van de Ven Pepijn, O'Brien Hugh, Henriques Ricardo, Klein Michel, Msetfi Rachel, Nelson John, Rocha Artur, Ruwaard Jeroen, O'Sullivan Donal, Riper Heleen
University of Limerick, Limerick, Ireland.
INESC TEC, Porto, Portugal.
Internet Interv. 2017 Jul 6;9:74-81. doi: 10.1016/j.invent.2017.07.001. eCollection 2017 Sep.
In this paper we introduce a new Android library, called ULTEMAT, for the delivery of ecological momentary assessments (EMAs) on mobile devices and we present its use in the MoodBuster app developed in the H2020 E-COMPARED project. We discuss context-aware, or event-based, triggers for the presentation of EMAs and discuss the potential they have to improve the effectiveness of mobile provision of mental health interventions as they allow for the delivery of assessments to the patients when and where these are most appropriate. Following this, we present the abilities of ULTEMAT to use such context-aware triggers to schedule EMAs and we discuss how a similar approach can be used for Ecological Momentary Interventions (EMIs).
在本文中，我们介绍了一种名为ULTEMAT的全新安卓库，用于在移动设备上进行生态瞬时评估（EMA），并展示了其在H2020 E - COMPARED项目中开发的MoodBuster应用程序中的应用。我们讨论了用于呈现EMA的情境感知或基于事件的触发因素，并探讨了它们在提高移动心理健康干预效果方面的潜力，因为它们能够在最合适的时间和地点向患者提供评估。在此之后，我们展示了ULTEMAT利用此类情境感知触发因素来安排EMA的能力，并讨论了如何将类似方法用于生态瞬时干预（EMI）。
