Call for Papers: Special Issue on Measuring Cognitive Workload in Human Factors

  
Special editors: Francesco Biondi, Joel Cort, University of Windsor; William J. Horrey, AAA Foundation for Traffic Safety; Joel M. Cooper, and David L. Strayer, University of Utah

Measuring operator cognitive workload has become an important topic in human factors. Being able to accurately understand how cognitive workload is influenced by the task at hand, and how, in turn, it dynamically modulates human-machine interaction is paramount in determining the efficiency and safety of systems and workplaces. Likewise, stakeholders in various fields of human factors have addressed the need for developing and validating tools to measure cognitive workload, and warned about the disruptive effects that cognitive overload have on workers’ performance and output quality in the workplace.

The proposed special section will invite theoretical, methodological and empirical contributions that address the issue of measuring cognitive workload and understanding its dynamic evolution in human factors domains. Topics of interest include:

  • Development of unique methodologies to measure cognitive workload;
  • Adaptation of tools for cognitive workload to diverse fields of human factors;
  • Dynamic fluctuations in cognitive workload during continuous human-machine interaction;
  • Computational modelling of cognitive workload;
  • Assessment of cognitive workload in teamwork.

Contributions from all fields of human factors are invited. These include but are not limited to: road and rail transportation, occupational ergonomics, healthcare, aviation.

Deadline is December 13, 2019.

For more information, contact:
Francesco Biondi, Ph.D.
francesco.biondi@uwindsor.ca