Quality Attributes Analysis in a Crowdsourcing-based Emergency Management System

Ana Maria Amorim, Glaucya Boechat, Renato Novais, Vaninha Vieira, Karina Villela

2017

Abstract

In an emergency situation where the physical integrity of people is at risk, a mobile solution should be easy to use and trustworthy. In order to offer a good user experience and to improve the quality of the app, we should evaluate characteristics of usability, satisfaction, and freedom from risk. This paper presents an experiment whose objective is to evaluate quality attributes in a crowdsourcing-based emergency management system. The quality attributes evaluated are: appropriateness recognisability, user interface aesthetics, usefulness, trust, and health and safety risk mitigation. The experiment was designed following the Goal/Question/Metric approach. We could evaluate the app with experts from the area of emergency. The results showed that the participants thought the app was well designed, easy to understand, easy to learn, and easy to use. This evaluation ensured the application improvement, and also the evaluation process adopted.

References

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Paper Citation


in Harvard Style

Amorim A., Boechat G., Novais R., Vieira V. and Villela K. (2017). Quality Attributes Analysis in a Crowdsourcing-based Emergency Management System . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-248-6, pages 501-509. DOI: 10.5220/0006360405010509


in Bibtex Style

@conference{iceis17,
author={Ana Maria Amorim and Glaucya Boechat and Renato Novais and Vaninha Vieira and Karina Villela},
title={Quality Attributes Analysis in a Crowdsourcing-based Emergency Management System},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2017},
pages={501-509},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006360405010509},
isbn={978-989-758-248-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Quality Attributes Analysis in a Crowdsourcing-based Emergency Management System
SN - 978-989-758-248-6
AU - Amorim A.
AU - Boechat G.
AU - Novais R.
AU - Vieira V.
AU - Villela K.
PY - 2017
SP - 501
EP - 509
DO - 10.5220/0006360405010509