negy, K. Gonzalez, A.J., Onta\u00f1\u00f3n, S., and Lee, Y-C. (2018). Machine learning from observation to detect abnormal driving behavior in humans. Proceedings of the 31st Annual Florida Artificial Intelligence Research Society Conference (FLAIRS-2018). May 2018."},{"key":"10.1016\/j.eswa.2022.117167_b0265","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1007\/3-540-48315-2_33","article-title":"The role of context in interpreting perceived events as actions","author":"Zibetti","year":"1999","journal-title":"International and Interdisciplinary Conference on Modeling and Using Context"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417422005565?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417422005565?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,3,12]],"date-time":"2023-03-12T09:44:50Z","timestamp":1678614290000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417422005565"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8]]},"references-count":53,"alternative-id":["S0957417422005565"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2022.117167","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2022,8]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Detection of driver health condition by monitoring driving behavior through machine learning from observation","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2022.117167","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"117167"}}