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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    Daniel Omeiza, Raunak Bhattacharyya, Marina Denise Jirotka, Nick Hawes, Lars Kunze · 2024 · SSRN Electronic Journal
  2. The value of real-time automated explanations in stochastic planning
    Claudia V. Goldman, Ronit Bustin, Wenyuan Qi, Zhengyu Xing, Rachel McPhearson-White, Sally J. Rogers · 2025 · Artificial Intelligence
  3. Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning
    Robert P. Kaufman, Emi Lee, Manas Satish Bedmutha, David Kirsh, Nadir Weibel · 2025 · CHI Conference on Human Factors in Computing Systems
  4. Wheelchair users’ perceptions of a system enabling them to traverse rough terrain controlling their own wheelchair
    Nirit Yuviler-Gavish, Avi Weiss, Uri Ben‐Hanan, Matan Madar · 2022 · Applied Ergonomics
  5. Development and evaluation of passenger assistance system concepts to reduce passenger discomfort
    Sandra Ittner, Dominik Mühlbacher, Mark Vollrath, Thomas H. Weisswange · 2023 · Frontiers in Psychology
  6. Recognition Assistance Interface for Human-Automation Cooperation in Pedestrian Risk Prediction
    Atsushi Kuribayashi, Eijiro Takeuchi, Alexander Carballo, Yoshio Ishiguro, Kazuya Takeda · 2023 · SAE International Journal of Connected and Automated Vehicles
  7. Effect of conventional driving experience on trust in autonomous vehicles (L2 and 3): A review
    Emmanuel Abolarin, Bochen Jia · 2024 · Modern Transportation
  8. Defining an Effective Context for the Safe Operation of Autonomous Systems
    Matt Osborne, Richard Hawkins · 2024 · Communications in computer and information science
  9. Trust in Autonomous Cars Does Not Largely Differ from Trust in Human Drivers when They Make Minor Errors
    Ryosuke Yokoi · 2024 · Transportation Research Record Journal of the Transportation Research Board
  10. 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
  11. Trust Transfer in Autonomous Vehicles: The Role of Warm Brand Image Amid Automation Failure
    Shaotian Qin, Chihao Li, Yue Qi · 2024 · Lecture notes in computer science
  12. Assessing Multimodal Communication in Human-Robot Interaction: A User Study
    Sandeep Reddy Sabbella, Alexia T. Salomons, Francesco Leotta, Daniele Nardi · 2025 · Lecture notes in computer science
  13. What did I Learn? Operational Competence Assessment for AI-Based Trajectory Planners
    Michiel Braat, Maren Buermann, Marijke Van Weperen, Jan‐Pieter Paardekooper · 2025 · IEEE International Automated Vehicle Validation Conference (IAVVC)
  14. Designing Drone Interfaces to Assist Pedestrians Crossing Non-Signalised Roads
    Guixiang Zhang, Yiyuan Wang, Marius Hoggenmüeller · 2025 · Australian Conference on Human-Computer Interaction (OzCHI)
  15. Trust in the Automatic Train Supervision System and Its Effects on Subway Dispatchers’ Operational Behavior
    Jianxin Wang, Weining Fang, Haifeng Bao · 2025 · Applied Sciences
  16. The effects of conveying declarative knowledge on user attitudes and driving performance when using a conditional driving automation
    Huiping Zhou, Makoto Itoh, Satoshi Kitazaki · 2025 · Ergonomics
  17. Co-DAS: Development and Evaluation of Co-Driver Assistance System Concepts to Reduce Passenger Discomfort
    Sandra Ittner, Dominik Muehlbacher, Mark Vollrath, Thomas H. Weisswange · 2021
  18. Interacting with autonomous systems and intelligent algorithms – new theoretical considerations on the relation of understanding and trust
    Nicole C. Krämer, Magdalena Wischnewski, Emmanuel Müller · 2023 · PsyArXiv (OSF Preprints)
