2024
Matey-Sanz, Miguel; González-Pérez, Alberto; Casteleyn, Sven; Granell-Canut, Carlos
Implementing and Evaluating the Timed Up and Go Test Automation Using Smartphones and Smartwatches Journal Article
In: IEEE Journal of Biomedical and Health Informatics, vol. 28, iss. 11, pp. 6594 - 6605, 2024, ISSN: 2168-2208.
Abstract | Links | BibTeX | Tags: activity recognition, machine learning, Mobile apps, symptoms, wearables
@article{Matey2024b,
title = {Implementing and Evaluating the Timed Up and Go Test Automation Using Smartphones and Smartwatches},
author = {Miguel Matey-Sanz and Alberto González-Pérez and Sven Casteleyn and Carlos Granell-Canut},
doi = {https://doi.org/10.1109/JBHI.2024.3456169},
issn = {2168-2208},
year = {2024},
date = {2024-09-09},
urldate = {2024-09-09},
journal = {IEEE Journal of Biomedical and Health Informatics},
volume = {28},
issue = {11},
pages = {6594 - 6605},
abstract = {Physical performance tests aim to assess the physical abilities and mobility skills of individuals for various healthcare purposes. They are often driven by experts and usually performed at their practice, and therefore they are resource-intensive and time-demanding. For tests based on objective measurements (e.g., duration, repetitions), technology can be used to automate them, allowing the patients to perform the test themselves, more frequently and anywhere, while alleviating the expert from supervising the test. The well-known Timed Up and Go (TUG) test, typically used for mobility assessment, is an ideal candidate for automation, as inertial sensors (among others) can be deployed to detect the various movements constituting the test without expert supervision. To move from expert-led testing to self-administered testing, we present a mHealth system capable of automating the TUG test using a pocket-sized smartphone or a wrist smartwatch paired with a smartphone, where data from inertial sensors are used to detect the activities carried out by the patient while performing the test and compute their results in real time. All processing (i.e., data processing, machine learning-based activity inference, results calculation) takes place on the smartphone. The use of both devices to automate the TUG test was evaluated (w.r.t. accuracy, reliability and battery consumption) and mutually compared, and set off with a reference method, obtaining excellent Bland-Altman agreement results and Intraclass Correlation Coefficient reliability. Results also suggest that the smartwatch-based system performs better than the smartphone-based system.},
keywords = {activity recognition, machine learning, Mobile apps, symptoms, wearables},
pubstate = {published},
tppubtype = {article}
}
Physical performance tests aim to assess the physical abilities and mobility skills of individuals for various healthcare purposes. They are often driven by experts and usually performed at their practice, and therefore they are resource-intensive and time-demanding. For tests based on objective measurements (e.g., duration, repetitions), technology can be used to automate them, allowing the patients to perform the test themselves, more frequently and anywhere, while alleviating the expert from supervising the test. The well-known Timed Up and Go (TUG) test, typically used for mobility assessment, is an ideal candidate for automation, as inertial sensors (among others) can be deployed to detect the various movements constituting the test without expert supervision. To move from expert-led testing to self-administered testing, we present a mHealth system capable of automating the TUG test using a pocket-sized smartphone or a wrist smartwatch paired with a smartphone, where data from inertial sensors are used to detect the activities carried out by the patient while performing the test and compute their results in real time. All processing (i.e., data processing, machine learning-based activity inference, results calculation) takes place on the smartphone. The use of both devices to automate the TUG test was evaluated (w.r.t. accuracy, reliability and battery consumption) and mutually compared, and set off with a reference method, obtaining excellent Bland-Altman agreement results and Intraclass Correlation Coefficient reliability. Results also suggest that the smartwatch-based system performs better than the smartphone-based system.
2023
Gómez-Cambronero, Águeda
"Horizon: Resilience": A Smartphone-based Serious Game Intervention for Depressive Symptoms PhD Thesis
Universitat Jaume I. INIT, 2023.
Abstract | Links | BibTeX | Tags: mental health, Mobile apps, mobile computing, serious games, symptoms
@phdthesis{GomezCambronero2023b,
title = {"Horizon: Resilience": A Smartphone-based Serious Game Intervention for Depressive Symptoms},
author = {Águeda Gómez-Cambronero},
url = {http://hdl.handle.net/10803/689528},
doi = {http://dx.doi.org/10.6035/14101.2023.544418},
year = {2023},
date = {2023-12-11},
school = {Universitat Jaume I. INIT},
abstract = {Depression is the most prevalent mental issue in our society, leading to disability and suicide deaths. The COVID-19 pandemic has intensified the need for depression treatment and prevention. While effective, evidence-based psychological treatments for depression exists, only a small percentage of those in need actually receive them. Technology, particularly smartphone-based interventions, can help maximize the reach of these treatments while ensuring their effectiveness, although it comes with challenges, such as high dropout rates. Despite the potential
of this therapy, this is a field that requires considerably more research to fully explore the benefits that smartphones have to offer. Specifically, serious games, designed with a purpose beyond entertainment, have emerged as a promising treatment tool, leveraging advance smartphone capabilities, aligning with psychological treatment principles, and enhancing user engagement.
This dissertation introduces “Horizon: Resilience”, a smartphone-based Serious Game for depressive symptoms. It is a city builder game with a decision making narrative, in which the player (patient) manages a town. The objective is to make the town progress, ensuring the steady inflow of resources and fostering the psychological resilience of its inhabitants. The game is based on the Cognitive Behavioral Therapy (CBT) framework and includes Positive Psychology (PP) techniques. These psychological techniques are woven into the game’s gameplay, feedback, economy system, quests, graphics, and story. Noteworthy is the integration of promoting Physical Activity, detected using the phone’s motion sensors, as part of gameplay. The game draws on the findings of a scoping review on smartphone-based serious games in mental health, and was informed by consultations with therapists as part of a user-centered design. Therapists and patients furthermore provided a qualitative and quantitative evaluation of a Minimum Viable Product (MVP) of the game. Their positive impressions indicate high acceptance and positive expectation regarding the use of the game as an
intervention. Lastly, a pilot randomized controlled trial protocol is outlined to assess its preliminary effectiveness-},
keywords = {mental health, Mobile apps, mobile computing, serious games, symptoms},
pubstate = {published},
tppubtype = {phdthesis}
}
Depression is the most prevalent mental issue in our society, leading to disability and suicide deaths. The COVID-19 pandemic has intensified the need for depression treatment and prevention. While effective, evidence-based psychological treatments for depression exists, only a small percentage of those in need actually receive them. Technology, particularly smartphone-based interventions, can help maximize the reach of these treatments while ensuring their effectiveness, although it comes with challenges, such as high dropout rates. Despite the potential
of this therapy, this is a field that requires considerably more research to fully explore the benefits that smartphones have to offer. Specifically, serious games, designed with a purpose beyond entertainment, have emerged as a promising treatment tool, leveraging advance smartphone capabilities, aligning with psychological treatment principles, and enhancing user engagement.
