Abstract
The analysis of past disaster response operations led to recommendations for improving disaster management, namely on the areas of situational awareness, decision support, and organizational agility. Information technologies offer solutions with the potential to answer these recommendations. This was the reason for launching the THEMIS (disTributed Holistic Emergency Management Intelligent System) project, which followed the UCD approach. THEMIS is an Intelligent System that applies Artificial Intelligence methodologies in support of disaster managers and first responders. The paper addresses the activities regarding designing and testing the user interaction of a digital prototype developed for disaster managers, describing the procedures adopted, the test conditions, test population, and the evolution of prototypes based on test findings. The paper also addresses the use of eye-tracking to support the analysis of tests, helping on the identification of user errors or problems faced while performing the tasks established in a validated test script.
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Notes
- 1.
Balsamiq is a low-fidelity wireframing software, accessible at https://balsamiq.com/.
- 2.
In parallel with the tests discussed in this paper there were tests conducted to a mobile app prototype. The user groups swapped from prototype type from Round 1 to Round 2.
References
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Acknowledgments
The work was funded by the Portuguese Ministry of Defense and by the Portuguese Navy and by project UID/EMS/00667/2013. Pedro Mendonça acknowledges the financial support from the Portuguese Foundation for Science and Technology (FCT), PD/BD/52329/2013 and “CAMELOT - C2 Advanced Multi-domain Environment and Live Observation Technologies” Project ID: 740736, funded under the European Commission grants H2020-EU.3.7.3. - Strengthen security through border management; H2020-EU.3.7.7. - Enhance standardization and interoperability of systems, including for emergency purposes.
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Simões-Marques, M., Mendonça, P., Figueiredo, D., Nunes, I.L. (2020). Disaster Management Support System Prototype Design Evolution Based on UX Testing. 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_34
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