What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- Cognition
His primary areas of investigation include Distraction, Human factors and ergonomics, Driving simulator, Simulation and Computer security.
John D. Lee has researched Distraction in several fields, including Workload, Cognitive load, Cognition, Applied psychology and Collision.
He combines subjects such as Automation, Engineering ethics, Systems engineering, Injury prevention and Suicide prevention with his study of Human factors and ergonomics.
In his study, Sample size determination is strongly linked to Adaptation, which falls under the umbrella field of Driving simulator.
John D. Lee interconnects Human–computer interaction, State and Eye movement in the investigation of issues within Simulation.
His study in Computer security is interdisciplinary in nature, drawing from both Emerging technologies and Internet privacy.
His most cited work include:
- Trust in Automation: Designing for Appropriate Reliance (1947 citations)
- Trust, control strategies and allocation of function in human-machine systems. (894 citations)
- Trust, self-confidence, and operators' adaptation to automation (615 citations)
What are the main themes of his work throughout his whole career to date?
John D. Lee mainly investigates Distraction, Simulation, Driving simulator, Automation and Human factors and ergonomics.
His study looks at the intersection of Distraction and topics like Cognition with Cognitive psychology.
His Simulation research includes elements of Brake, Collision avoidance and Audiology.
John D. Lee combines Driving simulator and Fidelity in his studies.
His Automation research includes themes of Control, Risk analysis, Systems engineering and Operations research.
His studies in Human factors and ergonomics integrate themes in fields like Suicide prevention, Injury prevention and Applied psychology.
He most often published in these fields:
- Distraction (26.60%)
- Simulation (19.41%)
- Driving simulator (15.96%)
What were the highlights of his more recent work (between 2015-2021)?
- Automation (13.56%)
- Human factors and ergonomics (14.36%)
- Artificial intelligence (9.31%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Automation, Human factors and ergonomics, Artificial intelligence, Distraction and Simulation.
The concepts of his Automation study are interwoven with issues in Control, Pedestrian, Data science and Operations research.
His Human factors and ergonomics study combines topics from a wide range of disciplines, such as Injury prevention, Applied psychology and Engineering ethics.
He studied Injury prevention and Suicide prevention that intersect with Computer security.
His study on Distraction also encompasses disciplines like
- Task together with Cognitive load and Cognition,
- Human–computer interaction and related Visualization and Autism.
His work on Driving simulator as part of general Simulation research is frequently linked to In vehicle, thereby connecting diverse disciplines of science.
Between 2015 and 2021, his most popular works were:
- Effortless data exploration with zenvisage: an expressive and interactive visual analytics system (70 citations)
- Detecting and Quantifying Mind Wandering during Simulated Driving (69 citations)
- The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications (35 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- Cognition
His main research concerns Simulation, Applied psychology, Human factors and ergonomics, Automation and Driving simulator.
His research integrates issues of Task, Distraction, Steering wheel, Brake and Text entry in his study of Simulation.
In his research, Qualitative property is intimately related to Transformative learning, which falls under the overarching field of Applied psychology.
His Human factors and ergonomics research incorporates elements of Injury prevention and Suicide prevention.
Within one scientific family, John D. Lee focuses on topics pertaining to Control under Automation, and may sometimes address concerns connected to Look-ahead, Road user, Position paper and Augmented reality.
His Driving simulator study combines topics from a wide range of disciplines, such as Useful field of view, Steering control, Driving simulation, Time to contact and Estimation.
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