This dissertation introduces “Horizon: Resilience”, a smartphone-based Serious Game for depressive symptoms. It is a city builder game with a decision making narrative, in which the player (patient) manages a town. The objective is to make the town progress, ensuring the steady inflow of resources and fostering the psychological resilience of its inhabitants. The game is based on the Cognitive Behavioral Therapy (CBT) framework and includes Positive Psychology (PP) techniques. These psychological techniques are woven into the game’s gameplay, feedback, economy system, quests, graphics, and story. Noteworthy is the integration of promoting Physical Activity, detected using the phone’s motion sensors, as part of gameplay. The game draws on the findings of a scoping review on smartphone-based serious games in mental health, and was informed by consultations with therapists as part of a user-centered design. Therapists and patients furthermore provided a qualitative and quantitative evaluation of a Minimum Viable Product (MVP) of the game. Their positive impressions indicate high acceptance and positive expectation regarding the use of the game as an
intervention. Lastly, a pilot randomized controlled trial protocol is outlined to assess its preliminary effectiveness-
of this therapy, this is a field that requires considerably more research to fully explore the benefits that smartphones have to offer. Specifically, serious games, designed with a purpose beyond entertainment, have emerged as a promising treatment tool, leveraging advance smartphone capabilities, aligning with psychological treatment principles, and enhancing user engagement.
This dissertation introduces “Horizon: Resilience”, a smartphone-based Serious Game for depressive symptoms. It is a city builder game with a decision making narrative, in which the player (patient) manages a town. The objective is to make the town progress, ensuring the steady inflow of resources and fostering the psychological resilience of its inhabitants. The game is based on the Cognitive Behavioral Therapy (CBT) framework and includes Positive Psychology (PP) techniques. These psychological techniques are woven into the game’s gameplay, feedback, economy system, quests, graphics, and story. Noteworthy is the integration of promoting Physical Activity, detected using the phone’s motion sensors, as part of gameplay. The game draws on the findings of a scoping review on smartphone-based serious games in mental health, and was informed by consultations with therapists as part of a user-centered design. Therapists and patients furthermore provided a qualitative and quantitative evaluation of a Minimum Viable Product (MVP) of the game. Their positive impressions indicate high acceptance and positive expectation regarding the use of the game as an
intervention. Lastly, a pilot randomized controlled trial protocol is outlined to assess its preliminary effectiveness-
González-Pérez, Alberto
Applying Mobile and Geospatial Technologies to Ecological Momentary Interventions PhD Thesis
Universitat Jaume I. INIT, 2023.
Abstract | Links | BibTeX | Tags: cognitive-behavioural therapy, exposure therapy, Mobile apps, mobile computing, symptoms
@phdthesis{Gonzalez-Perez2023b,
title = {Applying Mobile and Geospatial Technologies to Ecological Momentary Interventions},
author = {Alberto González-Pérez},
doi = {http://dx.doi.org/10.6035/14101.2023.533823},
year = {2023},
date = {2023-09-07},
school = {Universitat Jaume I. INIT},
abstract = {Today a large percentage of the population suffers from anxiety-related problems. This anxiety can appear in day-to-day situations. An effective therapy for these problems is exposure. In it, the person is gradually exposed to what he fears. However, these therapy sessions are long and force the patient and therapist to travel to a specific place. Here, the use of a mobile application that guides the patient during the exposure sessions can be beneficial. Until now, this application did not exist, due to the complexity of its implementation. In this doctoral thesis, the necessary tools have been implemented to facilitate the implementation of this type of solution. In addition, in collaboration with psychology professionals, a mobile application has been implemented to self-guide exposure, which has been positively assessed by an external committee of experts.},
keywords = {cognitive-behavioural therapy, exposure therapy, Mobile apps, mobile computing, symptoms},
pubstate = {published},
tppubtype = {phdthesis}
}
Today a large percentage of the population suffers from anxiety-related problems. This anxiety can appear in day-to-day situations. An effective therapy for these problems is exposure. In it, the person is gradually exposed to what he fears. However, these therapy sessions are long and force the patient and therapist to travel to a specific place. Here, the use of a mobile application that guides the patient during the exposure sessions can be beneficial. Until now, this application did not exist, due to the complexity of its implementation. In this doctoral thesis, the necessary tools have been implemented to facilitate the implementation of this type of solution. In addition, in collaboration with psychology professionals, a mobile application has been implemented to self-guide exposure, which has been positively assessed by an external committee of experts.
2022
Matey-Sanz, Miguel; González-Pérez, Alberto; Casteleyn, Sven; Granell-Canut, Carlos
Instrumented Timed Up and Go Test Using Inertial Sensors from Consumer Wearable Devices Proceedings Article
In: Artificial Intelligence in Medicine. AIME 2022, pp. 144-154, Springer, Cham, 2022, ISBN: 978-3031093418.
