David Kaber

Chair/Professor | University of Florida

Gainesville, FL, UNITED STATES

David Kaber is an expert in human factors engineering, data analysis, research design, user-centered design and task analysis.

Biography

David B. Kaber is currently the department chair and dean's leadership professor in the Department of Industrial & Systems Engineering. His current research interests include human–automation interaction and systems safety analysis methods. David is a certified human factors professional and a certified safety professional.

Areas of Expertise (7)

Ergonomics-Related Risk Factor Identification and Measurement in Physical Work Tasks

Virtual Reality Simulation for Motor Skill Training

Human-Robot Interaction in Healthcare

Adaptive Automation Design

Human-Automation Interaction in Life Sciences

Aviation Human Factors and Cockpit Display Design

Measuring and Modeling Driver Distraction and Situation Awareness

Articles (2)

Effect of police mobile computer terminal interface design on officer driving distraction

Applied Ergonomics

Maryam Zahabi and David B. Kaber

2018-02-01

Several crash reports have identified in-vehicle distraction to be a primary cause of emergency vehicle crashes especially in law enforcement. Furthermore, studies have found that mobile computer terminals (MCTs) are the most frequently used in-vehicle technology for police officers. Twenty police officers participated in a driving simulator-based assessment of visual behavior, performance, workload and situation awareness with current and enhanced MCT interface designs.

A conceptual framework of autonomous and automated agents

Theoretical Issues in Ergonomics Science

David B. Kaber

2017-11-27

Recent human-automation interaction research has confused concepts of automation and autonomy and has critiqued theories of automation in human-systems in terms of aspects of autonomy. This situation has led to inappropriate expectation for design and misdirected criticism of design methods. The situation is not new and has origins in historical human factors research. I differentiate the concepts of automation and autonomy with a new framework of agents.