{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T00:10:51Z","timestamp":1756858251832,"version":"3.44.0"},"publisher-location":"Cham","reference-count":33,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031977770","type":"print"},{"value":"9783031977787","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T00:00:00Z","timestamp":1756857600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,3]],"date-time":"2025-09-03T00:00:00Z","timestamp":1756857600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-031-97778-7_17","type":"book-chapter","created":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T14:20:20Z","timestamp":1756822820000},"page":"248-259","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploiting Immersive Virtual Reality for Maintenance Training of Freight Trains"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9355-8430","authenticated-orcid":false,"given":"Marina","family":"Ricci","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0451-7288","authenticated-orcid":false,"given":"Nicola","family":"Mosca","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1317-7545","authenticated-orcid":false,"given":"Daniele","family":"Pirone","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9607-7728","authenticated-orcid":false,"given":"Pasquale","family":"Memmolo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0158-3856","authenticated-orcid":false,"given":"Pietro","family":"Ferraro","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5167-867X","authenticated-orcid":false,"given":"Maria","family":"Di Summa","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,9,3]]},"reference":[{"key":"17_CR1","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/J.RESS.2017.10.012","volume":"170","author":"M Kyriakidis","year":"2018","unstructured":"Kyriakidis, M., Majumdar, A., Ochieng, W.Y.: The human performance railway operational index\u2014a novel approach to assess human performance for railway operations. Reliab. Eng. Syst. Saf. 170, 226\u2013243 (2018). https:\/\/doi.org\/10.1016\/J.RESS.2017.10.012","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"17_CR2","unstructured":"European Union Agency for Railways. Report on Railway Safety and Interoperability in the EU - 2020 (2020)"},{"key":"17_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/J.JRTPM.2023.100430","volume":"29","author":"F Bigi","year":"2024","unstructured":"Bigi, F., Bosi, T., Pineda-Jaramillo, J., Viti, F., D\u2019Ariano, A.: Long-term fleet management for freight trains: assessing the impact of wagon maintenance through simulation of shunting policies. J. Rail Transp. Plan. Manage. 29, 100430 (2024). https:\/\/doi.org\/10.1016\/J.JRTPM.2023.100430","journal-title":"J. Rail Transp. Plan. Manage."},{"key":"17_CR4","doi-asserted-by":"publisher","unstructured":"Yazdi, M.: Maintenance strategies and optimization techniques, pp. 43\u201358 (2024). https:\/\/doi.org\/10.1007\/978-3-031-53514-7_3","DOI":"10.1007\/978-3-031-53514-7_3"},{"key":"17_CR5","doi-asserted-by":"publisher","unstructured":"Davari, N., Veloso, B., de Costa, G.A., Pereira, P.M., Ribeiro, R.P., Gama, J.: A survey on data-driven predictive maintenance for the railway industry. Sensors 21(17), 5739 (2021). https:\/\/doi.org\/10.3390\/S21175739","DOI":"10.3390\/S21175739"},{"key":"17_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/J.COMPEDU.2022.104701","volume":"195","author":"M Won","year":"2023","unstructured":"Won, M., et al.: Diverse approaches to learning with immersive Virtual Reality identified from a systematic review. Comput. Educ. 195, 104701 (2023). https:\/\/doi.org\/10.1016\/J.COMPEDU.2022.104701","journal-title":"Comput. Educ."