In a Mass Casualty Incident (MCI) time and good management are critical. Currently, the rst arriving rescue units perform the triage algorithm on paper instead of a mobile device. By using mobile devices, the patients' triage state and position can be instantly shared through a network. We implemented a map application to visualize this data on a rugged tablet PC that is intended to be used by the Ambulant Incident Ocer (AIO). Even though, using a mobile device o ers more bene ts, it also requires some mental e orts from the user. The goal of the SpeedUp project1 is to ensure the speed-up of the rescue process. It is crucial to carefully develop, introduce and evaluate the User Interface (UI) iteratively close to the target group and adapt it to an MCI situation. Thus, multiple UI concepts have been developed to compare, rate and optimize them. This paper represents a follow up study and focuses on approaches to select patients on a digital map displayed on a heavy rugged tablet PC. An evaluation is performed to estimate how intuitive, fficient, and ergonomic the UI is without the need of special training for the target group and to increase the acceptance of new devices.
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In a Mass Casualty Incident (MCI) time and good management are critical. Currently, the rst arriving rescue units perform the triage algorithm on paper instead of a mobile device. By using mobile devices, the patients' triage state and position can be instantly shared through a network. We implemented a map application to visualize this data on a rugged tablet PC that is intended to be used by the Ambulant Incident Ocer (AIO). Even though, using a mobile device o ers more bene ts, it also re...
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