{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,23]],"date-time":"2026-04-23T08:00:45Z","timestamp":1776931245223,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","funder":[{"name":"Land Salzburg","award":["20204-WISS\/263\/6-6022"],"award-info":[{"award-number":["20204-WISS\/263\/6-6022"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,9,22]]},"DOI":"10.1145\/3744335.3762326","type":"proceedings-article","created":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T06:53:03Z","timestamp":1759992783000},"page":"373-376","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Student Research Track: Twin the Drive: An HGBR-based Machine Learning Model as a Vehicular Digital Twin for Risk Detection"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4084-3972","authenticated-orcid":false,"given":"Cansu","family":"Demir","sequence":"first","affiliation":[{"name":"Department Artificial Intelligence and Human Interfaces, University of Salzburg, Salzburg, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7952-4717","authenticated-orcid":false,"given":"Narges","family":"Mehran","sequence":"additional","affiliation":[{"name":"Department Artificial Intelligence and Human Interfaces, University of Salzburg, Salzburg, Austria and Salzburg Research Forschungsgesellschaft mbH, Salzburg, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8116-4522","authenticated-orcid":false,"given":"Alexander","family":"Meschtscherjakov","sequence":"additional","affiliation":[{"name":"Human Computer Interaction Division, University of Salzburg, Salzburg, Salzburg, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,10,8]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"crossref","unstructured":"Barbara\u00a0Rita Barricelli and Daniela Fogli. 2024. Digital twins in human-computer interaction: A systematic review. International Journal of Human\u2013Computer Interaction 40 2 (2024) 79\u201397.","DOI":"10.1080\/10447318.2022.2118189"},{"key":"e_1_3_3_2_3_2","unstructured":"Tianqi Chen Tong He Michael Benesty Vadim Khotilovich Yuan Tang Hyunsu Cho Kailong Chen Rory Mitchell Ignacio Cano Tianyi Zhou et\u00a0al. 2015. XGBoost: eXtreme Gradient Boosting. R package version 0.4-2 1 4 (2015) 1\u20134."},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"crossref","unstructured":"Cansu Demir Alexander Meschtscherjakov and Magdalena G\u00e4rtner. 2024. Unlocking Trust and Acceptance in Tomorrow\u2019s Ride: How In-Vehicle Intelligent Agents Redefine SAE Level 5 Autonomy. Multimodal Technologies and Interaction 8 12 Article 111 (2024) 22\u00a0pages. doi:10.3390\/mti8120111","DOI":"10.3390\/mti8120111"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","unstructured":"Mica\u00a0R. Endsley. 2017. From Here to Autonomy: Lessons Learned From Human\u2013Automation Research. Human Factors 59 1 (2017) 5\u201327. doi:10.1177\/0018720816681350 arXiv:10.1177\/0018720816681350 PMID: 28146676.","DOI":"10.1177\/0018720816681350"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"crossref","unstructured":"Xinping Gu Yunpeng Han and Junfu Yu. 2020. A novel lane-changing decision model for autonomous vehicles based on deep autoencoder network and XGBoost. IEEE Access 8 (2020) 9846\u20139863.","DOI":"10.1109\/ACCESS.2020.2964294"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"crossref","unstructured":"Yi Gu Shuhang Li Ji Qi Bangzheng Fu Renzhi Tang Lifeng Yang Sen Tian and Zhihao Jiang. 2025. A cognitive digital twin approach to improving driver compliance and accident prevention. Accident Analysis & Prevention 211 (2025) 107913. doi:10.1016\/j.aap.2024.107913","DOI":"10.1016\/j.aap.2024.107913"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"crossref","unstructured":"Lian Hou Long Xin Shengbo\u00a0Eben Li Bo Cheng and Wenjun Wang. 2020. Interactive Trajectory Prediction of Surrounding Road Users for Autonomous Driving Using Structural-LSTM Network. IEEE Transactions on Intelligent Transportation Systems 21 11 (2020) 4615\u20134625. doi:10.1109\/TITS.2019.2942089","DOI":"10.1109\/TITS.2019.2942089"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Mahmoud Ibrahim Viktor Rjabt\u0161ikov and Rolando Gilbert. 