Calibrating trust through knowledge: Introducing the concept of informed safety for automation in vehicles
Khastgir, Siddartha, Birrell, Stewart, Dhadyalla, Gunwant, Jennings, Paul·2018·Transportation Research Part C: Emerging Technologies
Cited by (135)
Items 101–135 of 135
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- Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine LearningRobert P. Kaufman, Emi Lee, Manas Satish Bedmutha, David Kirsh, Nadir Weibel · 2025 · CHI Conference on Human Factors in Computing Systems
- Wheelchair users’ perceptions of a system enabling them to traverse rough terrain controlling their own wheelchairNirit Yuviler-Gavish, Avi Weiss, Uri Ben‐Hanan, Matan Madar · 2022 · Applied Ergonomics
- Development and evaluation of passenger assistance system concepts to reduce passenger discomfortSandra Ittner, Dominik Mühlbacher, Mark Vollrath, Thomas H. Weisswange · 2023 · Frontiers in Psychology
- Recognition Assistance Interface for Human-Automation Cooperation in Pedestrian Risk PredictionAtsushi Kuribayashi, Eijiro Takeuchi, Alexander Carballo, Yoshio Ishiguro, Kazuya Takeda · 2023 · SAE International Journal of Connected and Automated Vehicles
- Effect of conventional driving experience on trust in autonomous vehicles (L2 and 3): A reviewEmmanuel Abolarin, Bochen Jia · 2024 · Modern Transportation
- Defining an Effective Context for the Safe Operation of Autonomous SystemsMatt Osborne, Richard Hawkins · 2024 · Communications in computer and information science
- Trust in Autonomous Cars Does Not Largely Differ from Trust in Human Drivers when They Make Minor ErrorsRyosuke Yokoi · 2024 · Transportation Research Record Journal of the Transportation Research Board
- How Does Pedestrians’ Perception Toward Autonomous Vehicles Change During Unmarked Midblock Multilane Crossings?Fengjiao Zou, Jennifer Ogle, Patrick Gerard, Weimin Jin · 2024 · Transportation Research Record Journal of the Transportation Research Board
- Trust Transfer in Autonomous Vehicles: The Role of Warm Brand Image Amid Automation FailureShaotian Qin, Chihao Li, Yue Qi · 2024 · Lecture notes in computer science
- Assessing Multimodal Communication in Human-Robot Interaction: A User StudySandeep Reddy Sabbella, Alexia T. Salomons, Francesco Leotta, Daniele Nardi · 2025 · Lecture notes in computer science
- What did I Learn? Operational Competence Assessment for AI-Based Trajectory PlannersMichiel Braat, Maren Buermann, Marijke Van Weperen, Jan‐Pieter Paardekooper · 2025 · IEEE International Automated Vehicle Validation Conference (IAVVC)
- Designing Drone Interfaces to Assist Pedestrians Crossing Non-Signalised RoadsGuixiang Zhang, Yiyuan Wang, Marius Hoggenmüeller · 2025 · Australian Conference on Human-Computer Interaction (OzCHI)
- Trust in the Automatic Train Supervision System and Its Effects on Subway Dispatchers’ Operational BehaviorJianxin Wang, Weining Fang, Haifeng Bao · 2025 · Applied Sciences
- The effects of conveying declarative knowledge on user attitudes and driving performance when using a conditional driving automationHuiping Zhou, Makoto Itoh, Satoshi Kitazaki · 2025 · Ergonomics
- Co-DAS: Development and Evaluation of Co-Driver Assistance System Concepts to Reduce Passenger DiscomfortSandra Ittner, Dominik Muehlbacher, Mark Vollrath, Thomas H. Weisswange · 2021
- Interacting with autonomous systems and intelligent algorithms – new theoretical considerations on the relation of understanding and trustNicole C. Krämer, Magdalena Wischnewski, Emmanuel Müller · 2023 · PsyArXiv (OSF Preprints)
- Promoting CAV Deployment by Enhancing the Perception Phase of the Autonomous Driving Using Explainable AIJiqian Dong, Sikai Chen, Samuel Labi · 2023
