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. © 2011 Springer-Verlag.
CITATION STYLE
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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6780 LNAI, pp. 588–597). https://doi.org/10.1007/978-3-642-21852-1_68
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