Abstract | Links | BibTeX | Tags: machine learning, Mobile apps, mobile computing, symptoms, wearables
@inproceedings{Matey2022a,
title = {Instrumented Timed Up and Go Test Using Inertial Sensors from Consumer Wearable Devices},
author = {Miguel Matey-Sanz and Alberto González-Pérez and Sven Casteleyn and Carlos Granell-Canut},
doi = {https://doi.org/10.1007/978-3-031-09342-5_14},
isbn = {978-3031093418},
year = {2022},
date = {2022-07-09},
booktitle = {Artificial Intelligence in Medicine. AIME 2022},
volume = {13263},
pages = {144-154},
publisher = {Springer, Cham},
series = {Lectures Notes in Artificial Intelligence},
abstract = {Precision medicine pursues the ambitious goal of providing personalized interventions targeted at individual patients. Within this vision, digital health and mental health, where fine-grained monitoring of patients form the basis for so-called ecological momentary assessments and interventions, play a central role as complementary technology-based and data-driven instruments to traditional psychological treatments. Mobile devices are hereby key enablers: consumer smartphones and wearables are ubiquitously present and used in daily life, while they come with the necessary embedded physiological, inertial and movement sensors to potentially recognise user’s activities and behaviors. In this article, we explore whether real-time detection of fine-grained activities - relevant in the context of wellbeing - is feasible, applying machine learning techniques and based on sensor data collected from a consumer smartwatch device. We present the system architecture, whereby data collection is performed in the wearable device, real-time data processing and inference is delegated to the paired smartphone, and model training is performed offline. Finally, we demonstrate its use by instrumenting the well-known Timed Up and Go (TUG) test, typically used to assess the risk of fall in elderly people. Experiments show that consumer smartwatches can be used to automate the assessment of TUG tests and obtain satisfactory results, comparable with the classical manually performed version of the test.},
keywords = {machine learning, Mobile apps, mobile computing, symptoms, wearables},
pubstate = {published},
tppubtype = {inproceedings}
}
Precision medicine pursues the ambitious goal of providing personalized interventions targeted at individual patients. Within this vision, digital health and mental health, where fine-grained monitoring of patients form the basis for so-called ecological momentary assessments and interventions, play a central role as complementary technology-based and data-driven instruments to traditional psychological treatments. Mobile devices are hereby key enablers: consumer smartphones and wearables are ubiquitously present and used in daily life, while they come with the necessary embedded physiological, inertial and movement sensors to potentially recognise user’s activities and behaviors. In this article, we explore whether real-time detection of fine-grained activities - relevant in the context of wellbeing - is feasible, applying machine learning techniques and based on sensor data collected from a consumer smartwatch device. We present the system architecture, whereby data collection is performed in the wearable device, real-time data processing and inference is delegated to the paired smartphone, and model training is performed offline. Finally, we demonstrate its use by instrumenting the well-known Timed Up and Go (TUG) test, typically used to assess the risk of fall in elderly people. Experiments show that consumer smartwatches can be used to automate the assessment of TUG tests and obtain satisfactory results, comparable with the classical manually performed version of the test.
González-Pérez, Alberto; Matey-Sanz, Miguel; Granell-Canut, Carlos; Casteleyn, Sven
Using Mobile Devices as Scientific Measurements Instruments: Reliable Android Task Scheduling Journal Article
In: Pervasive and Mobile Computing, vol. 81, no. 101550, 2022, ISBN: 1574-1192.
Abstract | Links | BibTeX | Tags: Mobile apps, mobile computing, symptoms
@article{Gonzalez-Perez2022a,
title = {Using Mobile Devices as Scientific Measurements Instruments: Reliable Android Task Scheduling},
author = {Alberto González-Pérez and Miguel Matey-Sanz and Carlos Granell-Canut and Sven Casteleyn},
doi = {https://doi.org/10.1016/j.pmcj.2022.101550},
isbn = {1574-1192},
year = {2022},
date = {2022-02-01},
journal = {Pervasive and Mobile Computing},
volume = {81},
number = {101550},
abstract = {In various usage scenarios, smartphones are used as measuring instruments to systematically and unobtrusively collect data measurements (e.g., sensor data, user activity, phone usage data). Unfortunately, in the race towards extending battery life and improving privacy, mobile phone manufacturers are gradually restricting developers in (frequently) scheduling background (sensing) tasks and impede the exact scheduling of their execution time (i.e., Android’s “best effort” approach). This evolution hampers successful deployment of smartphones in sensing applications in scientific contexts, with unreliable and incomplete sampling rates frequently reported in literature. In this article, we discuss the ins and outs of Android’s background tasks scheduling mechanism, and formulate guidelines for developers to successfully implement reliable task scheduling. Implementing these guidelines, we present a software library, agnostic from the underlying Android scheduling mechanisms and restrictions, that allows Android developers to reliably schedule tasks with a maximum sampling rate of one minute. Our evaluation demonstrates the use and versatility of our task scheduler, and experimentally confirms its reliability and acceptable energy usage.},
keywords = {Mobile apps, mobile computing, symptoms},
pubstate = {published},
tppubtype = {article}
}
In various usage scenarios, smartphones are used as measuring instruments to systematically and unobtrusively collect data measurements (e.g., sensor data, user activity, phone usage data). Unfortunately, in the race towards extending battery life and improving privacy, mobile phone manufacturers are gradually restricting developers in (frequently) scheduling background (sensing) tasks and impede the exact scheduling of their execution time (i.e., Android’s “best effort” approach). This evolution hampers successful deployment of smartphones in sensing applications in scientific contexts, with unreliable and incomplete sampling rates frequently reported in literature. In this article, we discuss the ins and outs of Android’s background tasks scheduling mechanism, and formulate guidelines for developers to successfully implement reliable task scheduling. Implementing these guidelines, we present a software library, agnostic from the underlying Android scheduling mechanisms and restrictions, that allows Android developers to reliably schedule tasks with a maximum sampling rate of one minute. Our evaluation demonstrates the use and versatility of our task scheduler, and experimentally confirms its reliability and acceptable energy usage.
2020
Miralles-Tena, Ignacio; Granell-Canut, Carlos; Díaz-Sanahuja, Laura; Woensel, William Van; Bretón-López, Juana; Mira, Adriana; Castilla, Diana; Casteleyn, Sven
Smartphone apps for the treatment of mental disorders: a systematic review Journal Article
In: JMIR mHealth and uHealth, vol. 8, no. 3, pp. e14897, 2020, ISSN: 2291-5222, (IF).
Abstract | Links | BibTeX | Tags: Health applications, mental health, Mobile apps, symptoms
@article{Miralles-Tena2020b,
title = {Smartphone apps for the treatment of mental disorders: a systematic review},
author = {Ignacio Miralles-Tena and Carlos Granell-Canut and Laura Díaz-Sanahuja and William Van Woensel and Juana Bretón-López and Adriana Mira and Diana Castilla and Sven Casteleyn},
doi = {10.2196/14897},
issn = {2291-5222},
year = {2020},
date = {2020-03-04},
journal = {JMIR mHealth and uHealth},
volume = {8},
number = {3},
pages = {e14897},
abstract = {Background: Smartphone apps are an increasingly popular means for delivering psychological interventions to patients suffering from a mental disorder. In line with this popularity, there is a need to analyze and summarize the state of the art, both from a psychological and technical perspective.
