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AI Explainability, Trust, and Calibration / Trust Calibration in Autonomous Driving and Human-Machine Co-Driving

Passengers easily feel uncertain during autonomous driving failures, reducing technology acceptance.

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

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.

CHI '25Explanations Help: Leveraging Human Capabilities to Detect Cyberattacks on Automated Vehicles

lightbulbPractical problemTrust Calibration in Autonomous Driving and Human-Machine Co-Driving

Drivers may cause safety problems from over-trusting or distrusting autonomous driving systems.

CHI '25Trust and Visual Focus in Automated Vehicles: A Comparative Study of Beginner and Experienced Drivers

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

Pedestrians cannot judge whether autonomous vehicles will yield when interacting with them, creating safety risks.

CHI '21Calibrating Pedestrians' Trust in Automated Vehicles: Does an Intent Display in an External HMI Support Trust Calibration and Safe Crossing Behavior?

lightbulbPractical problemTrust Calibration in Autonomous Driving and Human-Machine Co-Driving

Passengers distrust autonomous driving system decisions, leading to poor experience.

CHI '21ExplAIn Yourself! Transparency for Positive UX in Autonomous Driving

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.

CHI '21Investigating Car Drivers’ Information Demand after Safety and Security Critical Incidents

Related papers

Explanations Help: Leveraging Human Capabilities to Detect Cyberattacks on Automated Vehicles

Yaohan Ding, jun ying, Yiheng Feng

Trust and Visual Focus in Automated Vehicles: A Comparative Study of Beginner and Experienced Drivers

Richa Singh, Mounia Ziat, Oleg Spakov

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

ExplAIn Yourself! Transparency for Positive UX in Autonomous Driving

Tobias Schneider, Joana Hois, Alischa Rosenstein

Investigating Car Drivers’ Information Demand after Safety and Security Critical Incidents

Lea Theresa Gröber, Matthias Fassl, Abhilash Gupta