Publications

Journals

Bellani, P., Picardi, A., Caruso, F., Gaetani, F., Brevi, F., Arquilla, V., & Caruso, G. (2023). Enhancing User Engagement in Shared Autonomous Vehicles: An Innovative Gesture-Based Windshield Interaction System. Applied Sciences, 13(17), 9901. https://doi.org/10.3390/app13179901
Yan, M., Lin, Z., Lu, P., Wang, M., Rampino, L., & Caruso, G. (2023). Speculative Exploration on Future Sustainable Human-Machine Interface Design in Automated Shuttle Buses. Sustainability, 15(6), 5497. https://doi.org/10.3390/su15065497
Yan, M., Rampino, L., & Caruso, G. (2023). User Acceptance of Autonomous Vehicles: Review and Perspectives on the Role of the Human-machine Interfaces. Computer-Aided Design and Applications, 987–1004. https://doi.org/10.14733/cadaps.2023.987-1004
Fossa, F., Arrigoni, S., Caruso, G., Cholakkal, H. H., Dahal, P., Matteucci, M., & Cheli, F. (2022). Operationalizing the Ethics of Connected and Automated Vehicles. International Journal of Technoethics, 13(1), 1–20. https://doi.org/10.4018/IJT.291553
Caruso, G., Yousefi, M. K., & Mussone, L. (2022). From Human to Autonomous Driving: A Method to Identify and Draw Up the Driving Behaviour of Connected Autonomous Vehicles. Vehicles, 4(4). https://doi.org/10.3390/vehicles4040075
Shi, Y., Boffi, M., Piga, B. E. A., Mussone, L., & Caruso, G. (2022). Perception of Driving Simulations: Can the Level of Detail of Virtual Scenarios Affect the Driver’s Behavior and Emotions? IEEE Transactions on Vehicular Technology, 71(4), 3429–3442. https://doi.org/10.1109/TVT.2022.3152980
Ulrich, L., Nonis, F., Vezzetti, E., Moos, S., Caruso, G., Shi, Y., & Marcolin, F. (2021). Can adas distract driver’s attention? An rgb-d camera and deep learning-based analysis. Applied Sciences (Switzerland), 11(24). https://doi.org/10.3390/app112411587
Shi, Y., Azzolin, N., Picardi, A., Zhu, T., Bordegoni, M., & Caruso, G. (2020). A Virtual Reality-based Platform to Validate HMI Design for Increasing User’s Trust in Autonomous Vehicle. Computer-Aided Design and Applications, 18(3), 502–518. https://doi.org/10.14733/cadaps.2021.502-518
Shi, Y., Bordegoni, M., & Caruso, G. (2020). User Studies by Driving Simulators in the Era of Automated Vehicle. Computer-Aided Design and Applications, 18(1), 211–226. https://doi.org/10.14733/cadaps.2021.211-226
Ruscio, D., Caruso, G., Mussone, L., & Bordegoni, M. (2018). Eco-driving for the first time: The implications of advanced assisting technologies in supporting pro-environmental changes. International Journal of Industrial Ergonomics, 64(March), 134–142. https://doi.org/10.1016/j.ergon.2018.01.009
Ariansyah, D., Caruso, G., Ruscio, D., & Bordegoni, M. (2018). Analysis of Autonomic Indexes on Drivers’ Workload to Assess the Effect of Visual ADAS on User Experience and Driving Performance in Different Driving Conditions. Journal of Computing and Information Science in Engineering, 18(3), 031007-1–11. https://doi.org/10.1115/1.4039313
Conferences

