Using Eye-tracking Data to Predict Situation Awareness in Real Time during Takeover Transitions in Conditionally Automated Driving

27 March 2021

Papers citing "Using Eye-tracking Data to Predict Situation Awareness in Real Time during Takeover Transitions in Conditionally Automated Driving"

7 / 7 papers shown

Title
Real-time Trust Prediction in Conditionally Automated Driving Using Physiological Measures Jackie Ayoub Lilit Avetisian X. J. Yang Feng Zhou 11 26 0 01 Dec 2022
Cross-Subject Emotion Recognition with Sparsely-Labeled Peripheral Physiological Data Using SHAP-Explained Tree Ensembles Feng Zhou Tao Chen Baiying Lei 29 0 0 05 Nov 2022
Investigating Explanations in Conditional and Highly Automated Driving: The Effects of Situation Awareness and Modality Lilit Avetisyan Jackie Ayoub Feng Zhou FAtt 11 34 0 15 Jul 2022
An Investigation of Drivers' Dynamic Situational Trust in Conditionally Automated Driving Jackie Ayoub Lilit Avetisyan Mustapha Makki Feng Zhou 13 22 0 08 Dec 2021
An Autonomous Driving System - Dedicated Vehicle for People with ASD and their Caregivers Gandhimathi Padmanaban Nathaniel Jachim Hala Shandi Lilit Avetisyan Gar-Rett Smith Howraa Hammoud Feng Zhou 17 6 0 09 Aug 2021
Predicting Driver Takeover Time in Conditionally Automated Driving Jackie Ayoub Na Du X. J. Yang Feng Zhou 20 35 0 20 Jul 2021
Modeling Dispositional and Initial learned Trust in Automated Vehicles with Predictability and Explainability Jackie Ayoub X. J. Yang Feng Zhou 28 65 0 25 Dec 2020