Objective: This study aimed to systematically review the literature on the use of smartphones for psychological interventions. Our systematic review has the following objectives: (1) analyze the coverage of mental disorders in research articles per year; (2) study the types of assessment in research articles per mental disorder per year; (3) map the use of advanced technical features, such as sensors, and novel software features, such as personalization and social media, per mental disorder; (4) provide an overview of smartphone apps per mental disorder; and (5) provide an overview of the key characteristics of empirical assessments with rigorous designs (ie, randomized controlled trials [RCTs]).
Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for systematic reviews were followed. We performed searches in Scopus, Web of Science, American Psychological Association PsycNET, and Medical Literature Analysis and Retrieval System Online, covering a period of 6 years (2013-2018). We included papers that described the use of smartphone apps to deliver psychological interventions for known mental disorders. We formed multidisciplinary teams, comprising experts in psychology and computer science, to select and classify articles based on psychological and technical features.
Results: We found 158 articles that met the inclusion criteria. We observed an increasing interest in smartphone-based interventions over time. Most research targeted disorders with high prevalence, that is, depressive (31/158,19.6%) and anxiety disorders (18/158, 11.4%). Of the total, 72.7% (115/158) of the papers focused on six mental disorders: depression, anxiety, trauma and stressor-related, substance-related and addiction, schizophrenia spectrum, and other psychotic disorders, or a combination of disorders. More than half of known mental disorders were not or very scarcely (<3%) represented. An increasing number of studies were dedicated to assessing clinical effects, but RCTs were still a minority (25/158, 15.8%). From a technical viewpoint, interventions were leveraging the improved modalities (screen and sound) and interactivity of smartphones but only sparingly leveraged their truly novel capabilities, such as sensors, alternative delivery paradigms, and analytical methods.
Conclusions: There is a need for designing interventions for the full breadth of mental disorders, rather than primarily focusing on most prevalent disorders. We further contend that an increasingly systematic focus, that is, involving RCTs, is needed to improve the robustness and trustworthiness of assessments. Regarding technical aspects, we argue that further exploration and innovative use of the novel capabilities of smartphones are needed to fully realize their potential for the treatment of mental health disorders.},
note = {IF},
keywords = {Health applications, mental health, Mobile apps, symptoms},
pubstate = {published},
tppubtype = {article}
}
Background: Smartphone apps are an increasingly popular means for delivering psychological interventions to patients suffering from a mental disorder. In line with this popularity, there is a need to analyze and summarize the state of the art, both from a psychological and technical perspective.
Objective: This study aimed to systematically review the literature on the use of smartphones for psychological interventions. Our systematic review has the following objectives: (1) analyze the coverage of mental disorders in research articles per year; (2) study the types of assessment in research articles per mental disorder per year; (3) map the use of advanced technical features, such as sensors, and novel software features, such as personalization and social media, per mental disorder; (4) provide an overview of smartphone apps per mental disorder; and (5) provide an overview of the key characteristics of empirical assessments with rigorous designs (ie, randomized controlled trials [RCTs]).
Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for systematic reviews were followed. We performed searches in Scopus, Web of Science, American Psychological Association PsycNET, and Medical Literature Analysis and Retrieval System Online, covering a period of 6 years (2013-2018). We included papers that described the use of smartphone apps to deliver psychological interventions for known mental disorders. We formed multidisciplinary teams, comprising experts in psychology and computer science, to select and classify articles based on psychological and technical features.
Results: We found 158 articles that met the inclusion criteria. We observed an increasing interest in smartphone-based interventions over time. Most research targeted disorders with high prevalence, that is, depressive (31/158,19.6%) and anxiety disorders (18/158, 11.4%). Of the total, 72.7% (115/158) of the papers focused on six mental disorders: depression, anxiety, trauma and stressor-related, substance-related and addiction, schizophrenia spectrum, and other psychotic disorders, or a combination of disorders. More than half of known mental disorders were not or very scarcely (<3%) represented. An increasing number of studies were dedicated to assessing clinical effects, but RCTs were still a minority (25/158, 15.8%). From a technical viewpoint, interventions were leveraging the improved modalities (screen and sound) and interactivity of smartphones but only sparingly leveraged their truly novel capabilities, such as sensors, alternative delivery paradigms, and analytical methods.
Conclusions: There is a need for designing interventions for the full breadth of mental disorders, rather than primarily focusing on most prevalent disorders. We further contend that an increasingly systematic focus, that is, involving RCTs, is needed to improve the robustness and trustworthiness of assessments. Regarding technical aspects, we argue that further exploration and innovative use of the novel capabilities of smartphones are needed to fully realize their potential for the treatment of mental health disorders.
Objective: This study aimed to systematically review the literature on the use of smartphones for psychological interventions. Our systematic review has the following objectives: (1) analyze the coverage of mental disorders in research articles per year; (2) study the types of assessment in research articles per mental disorder per year; (3) map the use of advanced technical features, such as sensors, and novel software features, such as personalization and social media, per mental disorder; (4) provide an overview of smartphone apps per mental disorder; and (5) provide an overview of the key characteristics of empirical assessments with rigorous designs (ie, randomized controlled trials [RCTs]).
Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines for systematic reviews were followed. We performed searches in Scopus, Web of Science, American Psychological Association PsycNET, and Medical Literature Analysis and Retrieval System Online, covering a period of 6 years (2013-2018). We included papers that described the use of smartphone apps to deliver psychological interventions for known mental disorders. We formed multidisciplinary teams, comprising experts in psychology and computer science, to select and classify articles based on psychological and technical features.
