Abstract
The effectiveness, efficiency and satisfaction are key indicators of the Usability of a system. The outcome of the knowledge management process associated with the development of intelligent systems is determinant in this regard. The paper describes the use of the Delphi method to identify the level of fitness that subject matter experts (SMEs) recognize on different types of response units to perform specific disaster response tasks, with the purpose of expliciting the knowledge required for the inference process of the THEMIS intelligent system. Since the SMEs involved in this elicitation process had different levels of experience on different domains of disaster management, to help reaching consensus the Delphi method was modified to weight the level of experience expressed by the SMEs. This variant of the Delphi method is presented, discussing the approach adopted in each step of the iterative process, the obtained results, and the followed validation process.
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The work was funded by the Portuguese Ministry of Defense and by the Portuguese Navy.
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Simões-Marques, M., Filomena Teodoro, M., Calhamonas, G., Nunes, I.L. (2020). Applying a Variation of Delphi Method for Knowledge Elicitation in the Context of an Intelligent System Design. In: Nunes, I. (eds) Advances in Human Factors and Systems Interaction. AHFE 2019. Advances in Intelligent Systems and Computing, vol 959. Springer, Cham. https://doi.org/10.1007/978-3-030-20040-4_35
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