Aydin, F., Mussone, L., & Caruso, G. (2023). The analysis of driver’s gazes using eye-tracker data and image processing techniques. European Transport Conference 2023. https://aetransport.org/past-etc-papers/search-all-etc-conference-papers?abstractId=8023&state=b
Ariansyah, D., Pardamean, B., & Caruso, G. (2023). The effect of visual advanced driver assistance systems on a following human driver in a mixed-traffic condition. Procedia Computer Science, 216, 221–229. https://doi.org/10.1016/j.procs.2022.12.130
Yan, M., Rampino, L., & Caruso, G. (2023). An Exploration of Barrier-Free Driving Education Assistance System Based on HCI Technology Under the Inclusive Design Concept. Advanced Theory and Applications of Engineering Systems Under the Framework of Industry 4.0, 97–111. https://doi.org/10.1007/978-981-19-9825-6_8
Yan, M., Rampino, L., & Caruso, G. (2022). Perspectives on User’s Acceptance of Human-machine Interface in Autonomous Vehicles. CAD’22 Proceedings, 282–286. https://doi.org/10.14733/cadconfP.2022.282-286
Boffi, M., Piga, B., Mussone, L., & Caruso, G. (2022). Investigating objective and perceived safety in road mobility. Transportation Research Procedia, 60, 600–607. https://doi.org/10.1016/J.TRPRO.2021.12.077
Yan, M., Rampino, L., Zhao, H., & Caruso, G. (2022). Implications of Human-Machine Interface for Inclusive Shared Autonomous Vehicles. Human Factors in Transportation, 60. https://doi.org/10.54941/ahfe1002488
Shi, Y., Azzolin, N., Picardi, A., Zhu, T., Bordegoni, M., & Caruso, G. (2020). Validating HMI Design for Increasing User’s Trust in Autonomous Vehicle. CAD’20, 237–241. https://doi.org/10.14733/cadconfP.2020.237-241
Shi, Y., Bordegoni, M., & Caruso, G. (2020). User Studies in Laboratory Driving Simulations. CAD’20, 242–247. https://doi.org/10.14733/cadconfP.2020.242-247
Shi, Y., Xu, Y., Ferraioli, A., Piga, B., Mussone, L., & Caruso, G. (2020). A method of processing eye-tracking data to study driver’s visual perception in simulated driving scenarios. European Transport Conference 2020. https://aetransport.org/past-etc-papers/search-all-etc-conference-papers?abstractId=6844&state=b
Caruso, G., Shi, Y., Ahmed, I., Ferraioli, A., Piga, B., & Mussone, L. (2020). Driver’s behaviour changes with different LODs of Road scenarios. European Transport Conference 2020. https://aetransport.org/past-etc-papers/search-all-etc-conference-papers?abstractId=6804&state=b
Piga, B., Caruso, G., Ferraioli, A., & Mussone, L. (2020). Modeling Virtual Road Scenarios for Driving Simulators: a Comparison of 3D Models with Different Level of Details. 42th International Conference of Representation Disciplines Teachers, 792–802. https://doi.org/10.3280/oa-548.46
Shi, Y., Huang, W., Cheli, F., Bordegoni, M., & Caruso, G. (2019, August). Do Autonomous Vehicle Driving Styles Affect User State?: A Preliminary Investigation. Volume 1: 39th Computers and Information in Engineering Conference. https://doi.org/10.1115/DETC2019-98186
Shi, Y., Maskani, J., Caruso, G., & Bordegoni, M. (2019). Explore User Behaviour in Semi-autonomous Driving. Proceedings of the Design Society: International Conference on Engineering Design, 1, 3871–3880. https://doi.org/10.1017/dsi.2019.394
Caruso, G., Ruscio, D., Ariansyah, D., & Bordegoni, M. (2017). Driving Simulator System to Evaluate Driver’s Workload Using ADAS in Different Driving Contexts. Volume 1: 37th Computers and Information in Engineering Conference, V001T02A066. https://doi.org/10.1115/DETC2017-67850
Ruscio, D., Bascetta, L., Gabrielli, A., Matteucci, M., Ariansyah, D., Bordegoni, M., Caruso, G., & Mussone, L. (2017). Collection and comparison of driver/passenger physiologic and behavioural data in simulation and on-road driving. 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 403–408. https://doi.org/10.1109/MTITS.2017.8005705
Sala, G., Matteucci, M., & Mussone, L. (2015). Estimation of Driving Stress and fatigue by Biomedical Measures. 10th ITS European Conference, Helsinki, Finland.

Master Theses

  • Pratyush Dadhich, Integrating 5G technology in the vehicle HMI design to increase the safety, Tutor: G. Caruso, (2021)
  • Mohammad Kia Yousefi, Investigating the behaviour of virtual drivers and finding an optimal setting to represent real drivers’ behaviour, Tutor: G. Caruso, L. Mussone (2021)
  • Weijian Xu, Control Algorithm Based on Tyre Magic Formula and PID Controller for Steering Systems of Vehicle Simulators, Tutor: G. Caruso, (2020)
  • Luca Villa, “Autonomous vehicle control through machine learning algorithms”, laurea magistrale in ingegneria meccanica, relatore Francesco Braghin, correlatore Stefano Arrigoni, 19/04/2018.
  • Francesco Rechichi, “Design of a driving simulator suitable for the comfort evaluation of agricultural tractors”, Tesi, M.Sc in Ingegneria Meccanica, Tutor: G. Caruso, 28/04/2017
  • Yuan Shi, “Fragrances to rise attention during driving”, Thesis, M.Sc in Design, Tutor: M. Bordegoni
  • Alessandro Saffioti, “Analisi dello stile di Guida veicolare e delle emissioni di CO2”, Tesi, M.Sc in Ingegneria Meccanica, Tutor: G. Caruso, 28/07/2016
  • Alessandro Gabrielli, “I.DRIVE: Progetto e sviluppo di un data logger multisensoriale per studi di interazione veicolo conducente”, Laurea Magistrale in Ingegneria Informatica, Relatore Matteo Matteucci, 18/12/2015
  • Iacopo Galimberti, “I.DRIVE: Acquisizione e analisi di parametri fisiologici per studi di interazione veicolo conducente (temporaneo)”, Laurea Magistrale in Ingegneria Informatica, Relatore Matteo Matteucci

PHD Theses

  • Ming Yan, “User Acceptance Implications for Human-Machine Interfaces in Shared Autonomous Vehicles”, PhD in Design, co-supervisor:  G. Caruso
  • Dedy Ariansyah, “Virtual Reality Driving Simulator for analysis of driving behaviour”, PhD in Mechanical Engineering, Supervisor: M. Bordegoni
  • Ding Wiebin, “Wearable Olfactory Display for Multisensory Interaction”, PhD in Mechanical Engineering, Supervisor: M. Bordegoni
  • Yuan Shi, “Users’ behavior studies for improving driving safety,
    comfort and experience”, PhD in Mechanical Engineering, Supervisor: M. Bordegoni