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On the Forces of Driver Distraction: Explainable Predictions for the
  Visual Demand of In-Vehicle Touchscreen Interactions

On the Forces of Driver Distraction: Explainable Predictions for the Visual Demand of In-Vehicle Touchscreen Interactions

Accident Analysis and Prevention (Accid Anal Prev), 2023
5 January 2023
Patrick Ebel
Christoph Lingenfelder
Andreas Vogelsang
    FAttAAML
ArXiv (abs)PDFHTMLGithub

Papers citing "On the Forces of Driver Distraction: Explainable Predictions for the Visual Demand of In-Vehicle Touchscreen Interactions"

4 / 4 papers shown
Predicting Multitasking in Manual and Automated Driving with Optimal Supervisory Control
Predicting Multitasking in Manual and Automated Driving with Optimal Supervisory Control
Jussi Jokinen
Patrick Ebel
Tuomo Kujala
211
2
0
23 Mar 2025
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review
  and Research Roadmap
Advancing Explainable Autonomous Vehicle Systems: A Comprehensive Review and Research Roadmap
Sule Tekkesinoglu
Azra Habibovic
Lars Kunze
306
20
0
19 Mar 2024
Generative AI and Attentive User Interfaces: Five Strategies to Enhance
  Take-Over Quality in Automated Driving
Generative AI and Attentive User Interfaces: Five Strategies to Enhance Take-Over Quality in Automated Driving
Patrick Ebel
119
3
0
16 Feb 2024
Multitasking while Driving: How Drivers Self-Regulate their Interaction
  with In-Vehicle Touchscreens in Automated Driving
Multitasking while Driving: How Drivers Self-Regulate their Interaction with In-Vehicle Touchscreens in Automated DrivingInternational journal of human computer interactions (IJHCI), 2023
Patrick Ebel
Christoph Lingenfelder
Andreas Vogelsang
104
19
0
25 May 2023
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