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Towards a non-functional requirements discovery approach for persuasive systems

Authors: Alejandro Catala; João Araújo; Patricia Lago; Nelly Condori-Fernandez;

Towards a non-functional requirements discovery approach for persuasive systems

Abstract

[Abstract] A number of software systems that attempt to help people achieve behavior change have been proposed in various domains such as health and wellness. However, sometimes, such systems have failed to provide a satisfactory or sustainable User Experience (UX), as it is observed when users may be reluctant to respond to the activation of the systems' changing demands. Moreover, a negative User Experience (UX) can be exposed by Behavior Change Support Systems (BCSS) if designers do not have clear understanding of the requirements that factually help changing the user behavior that accomplishes a sustainability goal. We first explored the Persuasive System Design (PSD) model that should be considered in UX assessment of BCSSs. Then, we propose a requirements discovery process that can be considered to redesign a software interactive system based on negative UX. This work has received partial support by the projects FEDER-UE CSI ED431G/01, ED43C 2018/29, accreditation 2016-2019 ED431G/08, KUSISQA supported by N° 014-2019-FONDECYT-BM-INC.INV, NOVA LINCS UID/CEC/04516/2019, MICINN IJC2018-037522-I, RTI2018-099646-B-I00 Xunta de Galicia; ED431G/01 Xunta de Galicia; ED43C 2018/29 Xunta de Galicia; ED431G/08 Gobierno de Chile; 014-2019-FONDECYTBM-INC.INV República Portuguesa. Fundação para a Ciência e a Tecnologia; UID/CEC/04516/2019

Keywords

Sustainability, Non-functional requirements, UX assessment, Persuasive systems

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
Green