Abstract
The ARTEMIS CAMMI project aims at developing a joint-cognitive system to optimise human operator’s performance under demanding labour conditions. The CAMMI domain applications concern avionics, automotive, and civil emergencies. In this paper we address the development of a joint cognitive system for firefighter commanders to optimise situational and team awareness by reducing the workload through mitigation strategies and an adaptive HMI. A general framework and a research methodology are presented to explore the possibilities of applying the CAMMI building blocks in the development of systems to support the handling of firefighter emergencies.
| Original language | Undefined |
|---|---|
| Title of host publication | Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, Proceedings FAC2011, 6th International Conference |
| Editors | Dylan D. Schmorrow, Cali M. Fidopiastis |
| Place of Publication | Berlin |
| Publisher | Springer |
| Pages | 588-597 |
| Number of pages | 10 |
| ISBN (Print) | 978-3-642-21851-4 |
| DOIs | |
| Publication status | Published - 2011 |
Publication series
| Name | Lecture Notes in Computer Science |
|---|---|
| Publisher | Springer Verlag |
| Volume | 6780 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Keywords
- METIS-281664
- Mitigation strategies
- IR-79001
- EWI-21052
- Situational awareness
- Mental load
- HMI
- Team awareness
Cite this
de Graaf, M., Varkevisser, M., Kempen, M., & Jourden, N. (2011). Cognitive adaptive man machine interfaces for the firefighter commander: design framework and research methodology. In D. D. Schmorrow, & C. M. Fidopiastis (Eds.), Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, Proceedings FAC2011, 6th International Conference (pp. 588-597). (Lecture Notes in Computer Science; Vol. 6780). Berlin: Springer. https://doi.org/10.1007/978-3-642-21852-1_68