},{"key":"17_CR7","doi-asserted-by":"publisher","unstructured":"Di Summa, M., et al.: Integrating deep learning based anomaly detection with extended reality: a case study on extensive railways monitoring. In: 2024 IEEE International Conference\non Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering, MetroX\nRAINE2024 - Proceedings, pp. 464\u2013469 (2024). https:\/\/doi.org\/10.1109\/METROXRAINE62247.2024.10796728","DOI":"10.1109\/METROXRAINE62247.2024.10796728"},{"key":"17_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/J.CEXR.2022.100006","volume":"2","author":"P Strojny","year":"2023","unstructured":"Strojny, P., Du\u017cma\u0144ska-Misiarczyk, N.: Measuring the effectiveness of virtual training: a systematic review. Comput. Educ. X Reality 2, 100006 (2023). https:\/\/doi.org\/10.1016\/J.CEXR.2022.100006","journal-title":"Comput. Educ. X Reality"},{"issue":"4","key":"17_CR9","doi-asserted-by":"publisher","first-page":"919","DOI":"10.1007\/S10055-020-00498-8","volume":"25","author":"J Abich","year":"2021","unstructured":"Abich, J., Parker, J., Murphy, J.S., Eudy, M.: A review of the evidence for training effectiveness with virtual reality technology. Virtual Real 25(4), 919\u2013933 (2021). https:\/\/doi.org\/10.1007\/S10055-020-00498-8","journal-title":"Virtual Real"},{"issue":"4","key":"17_CR10","doi-asserted-by":"publisher","first-page":"706","DOI":"10.1177\/0018720820904229","volume":"63","author":"AD Kaplan","year":"2021","unstructured":"Kaplan, A.D., Cruit, J., Endsley, M., Beers, S.M., Sawyer, B.D., Hancock, P.A.: The effects of virtual reality, augmented reality, and mixed reality as training enhancement methods: a meta-analysis. Hum. Factors 63(4), 706\u2013726 (2021). https:\/\/doi.org\/10.1177\/0018720820904229","journal-title":"Hum. Factors"},{"key":"17_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/J.SSCI.2023.106372","volume":"171","author":"D Scorgie","year":"2024","unstructured":"Scorgie, D., Feng, Z., Paes, D., Parisi, F., Yiu, T.W., Lovreglio, R.: Virtual reality for safety training: a systematic literature review and meta-analysis. Saf. Sci. 171, 106372 (2024). https:\/\/doi.org\/10.1016\/J.SSCI.2023.106372","journal-title":"Saf. Sci."},{"issue":"1","key":"17_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TLT.2020.3033766","volume":"14","author":"F Buttussi","year":"2021","unstructured":"Buttussi, F., Chittaro, L.: A comparison of procedural safety training in three conditions: virtual reality headset, smartphone, and printed materials. IEEE Trans. Learn. Technol. 14(1), 1\u201315 (2021). https:\/\/doi.org\/10.1109\/TLT.2020.3033766","journal-title":"IEEE Trans. Learn. Technol."},{"key":"17_CR13","doi-asserted-by":"publisher","unstructured":"Avveduto, G., Tanca, C., Lorenzini, C., Tecchia, F., Carrozzino, M., Bergamasco, M.: Safety training using virtual reality: a comparative approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10324 LNCS, pp. 148\u2013163 (2017). https:\/\/doi.org\/10.1007\/978-3-319-60922-5_11\/FIGURES\/10","DOI":"10.1007\/978-3-319-60922-5_11\/FIGURES\/10"},{"issue":"3","key":"17_CR14","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1007\/S10055-018-0354-3","volume":"23","author":"DS Patle","year":"2019","unstructured":"Patle, D.S., Manca, D., Nazir, S., Sharma, S.: Operator training simulators in virtual reality environment for process operators: a review. Virtual Real 23(3), 293\u2013311 (2019). https:\/\/doi.org\/10.1007\/S10055-018-0354-3","journal-title":"Virtual Real"},{"key":"17_CR15","doi-asserted-by":"publisher","unstructured":"De Lorenzis, F., Prattic\u00f2, F.G., Repetto, M., Pons, E., Lamberti, F.: Immersive Virtual Reality for procedural training. Comput. Ind. 144 (2023). https:\/\/doi.org\/10.1016\/J.COMPIND.2022.103785","DOI":"10.1016\/J.COMPIND.2022.103785"},{"issue":"3","key":"17_CR16","doi-asserted-by":"publisher","first-page":"1040","DOI":"10.1111\/JCAL.12937","volume":"40","author":"S Lu","year":"2024","unstructured":"Lu, S., Feng, Z., Lovreglio, R., Wang, F., Yuan, X.: Comparing the productive failure and directive instruction for declarative safety knowledge training using virtual reality. J. Comput. Assist. Learn. 