Results: We found 158 articles that met the inclusion criteria. We observed an increasing interest in smartphone-based interventions over time. Most research targeted disorders with high prevalence, that is, depressive (31/158,19.6%) and anxiety disorders (18/158, 11.4%). Of the total, 72.7% (115/158) of the papers focused on six mental disorders: depression, anxiety, trauma and stressor-related, substance-related and addiction, schizophrenia spectrum, and other psychotic disorders, or a combination of disorders. More than half of known mental disorders were not or very scarcely (<3%) represented. An increasing number of studies were dedicated to assessing clinical effects, but RCTs were still a minority (25/158, 15.8%). From a technical viewpoint, interventions were leveraging the improved modalities (screen and sound) and interactivity of smartphones but only sparingly leveraged their truly novel capabilities, such as sensors, alternative delivery paradigms, and analytical methods.
Conclusions: There is a need for designing interventions for the full breadth of mental disorders, rather than primarily focusing on most prevalent disorders. We further contend that an increasingly systematic focus, that is, involving RCTs, is needed to improve the robustness and trustworthiness of assessments. Regarding technical aspects, we argue that further exploration and innovative use of the novel capabilities of smartphones are needed to fully realize their potential for the treatment of mental health disorders.
2019
Miralles-Tena, Ignacio
Analysis and development of a platfom for generating context-aware apps for mental health PhD Thesis
Universitat Jaume I. INIT,, 2019.
BibTeX | Tags: context-aware computing, mental health, Mobile apps, symptoms
@phdthesis{Miralles-Tena2019b,
title = {Analysis and development of a platfom for generating context-aware apps for mental health},
author = {Ignacio Miralles-Tena},
editor = {Carlos Granell-Canut and Joaquín Huerta-Guijarro (supervisors)},
year = {2019},
date = {2019-12-19},
address = { Castellón},
school = {Universitat Jaume I. INIT,},
keywords = {context-aware computing, mental health, Mobile apps, symptoms},
pubstate = {published},
tppubtype = {phdthesis}
}
Granell-Canut, Carlos; Miralles-Tena, Ignacio; González-Pérez, Alberto; Casteleyn, Sven
En: XI Congreso nacional y I Internacional de la Asociación española de Psicología clínica y Psicopatología: Psicopatología y tratamientos transdiagnósticos 24-26 Octubre 2019 Campus Universitario de Teruel (Universidad de Zaragoza), Servicio de publicaciones, Universidad de Zaragoza, Teruel, 2019, ISBN: 978-84-16723-84-3 .
Links | BibTeX | Tags: Health applications, mental health, Mobile apps, symptoms
@conference{Granell-Canut2019,
title = {Consideraciones en el desarrollo de aplicaciones móviles conscientes del contexto para el soporte a los tratamientos psicológicos},
author = {Carlos Granell-Canut and Ignacio Miralles-Tena and Alberto González-Pérez and Sven Casteleyn},
doi = {10.26754/uz.978-84-16723-84-3 },
isbn = {978-84-16723-84-3 },
year = {2019},
date = {2019-10-24},
booktitle = {En: XI Congreso nacional y I Internacional de la Asociación española de Psicología clínica y Psicopatología: Psicopatología y tratamientos transdiagnósticos 24-26 Octubre 2019 Campus Universitario de Teruel (Universidad de Zaragoza)},
pages = {28},
publisher = {Servicio de publicaciones, Universidad de Zaragoza},
address = {Teruel},
keywords = {Health applications, mental health, Mobile apps, symptoms},
pubstate = {published},
tppubtype = {conference}
}
González-Pérez, Alberto; Miralles-Tena, Ignacio; Granell-Canut, Carlos; Casteleyn, Sven
Challenges to Deliver Sensor-based Psychological Interventions using Smartphones Proceedings Article
In: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2019 International Symposium on Wearable Computers , pp. 915-920, ACM, New York, 2019, ISBN: 978-1-4503-6869-8.
Links | BibTeX | Tags: FPU_Miralles, FPU-González, mental health, Mobile apps, RyC-Casteleyn, RyC-Granell, symptoms
@inproceedings{González-Pérez2019,
title = {Challenges to Deliver Sensor-based Psychological Interventions using Smartphones},
author = {Alberto González-Pérez and Ignacio Miralles-Tena and Carlos Granell-Canut and Sven Casteleyn},
doi = {10.1145/1122445.1122456},
isbn = {978-1-4503-6869-8},
year = {2019},
date = {2019-09-10},
booktitle = {Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2019 International Symposium on Wearable Computers },
pages = {915-920},
publisher = {ACM},
address = {New York},
keywords = {FPU_Miralles, FPU-González, mental health, Mobile apps, RyC-Casteleyn, RyC-Granell, symptoms},
pubstate = {published},
tppubtype = {inproceedings}
}
Miralles-Tena, Ignacio; Granell-Canut, Carlos
Considerations for designing context-aware mobile apps for mental health interventions Journal Article
In: International journal of environmental research and public health, vol. 6, no. 7, pp. 1197, 2019, (IF).
Abstract | Links | BibTeX | Tags: context-aware computing, FPU_Miralles, Health applications, Mobile apps, RyC-Granell, symptoms
@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}
}
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.
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.
Karampanah, Sadegh
A survey of usability issues in mobile map-based systems Masters Thesis
Universidade Nova De Lisboa, Lisboa, 2019.
BibTeX | Tags: Mastergeotech, Mobile apps
@mastersthesis{UNL2019,
title = {A survey of usability issues in mobile map-based systems},
author = {Sadegh Karampanah },
editor = {Christian Kray and Morin Ostkamp and Sven Casteleyn (supervisors)},
year = {2019},
date = {2019-02-05},
address = {Lisboa},
school = {Universidade Nova De Lisboa},
keywords = {Mastergeotech, Mobile apps},
pubstate = {published},
tppubtype = {mastersthesis}
}
2018
Iskandaryan, Ditsuhi
A mobile geospatial application to battle psychological disorders Masters Thesis
Departamento de Lenguajes y Sistemas Informáticos, Castellón, 2018.
BibTeX | Tags: Health applications, Mastergeotech, mental health, Mobile apps, symptoms
@mastersthesis{Iskandaryan2018,
title = {A mobile geospatial application to battle psychological disorders},
author = {Ditsuhi Iskandaryan},
editor = {Sven Casteleyn and Carlos Granell-Canut and Roberto Henriques (supervisors)},
year = {2018},
date = {2018-03-02},
address = {Castellón},
school = {Departamento de Lenguajes y Sistemas Informáticos},
keywords = {Health applications, Mastergeotech, mental health, Mobile apps, symptoms},
pubstate = {published},
tppubtype = {mastersthesis}
}
Gómez-Cambronero, Águeda
Aplicación móvil para el aprendizaje de idiomas basado en la localización del usuario Masters Thesis
INIT, Castellón, 2018.
