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Is Users' Trust during Automated Driving Different When Using an Ambient Light HMI, Compared to an Auditory HMI?

, , , , , , and . Inf., 14 (5): 260 (May 2023)

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Modeling Driving Performance Using In-Vehicle Speech Data From a Naturalistic Driving Study., , , , and . Hum. Factors, 58 (6): 833-845 (2016)Driver Distraction: Behavioural Markers for Performance Impairment in Naturalistic Driving.. Monash University, Australia, (2016)An Eye Gaze Heatmap Analysis of Uncertainty Head-Up Display Designs for Conditional Automated Driving., , , , , , and . CHI, page 258:1-258:16. ACM, (2024)Is Users' Trust during Automated Driving Different When Using an Ambient Light HMI, Compared to an Auditory HMI?, , , , , , and . Inf., 14 (5): 260 (May 2023)The Impacts of Temporal Variation and Individual Differences in Driver Cognitive Workload on ECG-Based Detection., , , , , , , , and . Hum. Factors, (2021)Get Ready for Take-Overs: Using Head-Up Display for Drivers to Engage in Non-Driving-Related Tasks in Automated Vehicles., , , , and . Hum. Factors, 65 (8): 1759-1775 (December 2023)Human-Centered Design for an In-Vehicle Truck Driver Fatigue and Distraction Warning System., , , , , , and . IEEE Trans. Intell. Transp. Syst., 23 (6): 5350-5359 (2022)Effects of Distraction in On-Road Level 2 Automated Driving: Impacts on Glance Behavior and Takeover Performance., , and . Hum. Factors, (2021)Spectral Analysis of EEG During Microsleep Events Annotated via Driver Monitoring System to Characterize Drowsiness., , , , , , , , , and 5 other author(s). IEEE Trans. Aerosp. Electron. Syst., 56 (2): 1346-1356 (2020)Evaluating Driver Features for Cognitive Distraction Detection and Validation in Manual and Level 2 Automated Driving., , , , and . Hum. Factors, 64 (4): 746-759 (2022)