  19. Promoting CAV Deployment by Enhancing the Perception Phase of the Autonomous Driving Using Explainable AI
    Jiqian Dong, Sikai Chen, Samuel Labi · 2023
  20. Understanding drivers' trust after software malfunctions and cyber intrusions of digital displays in an automated car
    William Payre, Jaume R. Perello-March, Giedre Sabaliauskaite, Hesamaldin Jadidbonab, Siraj Ahmed Shaikh, Hoang Nga Nguyen, Stewart A. Birrell · 2022 · AHFE international
  21. Investigating the Factors Influencing User Trust and Driving Performance in Conditionally Automated Driving from the Perspective of Perceived Benefits
    Jue Li, Jiawen Liu, X Wang, Long Liu · 2024 · SSRN Electronic Journal
  22. How intended pathway information shared via an augmented reality HUD can assist in semi-automated driving
    Ritwik Swain · 2022 · Queensland University of Technology
  23. 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)
  24. A Framework for Understanding Trust in Automated Vehicles
    Yizheng Li, Karl Proctor, Andrew P. Owens, Lisa Dorn, Zhilin Hu, Yifan Zhao · 2025 · IEEE International Automated Vehicle Validation Conference (IAVVC)
  25. Crowdsourcing Indian Traffic Scenarios for ADAS Development and Testing
    Hamid Serry, Tudor Dodoiu, Fadi Alakkad, Xizhe Zhang, Siddartha Khastgir, Paul A Jennings · 2026 · SAE technical papers on CD-ROM/SAE technical paper series
  26. Functional data analysis of human drivers’ car-following behavior in the mixed traffic of human-driven vehicles and autonomous vehicles
    Yujin Park, Chris Lee, E. H. Kim, Jae Keun Yoo, Kyongwon Kim · 2026 · Transportation Letters
  27. Trust rises, attention falls: divergent effects of exposure and education in driving automation
    Hanna Chouchane, Yuki Sakamura, Kenji Sato, G. Abe, Makoto Itoh · 2026 · Frontiers of Computer Science
  28. Co-Designing Autonomous Vehicle Interfaces to Mimic a Trusted Human Driver
    Huaizhuo Yang, Y Wang, Tim Purdy, Wayne Li, Mengyao Li · 2026 · International Journal of Human-Computer Interaction
  29. Investigating the effects of open versus closed systems on trust in autonomous vehicles
    Morgan Nutt, Emily Wall, Asad Malik, Lesley J. Strawderman, Brian Smith · 2026 · Frontiers in Future Transportation
  30. Calibrating Trust in ChatGPT for L2 Writers
    유혜빈, Matthew Pecsok, Carina Pals · 2026 · Lecture notes in computer science
  31. Too Much, Too Little, Just Right? Towards Dimensions of Trust Calibration in Human–AI Interaction
    Ingo Börsting, Marc Hesenius · 2026 · ACM Conference on Conversational User Interfaces (CUI)
  32. When Driving Automation Exceeds Human Ability: Authoritative Control Interventions and their Implications for Human-Machine Interaction
    Liza Dixon, Norbert Schneider, Frank Ole Flemisch, Martin R. K. Baumann · 2026 · Cognition Technology & Work
  33. Effects of Training on Drivers’ Adoption of Advanced Driver Assistance Systems (ADAS): A Comparison Between Novice and Experienced Drivers
    Shangyi Lei, Shreya Patel, Shiva Pooladvand · 2026 · Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  34. From perceived typicality of in-vehicle stylistic cues to autonomous vehicle acceptance: the roles of perceived behavioral control and trust
    Jing Pan, Yang Qin, Yanfei Zhu, Kexin Chen, Mo Chen · 2026 · Frontiers in Psychology
  35. 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 integration
    I. Mohamed Shiek Mothi, U. Sabura Banu, M. Mohamed Ismail · 2026 · Engineering Applications of Artificial Intelligence