BibTeX | Tags: Mobile apps
@mastersthesis{Gómez-Cambronero2018b,
title = {Aplicación móvil para el aprendizaje de idiomas basado en la localización del usuario},
author = {Águeda Gómez-Cambronero},
editor = {Joaquín Huerta-Guijarro and Sven Casteleyn (supervisors) },
year = {2018},
date = {2018-02-27},
address = {Castellón},
school = {INIT},
keywords = {Mobile apps},
pubstate = {published},
tppubtype = {mastersthesis}
}
Gómez-Cambronero, Águeda
Aprendizaje de idiomas a través de dispositivos móviles: Un estudio sistemático de los últimos cinco años Masters Thesis
INIT, Castellón, 2018.
BibTeX | Tags: Mobile apps
@mastersthesis{Gómez-Cambronero2018c,
title = {Aprendizaje de idiomas a través de dispositivos móviles: Un estudio sistemático de los últimos cinco años},
author = {Águeda Gómez-Cambronero},
editor = {Joaquín Huerta-Guijarro and Sven Casteleyn (supervisors) },
year = {2018},
date = {2018-02-27},
address = {Castellón},
school = {INIT},
keywords = {Mobile apps},
pubstate = {published},
tppubtype = {mastersthesis}
}
2017
Corzo, David Pardo
Investigating applied navigation services on mobile technologies for the current challenges of university campuses Masters Thesis
INIT, Castellón, 2017.
BibTeX | Tags: Mastergeotech, Mobile apps, Smart Campus
@mastersthesis{Corzo2017,
title = {Investigating applied navigation services on mobile technologies for the current challenges of university campuses},
author = {David Pardo Corzo},
editor = {Joaquín Huerta-Guijarro and Pedro Cabral (supervisors)},
year = {2017},
date = {2017-03-03},
address = {Castellón},
school = {INIT},
keywords = {Mastergeotech, Mobile apps, Smart Campus},
pubstate = {published},
tppubtype = {mastersthesis}
}
2016
Mendoza-Silva, Germán Martín; Rodríguez-Pupo, Luis Enrique; Torres-Sospedra, Joaquín; Huerta-Guijarro, Joaquín
Solutions for signal mapping campaigns of Wi-Fi networks Proceedings
JIIDE 2016 Barcelona (27-30/09/2016), 2016.
Abstract | Links | BibTeX | Tags: Citizen Science, Data Infrastructures, Mobile apps, Web, Wi-Fi, Wi-Fi mapping
@proceedings{mendozasolutions,
title = {Solutions for signal mapping campaigns of Wi-Fi networks},
author = {Germán Martín Mendoza-Silva and Luis Enrique Rodríguez-Pupo and Joaquín Torres-Sospedra and Joaquín Huerta-Guijarro},
url = {http://www.idee.es/resources/presentaciones/JIIDE16/2016/34_art_2_UJI_SolucionesMapeadoWiFi.pdf},
year = {2016},
date = {2016-09-27},
publisher = {JIIDE 2016 Barcelona (27-30/09/2016)},
abstract = {The boom of smart mobile devices with several types of sensors has enabled applications that engage people in collecting information about their surroundings so that they can contribute to citizen science projects. In this paper, we
address a set of software solutions that aim to enable the general public to participate in WiFi signal samples collection campaigns. We expect these solutions to be appealing for researchers working in WiFi-based indoor positioning due to the widespread presence of WiFi antennas, the popularity of smartphone able to connect to those antennas, and because it is usually required to create a WiFi fingerprint database, which is a very time-consuming activity. The solutions set addresses three step in the WiFi signal samples database creation process: The campaign planning, the WiFi signal collection and the database construction and sharing. By the end of the process, the research community is provided with sets of geo-located points whose attributes include the signal intensities of the detected WiFi access points. The solutions set that we described in this paper can be extended to include campaigns focused on measuring other physical phenomena by using other sensors found in mobile devices.
},
keywords = {Citizen Science, Data Infrastructures, Mobile apps, Web, Wi-Fi, Wi-Fi mapping},
pubstate = {published},
tppubtype = {proceedings}
}
The boom of smart mobile devices with several types of sensors has enabled applications that engage people in collecting information about their surroundings so that they can contribute to citizen science projects. In this paper, we
address a set of software solutions that aim to enable the general public to participate in WiFi signal samples collection campaigns. We expect these solutions to be appealing for researchers working in WiFi-based indoor positioning due to the widespread presence of WiFi antennas, the popularity of smartphone able to connect to those antennas, and because it is usually required to create a WiFi fingerprint database, which is a very time-consuming activity. The solutions set addresses three step in the WiFi signal samples database creation process: The campaign planning, the WiFi signal collection and the database construction and sharing. By the end of the process, the research community is provided with sets of geo-located points whose attributes include the signal intensities of the detected WiFi access points. The solutions set that we described in this paper can be extended to include campaigns focused on measuring other physical phenomena by using other sensors found in mobile devices.
address a set of software solutions that aim to enable the general public to participate in WiFi signal samples collection campaigns. We expect these solutions to be appealing for researchers working in WiFi-based indoor positioning due to the widespread presence of WiFi antennas, the popularity of smartphone able to connect to those antennas, and because it is usually required to create a WiFi fingerprint database, which is a very time-consuming activity. The solutions set addresses three step in the WiFi signal samples database creation process: The campaign planning, the WiFi signal collection and the database construction and sharing. By the end of the process, the research community is provided with sets of geo-located points whose attributes include the signal intensities of the detected WiFi access points. The solutions set that we described in this paper can be extended to include campaigns focused on measuring other physical phenomena by using other sensors found in mobile devices.
González-Pérez, Alberto; Casteleyn, Sven; Rodríguez-Pupo, Luis Enrique; Miralles-Tena, Ignacio; Granell-Canut, Carlos; Huerta-Guijarro, Joaquín
Mobile, expert-sourced data collection to enable sustainable agricultural practices and management Proceedings Article
In: Mobile Tartu 2016. 29-30 June 2016, 2016.