40(3), 1040\u20131051 (2024). https:\/\/doi.org\/10.1111\/JCAL.12937","journal-title":"J. Comput. Assist. Learn."},{"key":"17_CR17","doi-asserted-by":"publisher","unstructured":"Shiradkar, S., Rabelo, L., Alasim, F., Nagadi, K.: Virtual world as an interactive safety training platform. Information 12(6), 219 (2021). https:\/\/doi.org\/10.3390\/INFO12060219","DOI":"10.3390\/INFO12060219"},{"issue":"12","key":"17_CR18","doi-asserted-by":"publisher","first-page":"1310","DOI":"10.1080\/0144929X.2021.1954693","volume":"40","author":"U Radhakrishnan","year":"2021","unstructured":"Radhakrishnan, U., Koumaditis, K., Chinello, F.: A systematic review of immersive virtual reality for industrial skills training. Behav. Inform. Technol. 40(12), 1310\u20131339 (2021). https:\/\/doi.org\/10.1080\/0144929X.2021.1954693","journal-title":"Behav. Inform. Technol."},{"key":"17_CR19","doi-asserted-by":"publisher","first-page":"799","DOI":"10.1016\/J.PROMFG.2015.07.333","volume":"3","author":"N Hall","year":"2015","unstructured":"Hall, N., Lowe, C., Hirsch, R.: Human factors considerations for the application of augmented reality in an operational railway environment. Procedia Manuf. 3, 799\u2013806 (2015). https:\/\/doi.org\/10.1016\/J.PROMFG.2015.07.333","journal-title":"Procedia Manuf."},{"issue":"12","key":"17_CR20","doi-asserted-by":"publisher","first-page":"3063","DOI":"10.1007\/S00371-021-02251-X\/TABLES\/6","volume":"37","author":"B Tschoerner","year":"2021","unstructured":"Tschoerner, B., et al.: Human factors evaluation in VR-based shunting training. Visual Comput. 37(12), 3063\u20133076 (2021). https:\/\/doi.org\/10.1007\/S00371-021-02251-X\/TABLES\/6","journal-title":"Visual Comput."},{"key":"17_CR21","unstructured":"Michael, D.R., Chen, S.: Serious games: games that educate, train, and inform (2005)"},{"key":"17_CR22","doi-asserted-by":"publisher","unstructured":"Mitgutsch, K., Alvarado, N.: Purposeful by design?: A serious game design assessment framework. Foundations of Digital Games 2012, FDG 2012 - Conference Program, pp. 121\u2013128 (2012). https:\/\/doi.org\/10.1145\/2282338.2282364","DOI":"10.1145\/2282338.2282364"},{"key":"17_CR23","doi-asserted-by":"publisher","unstructured":"Evangelista, A., Manghisi, V.M., De Giglio, V., Mariconte, R., Giliberti, C., Uva, A.E.: From knowledge to action: assessing the effectiveness of immersive virtual reality training on safety behaviors in confined spaces using the Kirkpatrick model. Saf. Sci. 181 (2025). https:\/\/doi.org\/10.1016\/j.ssci.2024.106693","DOI":"10.1016\/j.ssci.2024.106693"},{"key":"17_CR24","unstructured":"ISO 9241-210:2019 - Ergonomics of human-system interaction\u2014part 210: Human-centred design for interactive systems"},{"key":"17_CR25","first-page":"1413","volume-title":"International Joint Conference on Mechanics, Design Engineering & Advanced Manufacturing","author":"M Ricci","year":"2022","unstructured":"Ricci, M., Scarcelli, A., D\u2019Introno, A., Strippoli, V., Cariati, S., Fiorentino, M.: A human-centred design approach for designing augmented reality enabled interactive systems: a kitchen machine case study. In: International Joint Conference on Mechanics, Design Engineering & Advanced Manufacturing, pp. 1413\u20131425. Springer International Publishing, Cham (2022)"},{"issue":"6","key":"17_CR26","doi-asserted-by":"publisher","first-page":"691","DOI":"10.1111\/JCAL.12375","volume":"35","author":"G Makransky","year":"2019","unstructured":"Makransky, G., Borre-Gude, S., Mayer, R.E.: Motivational and cognitive benefits of training in immersive virtual reality based on multiple assessments. J. Comput. Assist. Learn. 