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D-Index & Metrics

Computer Science

D-Index
39
Citations
10236
World Ranking
9547
National Ranking
4048

Overview

David B. Kaber is affiliated with the University of Florida in the United States. Their research primarily focuses on human-automation interaction, safety, and ergonomics, with extensive work on human-machine systems and biomedical engineering.

The scientist has published numerous articles in prominent venues, frequently contributing to:

  • IEEE Transactions on Systems Man and Cybernetics Systems
  • IEEE Transactions on Human-Machine Systems
  • AHFE International
  • International Journal of Industrial Ergonomics
  • 2020 IEEE International Conference on Human-Machine Systems (ICHMS)

Key research topics covered in their work include:

  • Human-Automation Interaction and Safety
  • Traffic and Road Safety
  • Safety Warnings and Signage
  • Muscle Activation and Electromyography Studies
  • EEG and Brain-Computer Interfaces
  • Occupational Health and Safety Research
  • Motor Control and Adaptation

Within their fields of study, David B. Kaber has contributed to subfields such as:

  • Social Psychology
  • Safety, Risk, Reliability and Quality
  • Biomedical Engineering
  • Cognitive Neuroscience
  • Radiological and Ultrasound Technology

Frequent co-authors in their research include:

  • Enrique Herrera-Viedma
  • Giancarlo Fortino
  • Andreas Nuernberger
  • Sam Kwong
  • Fei-Yue Wang

Recent publications by David B. Kaber highlight various aspects of ergonomics, human-machine interaction, and control interfaces:

  • Human-Centered Evaluation of EMG-Based Upper-Limb Prosthetic Control Modes, 2024, IEEE Transactions on Human-Machine Systems
  • Assessing Workload in Using Electromyography (EMG)-Based Prostheses, 2023, Ergonomics
  • Age Differences in Driver Visual Behavior and Vehicle Control When Driving with In-Vehicle and On-Road Deliveries of Service Logo Signs, 2022, International Journal of Industrial Ergonomics
  • Utility of Functional Transparency and Usability in UAV Supervisory Control Interface Design, 2021, International Journal of Social Robotics
  • Enhancement and Application of a UAV Control Interface Evaluation Technique, 2020, ACM Transactions on Human-Robot Interaction

Best Publications

  • Level of automation effects on performance, situation awareness and workload in a dynamic control task

    Mica R. Endsley;David B. Kaber

  • Common metrics for human-robot interaction

    Aaron Steinfeld;Terrence Fong;David Kaber;Michael Lewis

  • The effects of level of automation and adaptive automation on human performance, situation awareness and workload in a dynamic control task

    David B. Kaber;Mica R. Endsley

  • Telepresence

    Unknown

  • Situation awareness and workload in driving while using adaptive cruise control and a cell phone

    Ruiqi Ma;David B. Kaber

  • Out-of-the-Loop Performance Problems and the Use of Intermediate Levels of Automation for Improved Control System Functioning and Safety

    David B. Kaber;Mica R. Endsley

  • Usability and Safety in Electronic Medical Records Interface Design: A Review of Recent Literature and Guideline Formulation.

    Maryam Zahabi;David B. Kaber;Manida Swangnetr

  • Design of Automation for Telerobots and the Effect on Performance, Operator Situation Awareness, and Subjective Workload

    David B. Kaber;Emrah Onal;Mica R. Endsley

  • Situation awareness implications of adaptive automation for information processing in an air traffic control-related task

    David B. Kaber;Carlene M. Perry;Noa Segall;Christopher K. McClernon

  • On the Design of Adaptive Automation for Complex Systems

    David B. Kaber;Jennifer M. Riley;Kheng-Wooi Tan;Mica R. Endsley

  • Human-Automation Interaction Research: Past, Present, and Future

    Peter A. Hancock;Richard J. Jagacinski;Raja Parasuraman;Christopher D. Wickens

  • Driver performance effects of simultaneous visual and cognitive distraction and adaptation behavior

    David B. Kaber;Yulan Liang;Yu Zhang;Meghan L. Rogers

  • Issues in Human–Automation Interaction Modeling: Presumptive Aspects of Frameworks of Types and Levels of Automation:

    David B. Kaber

  • Adaptive automation of human-machine system information-processing functions.

    David B. Kaber;Melanie C. Wright;Lawrence J. Prinzel;Michael P. Clamann

  • Adaptive Automation of a Dynamic Control Task Based on Secondary Task Workload Measurement

    David B. Kaber;Jennifer M. Riley

  • Team situation awareness for process control safety and performance

    David B. Kaber;Mica R. Endsley

  • Emotional State Classification in Patient–Robot Interaction Using Wavelet Analysis and Statistics-Based Feature Selection

    M. Swangnetr;D. B. Kaber

  • Service robot feature design effects on user perceptions and emotional responses

    Tao Zhang;David B. Kaber;Biwen Zhu;Manida Swangnetr

  • Situation awareness and attention allocation measures for quantifying telepresence experiences in teleoperation

    Jennifer M. Riley;David B. Kaber;John V. Draper

  • Effects of physical workload on cognitive task performance and situation awareness

    Carlene M. Perry;Mohamed A. Sheik-Nainar;Noa Segall;Ruiqi Ma

  • The Red-Line of Workload: Theory, Research, and Design

    Rebecca Grier;Christopher Wickens;David Kaber;David L. Strayer

  • Common metrics for human-robot interaction

    T. Fong;D. Kaber;M. Lewis;J. Scholtz

Frequent Co-Authors

Mica R. Endsley
Mica R. Endsley SA Technologies (United States)
Mo-Yuen Chow
Mo-Yuen Chow North Carolina State University
Terrence Fong
Terrence Fong Ames Research Center
Christopher D. Wickens
Christopher D. Wickens Colorado State University
Robert R. Hoffman
Robert R. Hoffman Florida Institute for Human and Machine Cognition
Peter A. Hancock
Peter A. Hancock University of Central Florida
Alan C. Schultz
Alan C. Schultz United States Naval Research Laboratory
Raja Parasuraman
Raja Parasuraman George Mason University
Julie A. Adams
Julie A. Adams Oregon State University
Aaron Steinfeld
Aaron Steinfeld Carnegie Mellon University

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