BibTeX | Tags: ERMES, Mobile apps, mobile GIS, rice cultivation
@inproceedings{anCastelyn2016,
title = {Mobile, expert-sourced data collection to enable sustainable agricultural practices and management},
author = {Alberto González-Pérez and Sven Casteleyn and Luis Enrique Rodríguez-Pupo and Ignacio Miralles-Tena and Carlos Granell-Canut and Joaquín Huerta-Guijarro},
year = {2016},
date = {2016-06-30},
booktitle = {Mobile Tartu 2016. 29-30 June 2016},
keywords = {ERMES, Mobile apps, mobile GIS, rice cultivation},
pubstate = {published},
tppubtype = {inproceedings}
}
Gould, Michael
Mobile apps for behavioural modification encouraging green living Proceedings Article
In: City Expo World Congress 2016, Barcelona, 2016.
BibTeX | Tags: GEO-C, Mobile apps
@inproceedings{Gould2016,
title = {Mobile apps for behavioural modification encouraging green living},
author = {Michael Gould},
year = {2016},
date = {2016-03-17},
booktitle = {City Expo World Congress 2016},
address = {Barcelona},
keywords = {GEO-C, Mobile apps},
pubstate = {published},
tppubtype = {inproceedings}
}
Andrés, Clara; Ramos-Romero, Francisco; Bresó, Edgar; Benedito, Irene; Soria, Eduardo
Emocionatest: an app for the assessment of emotional understanding for children with developmental disorders Proceedings Article
In: INTED2016 Proceedings: 10th International Technology, Education and Development Conference, 7-9 March 2016, Valencia, pp. 4776-4784, IATED academy, 2016.
Links | BibTeX | Tags: autism spectrum disorder (asd), children, emotional competence, Mobile apps
@inproceedings{Andres2016a,
title = {Emocionatest: an app for the assessment of emotional understanding for children with developmental disorders},
author = { Clara Andrés and Francisco Ramos-Romero and Edgar Bresó and Irene Benedito and Eduardo Soria},
doi = {10.21125/inted.2016.2180},
year = {2016},
date = {2016-01-01},
booktitle = {INTED2016 Proceedings: 10th International Technology, Education and Development Conference, 7-9 March 2016, Valencia},
pages = {4776-4784},
publisher = {IATED academy},
keywords = {autism spectrum disorder (asd), children, emotional competence, Mobile apps},
pubstate = {published},
tppubtype = {inproceedings}
}
2015
Andrés, Clara; Ramos-Romero, Francisco; Bresó, Edgar
Emotional competence assessment in children with ASD by using a mobile app Proceedings Article
In: Edulearn 2015 proceedings: 7th International Conference on Education and New Learning Technologies, pp. 6180-6187, Iated academy, Valencia, 2015.
Abstract | BibTeX | Tags: autism spectrum disorder (asd), children, Mobile apps
@inproceedings{Andres2015,
title = {Emotional competence assessment in children with ASD by using a mobile app},
author = { Clara Andrés and Francisco Ramos-Romero and Edgar Bresó},
year = {2015},
date = {2015-01-01},
booktitle = {Edulearn 2015 proceedings: 7th International Conference on Education and New Learning Technologies},
pages = {6180-6187},
publisher = {Iated academy},
address = {Valencia},
abstract = {Children who are diagnosed with Autism Spectrum Disorder (ASD), show serious difficulties in the area of ??emotional competence, compared to other neurodevelopmental disorders. This difficulty is exhibit not only identifying and expressing facial expressions, but also recognizing the internal and external causes of the emergence of an emotion. In everyday life, these difficulties prevent children to expand reciprocal social relationships of quality with their friends and peers during primary education period, and this situation gets worse during the High School period if the necessary intervention is not carried out. Several studies have attempted to assess the real emotional competence of these children. However, most of these studies have focused on the evaluation of partial or simple aspects of the emotional competence, or they are based on the opinion of parents/teachers, who are only able to see the child in a particular context. Therefore, there is a need to provide psychoeducational professionals with an effective and low cost tool to evaluate comprehensively this important area. The technological advancement of society has led to the generation of different tools coming from the field of Information Technology and Communication (ICT) to compensate the difficulties of children with ASD, because they are the best adapted to their processing information style. In addition, the ICT equipment in schools has increased exponentially as an indicator of quality and improvement in the teaching / learning processes. However, existing materials do not include the assessment of emotional competence in a comprehensive manner, and the software used is sometimes complex to difficult and install. In this sense, the use of mobile applications in the field of assessment and evaluation of people has recently been promoting in our society, as they include a powerful motivational component. Nevertheless, many of them are designed for commercial purposes and they lack of educational purposes. Therefore, there is a need to design a complete tool (provided of scientific and theoretical basis) that can be used by professionals to effectively assess emotional competence of children with ASD (and with other children who present emotional difficulties). For all these reasons, a mobile application for assessing emotional competence in a comprehensive way was developed, basing its structure on previous emotional development studies in typical and atypical population. So, this mobile application is addressed to assess children with suspected difficulties in emotional competence (e.g. with ASD), and it uses a funny method of assessment, including drawings and different levels of difficulty. Furthermore, it was validated and standardized in population without difficulties aged between 3 and 10 years-old. The mobile application is expected to be a motivating environment (for children), and an easy test to be downloaded and used (by professionals of psycho-educational sector). Also, it will be translated into different languages ??(Spanish, Catalan and English). Finally, this application will be shared with professionals and associations such as schools, school psycho-educational services, parent associations, and so forth.},
keywords = {autism spectrum disorder (asd), children, Mobile apps},
pubstate = {published},
tppubtype = {inproceedings}
}
Children who are diagnosed with Autism Spectrum Disorder (ASD), show serious difficulties in the area of ??emotional competence, compared to other neurodevelopmental disorders. This difficulty is exhibit not only identifying and expressing facial expressions, but also recognizing the internal and external causes of the emergence of an emotion. In everyday life, these difficulties prevent children to expand reciprocal social relationships of quality with their friends and peers during primary education period, and this situation gets worse during the High School period if the necessary intervention is not carried out. Several studies have attempted to assess the real emotional competence of these children. However, most of these studies have focused on the evaluation of partial or simple aspects of the emotional competence, or they are based on the opinion of parents/teachers, who are only able to see the child in a particular context. Therefore, there is a need to provide psychoeducational professionals with an effective and low cost tool to evaluate comprehensively this important area. The technological advancement of society has led to the generation of different tools coming from the field of Information Technology and Communication (ICT) to compensate the difficulties of children with ASD, because they are the best adapted to their processing information style. In addition, the ICT equipment in schools has increased exponentially as an indicator of quality and improvement in the teaching / learning processes. However, existing materials do not include the assessment of emotional competence in a comprehensive manner, and the software used is sometimes complex to difficult and install. In this sense, the use of mobile applications in the field of assessment and evaluation of people has recently been promoting in our society, as they include a powerful motivational component. Nevertheless, many of them are designed for commercial purposes and they lack of educational purposes. Therefore, there is a need to design a complete tool (provided of scientific and theoretical basis) that can be used by professionals to effectively assess emotional competence of children with ASD (and with other children who present emotional difficulties). For all these reasons, a mobile application for assessing emotional competence in a comprehensive way was developed, basing its structure on previous emotional development studies in typical and atypical population. So, this mobile application is addressed to assess children with suspected difficulties in emotional competence (e.g. with ASD), and it uses a funny method of assessment, including drawings and different levels of difficulty. Furthermore, it was validated and standardized in population without difficulties aged between 3 and 10 years-old. The mobile application is expected to be a motivating environment (for children), and an easy test to be downloaded and used (by professionals of psycho-educational sector). Also, it will be translated into different languages ??(Spanish, Catalan and English). Finally, this application will be shared with professionals and associations such as schools, school psycho-educational services, parent associations, and so forth.
