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Method for Measuring the Application Potential of Assembly Assistance Systems Read chapter Read first chapter

2020 | OriginalPaper | Chapter

Disaster Management Support System Prototype Design Evolution Based on UX Testing

Authors : Mário Simões-Marques, Pedro Mendonça, Diogo Figueiredo, Isabel L. Nunes

Published in: Advances in Human Factors and Systems Interaction

Publisher: Springer International Publishing

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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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previous chapter Improving Usability with Think Aloud and Focus Group Methods. A Case Study: An Intelligent Police Patrolling System (I-Pat)
next chapter Applying a Variation of Delphi Method for Knowledge Elicitation in the Context of an Intelligent System Design
Footnotes
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.
 
Literature
1.
Simões-Marques, M., Teodoro, M.F., Calhamonas, G., Nunes, I.L.: Applying a variation of Delphi method for knowledge elicitation in the context of an intelligent system design. In: Nunes, I. (ed.) Advances in Human Factors and Systems Interaction, AHFE 2019. AISC, vol. 959, pp. 386–398. Springer, Cham (2020)
2.
Simões-Marques, M., Figueira, J.R.: How can AI help reduce the burden of Disaster Management decision-making? In: Nunes, I. (ed.) Advances in Human Factors and Systems Interaction, AHFE 2018. Advances in Intelligent Systems and Computing, vol. 781, pp. 122–133. Springer, Cham (2019)
3.
Nunes, I.L., Lucas, R., Simões-Marques, M., Correia, N.: An augmented reality application to support deployed emergency teams. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds.) Proceedings of the 20th Congress of the International Ergonomics Association, IEA 2018. Advances in Intelligent Systems and Computing, vol. 822, pp. 195–204. Springer, Cham (2019)
4.
Simões-Marques, M., Correia, A., Teodoro, M.F., Nunes, I.L.: Empirical studies in user experience of an emergency management system. In: Nunes, I. (ed.) Advances in Human Factors and Systems Interaction, AHFE 2017. Advances in Intelligent Systems and Computing, vol. 592, pp. 97–108. Springer, Cham (2018)
5.
Correia, A., Severino, I., Nunes, I.L., Simões-Marques, M.: Knowledge management in the development of an intelligent system to support emergency response. In: Advances in Human Factors and System Interactions, AHFE 2017. Advances in Intelligent Systems and Computing, vol. 592, pp. 109–120. Springer, Cham (2018)
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Metadata
Title
Disaster Management Support System Prototype Design Evolution Based on UX Testing
Authors
Mário Simões-Marques
Pedro Mendonça
Diogo Figueiredo
Isabel L. Nunes
Copyright Year
2020
Book
Advances in Human Factors and Systems Interaction

Print ISBN: 978-3-030-20039-8

Electronic ISBN: 978-3-030-20040-4

Copyright Year: 2020

DOI
https://doi.org/10.1007/978-3-030-20040-4_34

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