The cognitive workload of operators working with automated systems should neither be too high nor too low. A static level of automation is unable to cope with systems that produce large fluctuations in cognitive workload, therefore a method for adaptive automation is proposed that could balance workload by intelligently choosing what to automate and when. To this end the concept of the Cognitive Workload Value factor is introduced, which takes into account both workload and situation awareness. This initial work introduces a possible framework for categorizing and using different workload and situation awareness measures
Increases in modern-day system complexity, has led for a need to improve human performance and the i...
Adaptive Automation has been often invoked as a remedy to indiscriminate introduction of automation ...
Adaptive automation may help balance system autonomy with human interaction in supervisory control e...
The cognitive workload of operators working with automated systems should neither be too high nor to...
Adaptive automation is expected to reduce workload and increase situational awareness; however, thes...
In human-computer systems, such as supervisory control systems, large volumes of incoming and comple...
This paper presents a framework for mental workload that describes the adaptive nature of human bein...
Automation, as defined by Parasuraman et al. (2000, p. 287), is a “device or system that either part...
H-Workload 2017: The first international symposium on human mental workload, Dublin Institute of Tec...
The implementation of automation relies on the assumption that automation will reduce the operator\u...
Many authors have suggested that level of automation in an adaptive system should be coupled to ment...
Buchholz V, Kopp S. Towards an Adaptive Assistance System for Monitoring Tasks: Assessing Mental Wor...
Human operators often experience large fuctuations in cognitive workload over seconds timescales tha...
Increases in modern-day system complexity, has led for a need to improve human performance and the i...
We have implemented an integrated system, called Computational Situation Awareness (CSA), into a pro...
Increases in modern-day system complexity, has led for a need to improve human performance and the i...
Adaptive Automation has been often invoked as a remedy to indiscriminate introduction of automation ...
Adaptive automation may help balance system autonomy with human interaction in supervisory control e...
The cognitive workload of operators working with automated systems should neither be too high nor to...
Adaptive automation is expected to reduce workload and increase situational awareness; however, thes...
In human-computer systems, such as supervisory control systems, large volumes of incoming and comple...
This paper presents a framework for mental workload that describes the adaptive nature of human bein...
Automation, as defined by Parasuraman et al. (2000, p. 287), is a “device or system that either part...
H-Workload 2017: The first international symposium on human mental workload, Dublin Institute of Tec...
The implementation of automation relies on the assumption that automation will reduce the operator\u...
Many authors have suggested that level of automation in an adaptive system should be coupled to ment...
Buchholz V, Kopp S. Towards an Adaptive Assistance System for Monitoring Tasks: Assessing Mental Wor...
Human operators often experience large fuctuations in cognitive workload over seconds timescales tha...
Increases in modern-day system complexity, has led for a need to improve human performance and the i...
We have implemented an integrated system, called Computational Situation Awareness (CSA), into a pro...
Increases in modern-day system complexity, has led for a need to improve human performance and the i...
Adaptive Automation has been often invoked as a remedy to indiscriminate introduction of automation ...
Adaptive automation may help balance system autonomy with human interaction in supervisory control e...