Since the publication of agile manifesto in 2001, agile methodologies has been gaining significant interest in both software industry and research community. Agile User-Centered Design (AUCD) assesses the challenge of integrating agile development with user experience and usability techniques. Although both methodologies have similarities, their scope and perspective are different and difficult to integrate. The eHealth domain implies additional challenges in terms of usability, due to the differences between healthcare professionals, and lack of knowledge of the day-to-day work carried out in different care tiers. Therefore, the challenge is twofold: to achieve an adequate symbiosis of work between teams, and design a solution adapted to the needs of diverse stakeholders with vast differences in their context of use. We designed a lightweight AUCD process adapted to such situation, and we present our experience in the design and implementation of such development process for the development of a system to monitor frailty in elder patients with support for both community and specialized care. As a result, our UCD process has achieved both iterative and incremental value generation, maintaining a good coordination between developers and UX designers, and resulting on a usable solution with regard to target users.
Team formation (TF) faces the problem of defining teams of agents able to accomplish a set of tasks. Resilience on TF problems aims to provide robustness and adaptability to unforeseen events involving agent deletion. However, agents are unaware of the inherent social welfare in these teams. This article tackles the problem of how teams can minimise their effort in terms of organisation and communication considering these dynamics. Our main contribution is twofold: first, we introduce the Stabilisable Team Formation (STF) as a generalisation of current resilient TF model, where a team is stabilisable if it possesses and preserves its inter-agent organisation from a graph-based perspective. Second, our experiments show that stabilisability is able to reduce the exponential execution time in several units of magnitude with the most restrictive configurations, proving that communication effort in subsequent task allocation problems are relaxed compared with current resilient teams. To do so, we developed SBB-ST, a branch-and-bound algorithm based on Distributed Constrained Optimisation Problems (DCOP) to compute teams. Results evidence that STF improves their predecessors, extends the resilience to subsequent task allocation problems represented as DCOP, and evidence how Stabilisability contributes to resilient TF problems by anticipating decisions for saving resources and minimising the effort on team organisation in dynamic scenarios.
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