Estimating an operator's cognitive state in real time: A user modeling approach

This paper presents a Cognitive Task Load (CTL) model designed to keep track of an operator's mental workload, both quantitatively (amount of workload) and qualitatively (cognitive state). Every second, the CTL-model updates a diagnosis of the operator's cognitive state; by integrating thi...

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Published in2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication pp. 627 - 633
Main Authors Colin, T. R., Mioch, T., Smets, N. J. J. M., Neerincx, M. A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2012
Subjects
Heart rate
Humans
Information processing
Load modeling
Measurement
Physiology
Robots
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Summary:This paper presents a Cognitive Task Load (CTL) model designed to keep track of an operator's mental workload, both quantitatively (amount of workload) and qualitatively (cognitive state). Every second, the CTL-model updates a diagnosis of the operator's cognitive state; by integrating this model in a (semi-)autonomous robot, the robot's level of automation and user interface can be attuned to the operator's state. The CTL-model's predictions were tested in an Urban Search And Rescue (USAR) setting. The test showed insufficient workload variations to validate the model. This indicates that participants should be subjected to more "high-pressure" conditions in future trials. These results also suggest that in a realistic environment, an operator's mental workload is affected by high-level coping strategies.
ISBN:9781467346047
1467346047
ISSN:1944-9445
1944-9437
DOI:10.1109/ROMAN.2012.6343821