- Understanding drivers' trust after software malfunctions and cyber intrusions of digital displays in an automated carWilliam Payre, Jaume R. Perello-March, Giedre Sabaliauskaite, Hesamaldin Jadidbonab, Siraj Ahmed Shaikh, Hoang Nga Nguyen, Stewart A. Birrell · 2022 · AHFE international
- Investigating the Factors Influencing User Trust and Driving Performance in Conditionally Automated Driving from the Perspective of Perceived BenefitsJue Li, Jiawen Liu, X Wang, Long Liu · 2024 · SSRN Electronic Journal
- How intended pathway information shared via an augmented reality HUD can assist in semi-automated drivingRitwik Swain · 2022 · Queensland University of Technology
- Leveraging Clustering Methods for Enhancing Traffic Safety in the Era of Connected and Autonomous Vehicles in Calgary*Niloofar Kaviani, Merkebe Getachew Demissie, Lina Kattan · 2024 · IEEE International Conference on Intelligent Transportation Systems (ITSC)
- A Framework for Understanding Trust in Automated VehiclesYizheng Li, Karl Proctor, Andrew P. Owens, Lisa Dorn, Zhilin Hu, Yifan Zhao · 2025 · IEEE International Automated Vehicle Validation Conference (IAVVC)
- Crowdsourcing Indian Traffic Scenarios for ADAS Development and TestingHamid Serry, Tudor Dodoiu, Fadi Alakkad, Xizhe Zhang, Siddartha Khastgir, Paul A Jennings · 2026 · SAE technical papers on CD-ROM/SAE technical paper series
- Functional data analysis of human drivers’ car-following behavior in the mixed traffic of human-driven vehicles and autonomous vehiclesYujin Park, Chris Lee, E. H. Kim, Jae Keun Yoo, Kyongwon Kim · 2026 · Transportation Letters
- Trust rises, attention falls: divergent effects of exposure and education in driving automationHanna Chouchane, Yuki Sakamura, Kenji Sato, G. Abe, Makoto Itoh · 2026 · Frontiers of Computer Science
- Co-Designing Autonomous Vehicle Interfaces to Mimic a Trusted Human DriverHuaizhuo Yang, Y Wang, Tim Purdy, Wayne Li, Mengyao Li · 2026 · International Journal of Human-Computer Interaction
- Investigating the effects of open versus closed systems on trust in autonomous vehiclesMorgan Nutt, Emily Wall, Asad Malik, Lesley J. Strawderman, Brian Smith · 2026 · Frontiers in Future Transportation
- Calibrating Trust in ChatGPT for L2 Writers유혜빈, Matthew Pecsok, Carina Pals · 2026 · Lecture notes in computer science
- Too Much, Too Little, Just Right? Towards Dimensions of Trust Calibration in Human–AI InteractionIngo Börsting, Marc Hesenius · 2026 · ACM Conference on Conversational User Interfaces (CUI)
- When Driving Automation Exceeds Human Ability: Authoritative Control Interventions and their Implications for Human-Machine InteractionLiza Dixon, Norbert Schneider, Frank Ole Flemisch, Martin R. K. Baumann · 2026 · Cognition Technology & Work
- Effects of Training on Drivers’ Adoption of Advanced Driver Assistance Systems (ADAS): A Comparison Between Novice and Experienced DriversShangyi Lei, Shreya Patel, Shiva Pooladvand · 2026 · Proceedings of the Human Factors and Ergonomics Society Annual Meeting
- From perceived typicality of in-vehicle stylistic cues to autonomous vehicle acceptance: the roles of perceived behavioral control and trustJing Pan, Yang Qin, Yanfei Zhu, Kexin Chen, Mo Chen · 2026 · Frontiers in Psychology
- Cognitive and mental state-aware autonomous driving with multi-task electroencephalography-based deep learning framework for hazard perception, trust prediction, cognitive load estimation, and brain–computer interface integrationI. Mohamed Shiek Mothi, U. Sabura Banu, M. Mohamed Ismail · 2026 · Engineering Applications of Artificial Intelligence