Predicting Driver Fatigue in Monotonous Automated Driving with Explanation using GPBoost and SHAP-Reference-Cited by-同舟云学术

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Predicting Driver Fatigue in Monotonous Automated Driving with Explanation using GPBoost and SHAP

Published:2021-08-24 Issue: Volume: Page:1-11
ISSN:1044-7318
Container-title:International Journal of Human–Computer Interaction
language:en
Short-container-title:International Journal of Human–Computer Interaction

Author:

Zhou Feng¹^ORCID,Alsaid Areen²,Blommer Mike³,Curry Reates³,Swaminathan Radhakrishnan³,Kochhar Dev³,Talamonti Walter³,Tijerina Louis³

Affiliation:

1. Department of Industrial and Manufacturing Systems Engineering, The University of Michigan, Dearborn, USA

2. Department of Industrial and Systems Engineering, The University of Wisconsin, Madison, WI, USA

3. Ford Motor Company Research and Advanced Engineering, Dearborn, USA

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Human Factors and Ergonomics

Link

https://www.tandfonline.com/doi/pdf/10.1080/10447318.2021.1965774

Reference55 articles.

1. Combat COVID-19 infodemic using explainable natural language processing models

2. Modeling dispositional and initial learned trust in automated vehicles with predictability and explainability

3. From Manual Driving to Automated Driving

4. Breath Booster!

5. Driver fatigue surveillance via eye detection

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