Cognitive adaptive man machine interfaces for the firefighter commander: design framework and research methodology

Authors:
Maurits de Graaf;Michel Varkevisser;Masja Kempen;Nicolas Jourden
Affiliations:
Thales Nederland, Land Forces & Security, Huizen, The Netherlands.;Human Factors & Cognition Laboratory, Thales Research & Technology, Delft, The Netherlands;Human Factors & Cognition Laboratory, Thales Research & Technology, Delft, The Netherlands;Thales Nederland, Land Forces & Security, Huizen, The Netherlands
Venue:
FAC'11 Proceedings of the 6th international conference on Foundations of augmented cognition: directing the future of adaptive systems
Year:
2011

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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 jointcognitive 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.