Papers
Journals
- Yan, M., Z. Lin, P. Lu, M. Wang, L. Rampino, and G. Caruso. “Speculative Exploration on Future Sustainable Human-Machine Interface Design in Automated Shuttle Buses.” Sustainability 15, no. 6 (2023): 5497. https://doi.org/10.3390/su15065497.
- Yan, M., L. Rampino, and G. Caruso. “User Acceptance of Autonomous Vehicles: Review and Perspectives on the Role of the Human-Machine Interfaces.” Computer-Aided Design and Applications, 2023, 987–1004. https://doi.org/10.14733/cadaps.2023.987-1004.
- Caruso, G., M. K. Yousefi, and L. Mussone. “From Human to Autonomous Driving: A Method to Identify and Draw Up the Driving Behaviour of Connected Autonomous Vehicles.” Vehicles 4, no. 4 (2022). https://doi.org/10.3390/vehicles4040075.
- (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), p. 3429-3442, url, doi:10.1109/TVT.2022.3152980
- (2022) Investigating objective and perceived safety in road mobility, Transportation Research Procedia 60, p. 600-607, Elsevier, url, doi:10.1016/J.TRPRO.2021.12.077
- (2021) Can ADAS Distract Driver’s Attention? An RGB-D Camera and Deep Learning-Based Analysis, Applied Sciences 2021, Vol. 11, Page 11587 11(24), p. 11587, Multidisciplinary Digital Publishing Institute, url, doi:10.3390/APP112411587
- (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), p. 502-518, url, doi:10.14733/cadaps.2021.502-518
- (2020) User Studies by Driving Simulators in the Era of Automated Vehicle, Computer-Aided Design and Applications 18(1), p. 211-226, url, doi:10.14733/cadaps.2021.211-226
- (2018) Analysis of autonomic indexes on driver’s 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(c), doi:10.1115/1.4039313
- (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), p. 134-142, Elsevier B.V, doi:10.1016/j.ergon.2018.01.009
Conferences
- Yan, M., L. Rampino, H. Zhao, and G. Caruso. “Implications of Human-Machine Interface for Inclusive Shared Autonomous Vehicles.” In Human Factors in Transportation, Vol. 60, 2022. https://doi.org/10.54941/ahfe1002488.
- Boffi, M., B. E. A. Piga, L. Mussone, and G. Caruso. “Investigating Objective and Perceived Safety in Road Mobility.” In Transportation Research Procedia, 60:600–607, 2022. https://doi.org/10.1016/J.TRPRO.2021.12.077.
- Yan, M., L. Rampino, and G. Caruso. “Proceedings of CAD’22, Beijing, China, July 11-13, 2022, 282-286 © 2022 CAD Solutions, LLC, Http://Www.Cad-Conference.Net Title: Perspectives on User’s Acceptance of Human-Machine Interface in Autonomous Vehicles.” In CAD’22 Proceedings, 282–86. CAD Solutions LLC, 2022. https://doi.org/10.14733/cadconfP.2022.282-286.
- Ariansyah, D., B. Pardamean, and G. Caruso. “The Effect of Visual Advanced Driver Assistance Systems on a Following Human Driver in a Mixed-Traffic Condition.” In Procedia Computer Science, 216:221–29, 2023. https://doi.org/10.1016/j.procs.2022.12.130.
- (2020) Driver’s behaviour changes with different LODs of Road scenarios, European Transport Conference 2020, URL
- (2020) A method of processing eye-tracking data to study driver’s visual perception in simulated driving scenarios, European Transport Conference 2020, url [Special Mention]
- (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, p. 792-802, url, doi:10.3280/oa-548.46
- (2020) Validating HMI Design for Increasing User’s Trust in Autonomous Vehicle, CAD’20, p. 237-241, CAD Solutions LLC, url, doi:10.14733/cadconfP.2020.237-241
- (2020) User Studies in Laboratory Driving Simulations, CAD’20, p. 242-247, CAD Solutions LLC, url, doi:10.14733/cadconfP.2020.242-247
- (2019) Do Autonomous Vehicle Driving Styles Affect User State?: A Preliminary Investigation, Volume 1: 39th Computers and Information in Engineering Conference, American Society of Mechanical Engineers, doi:10.1115/DETC2019-98186
- (2019) Explore User Behaviour in Semi-autonomous Driving, Proceedings of the Design Society: International Conference on Engineering Design 1(1), p. 3871-3880, doi:10.1017/dsi.2019.394
- G. Caruso, D. Ruscio,D. Ariansyah, M. Bordegoni (2017) Driving Simulator System To Evaluate Driver’s Workload Using ADAS In Different Driving Contexts, 2017 ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE), [Best Paper Award]
- D. Ruscio, L. Bascetta, A. Gabrielli, M. Matteucci, D. Ariansyah, M. Bordegoni, G. Caruso, L. Mussone (2017) Collection and comparison of driver/passenger physiologic and behavioural data in simulation and on-road driving, 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), DOI: 10.1109/MTITS.2017.8005705
- G. Sala, M. Matteucci, L. Mussone (2015). Estimation of Driving Stress and fatigue by Biomedical Measures, 10th ITS European Conference, Helsinki, Finland
Master Theses
- 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