@article{Gonzalez-Perez2023a,
title = {AwarNS: A framework for developing context-aware reactive mobile applications for health and mental health},
author = {Alberto González-Pérez and Miguel Matey-Sanz and Carlos Granell-Canut and Laura Díaz-Sanahuja and Juana Bretón-López and Sven Casteleyn},
doi = {10.1016/j.jbi.2023.104359},
issn = {1532-0464},
year = {2023},
date = {2023-04-20},
journal = {Journal of Biomedical Informatics},
volume = {141},
pages = {104359},
abstract = {In recent years, interest and investment in health and mental health smartphone apps have grown significantly. However, this growth has not been followed by an increase in quality and the incorporation of more advanced features in such applications. This can be explained by an expanding fragmentation of existing mobile platforms along with more restrictive privacy and battery consumption policies, with a consequent higher complexity of developing such smartphone applications. To help overcome these barriers, there is a need for robust, well-designed software development frameworks which are designed to be reliable, power-efficient and ethical with respect to data collection practices, and which support the sense-analyse-act paradigm typically employed in reactive mHealth applications. In this article, we present the AwarNS Framework, a context-aware modular software development framework for Android smartphones, which facilitates transparent, reliable, passive and active data sampling running in the background (sense), on-device and server-side data analysis (analyse), and context-aware just-in-time offline and online intervention capabilities (act). It is based on the principles of versatility, reliability, privacy, reusability, and testability. It offers built-in modules for capturing smartphone and associated wearable sensor data (e.g. IMU sensors, geolocation, Wi-Fi and Bluetooth scans, physical activity, battery level, heart rate), analysis modules for data transformation, selection and filtering, performing geofencing analysis and machine learning regression and classification, and act modules for persistence and various notification deliveries. We describe the framework’s design principles and architecture design, explain its capabilities and implementation, and demonstrate its use at the hand of real-life case studies implementing various mobile interventions for different mental disorders used in clinical practice.},
keywords = {context-aware computing, digital phenotyping, location-based services, mHealth, smartphone app, symptoms},
pubstate = {published},
tppubtype = {article}
}

@article{Miralles-Tena2019,
title = {Considerations for designing context-aware mobile apps for mental health interventions},
author = {Ignacio Miralles-Tena and Carlos Granell-Canut},
doi = {10.3390/ijerph16071197},
year = {2019},
date = {2019-03-15},
journal = {International journal of environmental research and public health},
volume = {6},
number = {7},
pages = {1197},
abstract = {This work identifies major areas of knowledge and proposes a set of relevant dimensions by area that must be taken into account in the design and delivery of context-aware mobile applications for mental health interventions. We argue that much of the related research has focused only on a few dimensions, paying little or no attention to others and, most importantly, to potential relationships between them. Our belief is that the improvement of the effectiveness of mobile interventions to support mental health necessarily implies that developers and therapists comprehensively consider the interaction between the proposed dimensions. Taking as a starting point the three areas of knowledge (Technology, Context, and Mental Health), we re-examine each area to identify relevant dimensions, discuss the relationships between them and finally draw a series of
considerations. The resulting considerations can help therapists and developers to devise, design, and generate custom mobile applications in a way that increases the motivation and engagement of patients and, therefore, the effectiveness of psychological treatments.},
note = {IF},
keywords = {context-aware computing, FPU_Miralles, Health applications, Mobile apps, RyC-Granell, symptoms},
pubstate = {published},
tppubtype = {article}
}

@article{Rodríguez-Pupo2019,
title = {An Analytics Platform for Integrating and Computing Spatio-temporal Metrics},
author = {Luis Enrique Rodríguez-Pupo and Carlos Granell-Canut and Sven Casteleyn},
doi = {10.3390/ijgi8020054},
year = {2019},
date = {2019-03-13},
journal = {ISPRS International Journal of Geo-Information},
volume = {8},
number = {2},
pages = {54},
abstract = {In large-scale context-aware applications, a central design concern is capturing, managing and acting upon location and context data. The ability to understand the collected data and define meaningful contextual events, based on one or more incoming (contextual) data streams, both for a single and multiple users, is hereby critical for applications to exhibit location- and context-aware behaviour. In this article, we describe a context-aware, data-intensive metrics platform —focusing primarily on its geospatial support—that allows exactly this: to define and execute metrics, which capture meaningful spatio-temporal and contextual events relevant for the application realm. The platform (1) supports metrics definition and execution; (2) provides facilities for real-time, in-application actions upon metrics execution results; (3) allows post-hoc analysis and visualisation of collected data and results. It hereby offers contextual and geospatial data management and analytics as a service, and allow context-aware application developers to focus on their core application logic. We explain the core platform and its ecosystem of supporting applications and tools, elaborate the most important conceptual features, and discuss implementation realised through a distributed, micro-service based cloud architecture. Finally, we highlight possible application fields, and present a real-world case study in the realm of psychological health.},
note = {IF},
keywords = {context-aware computing, RyC-Casteleyn, RyC-Granell, Software metrics},
pubstate = {published},
tppubtype = {article}
}

@article{Kamberov2017,
title = {Sociology Paradigms for Dynamic Integration of Devices into a Context-Aware System},
author = {Rustam Kamberov and Vitor Santos and Carlos Granell-Canut},
doi = {10.20897/jisem.201702#sthash.wedBYifX.dpuf},
issn = {2468-4376},
year = {2017},
date = {2017-01-01},
journal = {Journal of Information Systems Engineering & Management},
volume = {2},
number = {1},
pages = {2},
abstract = {Ubiquitous and mobile context-aware computing is an essential component of the smart cities infrastructure. Widely available wireless networks, the maturity level of distributed computing and the increasing number of mobile devices have significantly influenced the human experience with computing. In the present paper, we discuss the need for a model that will be able to represent a formal structure of a context-aware system in a device. The core functionality of the model is expected to expose context-aware behaviour and support dynamic integration of mobile devices and context-aware behaviour. The major contribution of this work is to identify deficiencies of the existing model which is using the notions from sociology such as Role, Ownership and Responsibility. - See more at: http://lectitopublishing.nl/Article/Detail/6FCP7NHQ#sthash.VFYCiJOF.dpuf},
keywords = {context-aware computing, GEO-C},
pubstate = {published},
tppubtype = {article}
}