35(6), 691\u2013707 (2019). https:\/\/doi.org\/10.1111\/JCAL.12375","journal-title":"J. Comput. Assist. Learn."},{"issue":"3","key":"17_CR27","doi-asserted-by":"publisher","first-page":"266","DOI":"10.1080\/13668250903093125","volume":"34","author":"A Smidt","year":"2009","unstructured":"Smidt, A., Balandin, S., Sigafoos, J., Reed, V.A.: The Kirkpatrick model: a useful tool for evaluating training outcomes. J. Intellect. Dev. Disabil. 34(3), 266\u2013274 (2009). https:\/\/doi.org\/10.1080\/13668250903093125","journal-title":"J. Intellect. Dev. Disabil."},{"issue":"1","key":"17_CR28","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1108\/ICT-12-2020-0115\/FULL\/XML","volume":"54","author":"A Alsalamah","year":"2021","unstructured":"Alsalamah, A., Callinan, C.: The Kirkpatrick model for training evaluation: bibliometric analysis after 60 years (1959\u20132020). Ind. Commer. Train. 54(1), 36\u201363 (2021). https:\/\/doi.org\/10.1108\/ICT-12-2020-0115\/FULL\/XML","journal-title":"Ind. Commer. Train."},{"key":"17_CR29","unstructured":"Leica BLK360. https:\/\/shop.leica-geosystems.com\/global\/it-IT\/leica-blk\/laser-scanners?srsltid=AfmBOopQJDjWYu13q0f1dInkCtv8-VlfUXJIXN2uMVoLhLVNqQCgCuCh"},{"key":"17_CR30","unstructured":"Point Cloud Viewer and Tools. https:\/\/assetstore.unity.com\/packages\/tools\/utilities\/point-cloud-viewer-and-tools-16019?srsltid=AfmBOoqTZtXvFvkB8LsbazZRoUuKU5E4N_xYXCeca6FYcPgYa1kgF4fz"},{"key":"17_CR31","doi-asserted-by":"crossref","unstructured":"Wr\u00f3bel, J., Bury, P., Zaj\u0105c, M., Kierzkowski, A., Tubek, S., Blaut, J.: Fault detection and diagnostic methods for railway systems \u2013 a literature survey. Adv. Sci. Technol. Res. J. 18(6) (2024)","DOI":"10.12913\/22998624\/191762"},{"key":"17_CR32","doi-asserted-by":"publisher","unstructured":"Vernersson, T.: Temperatures at railway tread braking. Part 2: calibration and numerical examples, vol. 221, no. 4, pp. 429\u2013442 (2007). https:\/\/doi.org\/10.1243\/09544097JRRT90","DOI":"10.1243\/09544097JRRT90"},{"issue":"1\u20132","key":"17_CR33","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/J.WEAR.2013.12.008","volume":"314","author":"T Vernersson","year":"2014","unstructured":"Vernersson, T., Lund\u00e9n, R.: Wear of brake blocks for in-service conditions\u2014influence of the level of modelling. Wear 314(1\u20132), 125\u2013131 (2014). https:\/\/doi.org\/10.1016\/J.WEAR.2013.12.008","journal-title":"Wear"}],"container-title":["Lecture Notes in Computer Science","Extended Reality"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-97778-7_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,2]],"date-time":"2025-09-02T14:20:22Z","timestamp":1756822822000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-97778-7_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,3]]},"ISBN":["9783031977770","9783031977787"],"references-count":33,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-97778-7_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,9,3]]},"assertion":[{"value":"3 September 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"XR Salento","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Extended Reality","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Otranto","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"avr2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.xrsalento.it","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}