Automatic feedback on cognitive load and emotional state of traffic controllers
van der Tas, V.
Workload research in command, information and process-control centers, resulted in a modular and formal Cognitive Load and Emotional State (CLES) model with transparent and easy-to-modify classification and assessment techniques. The model distinguishes three representation and analysis layers with an increasing level of abstraction, focusing on respectively the sensing, modeling, and reasoning. Fuzzy logic and its (membership) rules are generated to map a set of values to a cognitive and emotional state (modeling), and to detect surprises of anomalies (reasoning). The models and algorithms allow humans to remain in the loop of workload assessments and distributions, an important resilience requirement of human-automation teams. By detecting unexpected changes (surprises and anomalies) and the corresponding cognition-emotion- performance dependencies, the CLES monitor is expected to improve team's responsiveness to new situations. © 2014 Springer International Publishing.
To reference this document use:
PCS - Perceptual and Cognitive Systems
ELSS - Earth, Life and Social Sciences
Human computer interaction
11th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2014, Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014, 22 - 27 June 2014, Heraklion, Crete, 8532 LNAI, 42-49
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)