lightbulbPractical problemTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
Drivers may cause safety problems from over-trusting or distrusting autonomous driving systems.AI Explainability, Trust, and Calibration / Trust Calibration in Autonomous Driving and Human-Machine Co-Driving
Drivers may cause safety problems from over-trusting or distrusting autonomous driving systems.
Similar questions
lightbulbPractical problemTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
Human monitoring has limited effect when driving assistance systems struggle to handle cyberattacks.lightbulbPractical problemTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
Users lack trust and comfort in autonomous vehicles, affecting adoption.UbiComp '24Comfort in Autonomous Driving: A Literature Review and an Advanced Integration Framework
lightbulbPractical problemTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
Passengers easily feel uncertain during autonomous driving failures, reducing technology acceptance.IUI '23Don’t fail me! The Level 5 Autonomous Driving Information Dilemma regarding Transparency and User Experience
lightbulbPractical problemTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
Pedestrians cannot judge whether autonomous vehicles will yield when interacting with them, creating safety risks.lightbulbPractical problemTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
Passengers distrust autonomous driving system decisions, leading to poor experience.lightbulbPractical problemTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
When vehicle automation fails, drivers do not understand the problem source or how to respond.Related papers
CHI 2025
Explanations Help: Leveraging Human Capabilities to Detect Cyberattacks on Automated Vehicles
Yaohan Ding, jun ying, Yiheng Feng
CHI 2025
Trust and Visual Focus in Automated Vehicles: A Comparative Study of Beginner and Experienced Drivers
Richa Singh, Mounia Ziat, Oleg Spakov
CHI 2021
Calibrating Pedestrians' Trust in Automated Vehicles: Does an Intent Display in an External HMI Support Trust Calibration and Safe Crossing Behavior?
Stefanie Martina Faas, Johannes Kraus, Alexander Schoenhals
CHI 2021
ExplAIn Yourself! Transparency for Positive UX in Autonomous Driving
Tobias Schneider, Joana Hois, Alischa Rosenstein
CHI 2021
Investigating Car Drivers’ Information Demand after Safety and Security Critical Incidents
Lea Theresa Gröber, Matthias Fassl, Abhilash Gupta