helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
How do humans detect different types of cyberattacks on autonomous vehicles?Direction: AI Explainability, Trust, and Calibration
Trust Calibration in Autonomous Driving and Human-Machine Co-Driving
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27 items
helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
Which augmented display (alert only vs. alert with explanation) most effectively improves human detection of cyberattacks?helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
How are human detection ability and trust affected when augmented display information is not fully reliable (e.g., false positives or misses)?lightbulbPractical problemTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
Human monitoring has limited effect when driving assistance systems struggle to handle cyberattacks.helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
How does driving experience affect drivers' trust dynamics and critical event responses to autonomous driving systems?helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
How do trust levels under different driving conditions affect drivers' visual attention allocation and driving behavior?helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
How can trust effects on driver monitoring behavior and non-driving tasks be quantitatively analyzed?lightbulbPractical problemTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
Drivers may cause safety problems from over-trusting or distrusting autonomous driving systems.helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
What factors affect user comfort during autonomous driving?UbiComp '24Comfort in Autonomous Driving: A Literature Review and an Advanced Integration Framework
helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
What limitations exist in current research on autonomous driving comfort?UbiComp '24Comfort in Autonomous Driving: A Literature Review and an Advanced Integration Framework
helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
How can a comprehensive model classify and describe key factors affecting autonomous driving comfort and their interrelationships?UbiComp '24Comfort in Autonomous Driving: A Literature Review and an Advanced Integration Framework
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
helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
How does transparency design affect users' trust and sense of control in Level 5 autonomous driving systems?IUI '23Don’t fail me! The Level 5 Autonomous Driving Information Dilemma regarding Transparency and User Experience
helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
In system failure scenarios, can interactive dialogue interfaces improve UX through explanatory information?IUI '23Don’t fail me! The Level 5 Autonomous Driving Information Dilemma regarding Transparency and User Experience
helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
Under non-critical failures, do transparency and explanatory design lead to an information dilemma?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 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
helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
Can external human-machine interfaces (eHMIs) with state-plus-intent displays effectively calibrate pedestrian trust when autonomous driving systems encounter failure scenarios?helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
Can state-plus-intent displays improve the safety of pedestrian crossing behavior?helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
How do failure scenarios in autonomous driving systems affect pedestrian trust and crossing behavior?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.helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
How can autonomous driving systems improve UX and acceptance through information transparency?helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
Which is more effective at enhancing user trust and understanding of autonomous driving systems: real-time explanation or post-hoc review explanation?helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
What role does information transparency play in enhancing users' sense of control over autonomous driving systems?lightbulbPractical problemTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
Passengers distrust autonomous driving system decisions, leading to poor experience.helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
How do different scenarios (e.g., technical failure or malicious intrusion) affect vehicle owners' information needs?helpResearch questionTrust Calibration in Autonomous Driving and Human-Machine Co-Driving
How do types of information explanation affect vehicle owners' trust, satisfaction, and behavioral responses?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
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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
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ExplAIn Yourself! Transparency for Positive UX in Autonomous Driving
Tobias Schneider, Joana Hois, Alischa Rosenstein
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Investigating Car Drivers’ Information Demand after Safety and Security Critical Incidents
Lea Theresa Gröber, Matthias Fassl, Abhilash Gupta