This paper presents a user-centered design methodology for Decision Support Systems (DSSs), which is specifically built to face the socio-technical gap that often impedes DSS acceptability by end users in real work environments. The methodology has been experimented in two case studies in the field of health-related emergencies, namely earthquake and pandemic flu management. Methodology application and results are described with specific focus on the phases of requirement analysis and system evaluation.
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