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.AI Explainability, Trust, and Calibration / Trust Calibration in Autonomous Driving and Human-Machine Co-Driving
Pedestrians cannot judge whether autonomous vehicles will yield when interacting with them, creating safety risks.
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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
Drivers may cause safety problems from over-trusting or distrusting autonomous driving systems.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
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
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