2023. Overview of digital twin platforms for EV applications. Sensors 23 3 (2023) 1414.","DOI":"10.3390\/s23031414"},{"key":"e_1_3_3_2_10_2","volume-title":"Automation systems and integration - Digital twin framework for manufacturing - Part 1: Overview and general principles. ISO, Switzerland","author":"23247-1:2021 ISO","year":"2021","unstructured":"ISO 23247-1:2021. 2021. Automation systems and integration - Digital twin framework for manufacturing - Part 1: Overview and general principles. ISO, Switzerland. Retrieved Jun. 2025 from https:\/\/www.iso.org\/obp\/ui\/en\/#iso:std:75066:en"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"crossref","unstructured":"Mohammad\u00a0Tamim Kashifi and Irfan Ahmad. 2022. Efficient histogram-based gradient boosting approach for accident severity prediction with multisource data. Transportation research record 2676 6 (2022) 236\u2013258.","DOI":"10.1177\/03611981221074370"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569552"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"Seul\u00a0Chan Lee and Myounghoon Jeon. 2022. A systematic review of functions and design features of in-vehicle agents. International Journal of Human-Computer Studies 165 (2022) 102864. doi:10.1016\/j.ijhcs.2022.102864","DOI":"10.1016\/j.ijhcs.2022.102864"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"crossref","unstructured":"Tianyi Li Yushuai Li Yumeng Song Zhongming Yao Wei Gao and David\u00a0Wenzhong Gao. 2024. Networked Digital Twins for Autonomous Vehicles: A New Perspective. IEEE Transactions on Intelligent Vehicles (2024). doi:10.1109\/TIV.2024.3492804","DOI":"10.1109\/TIV.2024.3492804"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/AIIoT58121.2023.10174376"},{"key":"e_1_3_3_2_16_2","unstructured":"Liudmila Prokhorenkova Gleb Gusev Aleksandr Vorobev Anna\u00a0Veronika Dorogush and Andrey Gulin. 2018. CatBoost: unbiased boosting with categorical features. Advances in neural information processing systems 31 (2018)."},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"crossref","unstructured":"Chris Schwarz and Ziran Wang. 2022. The role of digital twins in connected and automated vehicles. IEEE Intelligent Transportation Systems Magazine 14 6 (2022) 41\u201351. doi:10.1109\/MITS.2021.3129524","DOI":"10.1109\/MITS.2021.3129524"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"publisher","unstructured":"U.S. Department of Transportation Federal Highway Administration. 2016. Next Generation Simulation (NGSIM) Vehicle Trajectories and Supporting Data. 10.21949\/1504477. [Dataset]. Provided by ITS DataHub through Data.transportation.gov. Accessed 2025-07-01.","DOI":"10.21949\/1504477"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1145\/3672608.3707977"},{"key":"e_1_3_3_2_20_2","first-page":"273","volume-title":"From Car-Driver-Handovers to Cooperative Interfaces: Visions for Driver\u2013Vehicle Interaction in Automated Driving","author":"Walch Marcel","year":"2017","unstructured":"Marcel Walch, Kristin M\u00fchl, Johannes Kraus, Tanja Stoll, Martin Baumann, and Michael Weber. 2017. From Car-Driver-Handovers to Cooperative Interfaces: Visions for Driver\u2013Vehicle Interaction in Automated Driving. Springer International Publishing, Cham, 273\u2013294. doi:10.1007\/978-3-319-49448-7_10"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/3473682.3479720"}],"event":{"name":"AutomotiveUI Adjunct '25: 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications","location":"Brisbane QLD Australia","acronym":"AutomotiveUI Adjunct '25","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Adjunct Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3744335.3762326","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T18:20:24Z","timestamp":1767982824000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3744335.3762326"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,22]]},"references-count":20,"alternative-id":["10.1145\/3744335.3762326","10.1145\/3744335"],"URL":"https:\/\/doi.org\/10.1145\/3744335.3762326","relation":{},"subject":[],"published":{"date-parts":[[2025,9,22]]},"assertion":[{"value":"2025-10-08","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}