Automatic feedback on cognitive load and emotional state of traffic controllers
conference paper
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.
Topics
TNO Identifier
513330
ISSN
16113349
ISBN
9783319075143
Publisher
Springer Verlag
Source title
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
Pages
42-49
Files
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