Francesco N. Biondi

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Associate Professor

University of Windsor

Canada

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About

Francesco N. Biondi is an Associate Professor at the University of Windsor, Canada. His research primarily focuses on driver distraction, cognitive workload, and visual behavior in the context of automated driving systems. Recent articles highlight his work on the impact of automation on driver engagement and attention allocation, as well as methods for assessing cognitive workload during driving tasks.

Recent Grants

Grant: Close

Developing A Machine Vision Eye- Blink Detection Application For The Monitoring Of Zoom Fatigue

Open Date: 2021-01-01

Close Date: 2022-01-01

Grant: Close

Translating Atlas Copco's Cognitive Ergonomics Toolkit For Remote Cognitive Load Assessments

Open Date: 2021-01-01

Close Date: 2022-01-01

Grant: Close

Low Cost Eye-Tracking Data Analytic System for Vision Therapy

Open Date: 2021-01-01

Close Date: 2022-01-01

Grant: Close

The Effect of Visual Workload on Cognitive Load and Physical Performance in a Simulated Manufacturing

Open Date: 2021-01-01

Close Date: 2022-01-01

Grant: Close

Data Fusion Strategies for Improved Human Computer Interaction in Autonomous Systems

Open Date: 2020-01-01

Close Date: 2022-01-01

Articles (19)

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2021

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2021

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2021

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2021

Collaborators (2)

Birsen Donmez

University of Toronto

CANADA

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Yong Hoon Kim

University of Windsor

CANADA

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Francesco N. Biondi

Research Interests

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Contact this professor

About

Recent Grants

Articles (19)

Driver distraction in school zones: A roadside observational study in Canada

Effect of Partially Automated Driving on Mental Workload, Visual Behavior and Engagement in Nondriving-Related Tasks: A Meta-Analysis

Stabilization Time after Mode Switch in Conditionally Automated Driving: Focusing on Drivers’ Cognitive Load and Visual Attention

Preface to the Special Issue on Assessment and Effectiveness of Driver Monitoring Systems

Adopting Stimulus Detection Tasks for Cognitive Workload Assessment: Some Considerations

Effects of integrated takeover request warning with personal portable device on takeover time and post-takeover performance in level 3 driving automation

Comparison of concurrent cognitive load measures during n-back tasks

On investigating drivers’ attention allocation during partially-automated driving

Vigilance Decrement During On-Road Partially Automated Driving Across Four Systems

On the potential of pupil size as a metric of physical fatigue during a repeated handle push/pull task

On the Effect of COVID-19 on Drivers’ Behavior: A Survey Study

Automation Confusion: Mental Models for Safe Vehicle Adoption

Distracted worker: Using pupil size and blink rate to detect cognitive load during manufacturing tasks

On validating a generic camera‐based blink detection system for cognitive load assessment

Eye-Gaze Metrics for Cognitive Load Detection on a Driving Simulator

On the Cost of Detection Response Task Performance on Cognitive Load

Overloaded and at Work: Investigating the Effect of Cognitive Workload on Assembly Task Performance

Human factors of automated driving systems: A compendium of lessons learned

Preface to the Special Section on Measuring Cognitive Workload in Human Factors

Collaborators (2)

Birsen Donmez

Yong Hoon Kim

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