2014
Tamayo-Fong, Alain; Granell-Canut, Carlos; Díaz-Sánchez, Laura; Huerta-Guijarro, Joaquín
Personalised code generation from large schema sets for geospatial mobile applications Journal Article
In: Computing, vol. 96, no. 5, pp. 355-379, 2014, ISSN: 0010-485X, (IF: 0.593, Q2).
Abstract | Links | BibTeX | Tags: geospatial data, Mobile apps, XML schema
@article{TamayoFong2014,
title = {Personalised code generation from large schema sets for geospatial mobile applications},
author = { Alain Tamayo-Fong and Carlos Granell-Canut and Laura Díaz-Sánchez and Joaquín Huerta-Guijarro},
url = {http://hdl.handle.net/10234/132926},
doi = {10.1007/s00607-013-0339-8},
issn = {0010-485X},
year = {2014},
date = {2014-01-01},
journal = {Computing},
volume = {96},
number = {5},
pages = {355-379},
abstract = {XML and XMLS chema are used in the geospatial domain for the definition of standards that enhance the interoperability between producers and consumers of spatial data. The size and complexity of these geospatial standards and their associated schemas have been growing with time reaching levels of complexity that make it difficult to build systems based on them in a timely and cost-effective manner. The problem of producing XML processing code based on large schemas has been traditionally solved by using XML data binding generators. Unfortunately, this solution is not always effective when code is generated for resource-constrained devices, such as mobile phones. Large and complex schemas often result in the production of code with a large size and a complicated structure that might not fit the device limitations. In this article we present the instance-based XML data binding approach to produce more compact application-specific XML processing code for geospatial applications targeted to mobile devices. The approach tries to reduce the size and complexity of the generated code by using information about how schemas are used by individual applications. Our experimental results suggest a significant simplification of XML Schema sets to the real needs of client applications accompanied by a substantial reduction of size of the generated code},
note = {IF: 0.593, Q2},
keywords = {geospatial data, Mobile apps, XML schema},
pubstate = {published},
tppubtype = {article}
}
XML and XMLS chema are used in the geospatial domain for the definition of standards that enhance the interoperability between producers and consumers of spatial data. The size and complexity of these geospatial standards and their associated schemas have been growing with time reaching levels of complexity that make it difficult to build systems based on them in a timely and cost-effective manner. The problem of producing XML processing code based on large schemas has been traditionally solved by using XML data binding generators. Unfortunately, this solution is not always effective when code is generated for resource-constrained devices, such as mobile phones. Large and complex schemas often result in the production of code with a large size and a complicated structure that might not fit the device limitations. In this article we present the instance-based XML data binding approach to produce more compact application-specific XML processing code for geospatial applications targeted to mobile devices. The approach tries to reduce the size and complexity of the generated code by using information about how schemas are used by individual applications. Our experimental results suggest a significant simplification of XML Schema sets to the real needs of client applications accompanied by a substantial reduction of size of the generated code
2013
Gargallo-Tarín, Diego
UJI's Smart Campus: Place Finder App Masters Thesis
Universitat Jaume I, 2013.
BibTeX | Tags: Mobile apps, Smart Campus, SMARTUJI
@mastersthesis{GargalloTarin2013,
title = {UJI's Smart Campus: Place Finder App},
author = { Diego Gargallo-Tarín},
editor = {Óscar Belmonte-Fernández (supervisor) and Roberto Henriques (co-supervisor) and Joaquín Huerta-Guijarro (co-supervisor)},
year = {2013},
date = {2013-03-01},
school = {Universitat Jaume I},
keywords = {Mobile apps, Smart Campus, SMARTUJI},
pubstate = {published},
tppubtype = {mastersthesis}
}
2012
García-Martí, Irene; Rodríguez-Pupo, Luis Enrique; Benedito-Bordonau, Mauricia; Trilles-Oliver, Sergio; Beltrán-Fonollosa, Arturo; Díaz-Sánchez, Laura; Huerta-Guijarro, Joaquín
Aplicación móvil para la monitorización de la contaminación acústica en entornos urbanos a través de técnicas de Gamification Proceedings Article
In: JIIDE 2012: III Jornadas Ibéricas de Infraestructuras de Datos Espaciales. Madrid, Octubre 2012, 2012.
Abstract | Links | BibTeX | Tags: citizen participation, Gamification, Mobile apps, noise pollution, Participatory GIS, VGI
@inproceedings{GarciaMarti2012a,
title = {Aplicación móvil para la monitorización de la contaminación acústica en entornos urbanos a través de técnicas de Gamification},
author = {Irene García-Martí and Luis Enrique Rodríguez-Pupo and Mauricia Benedito-Bordonau and Sergio Trilles-Oliver and Arturo Beltrán-Fonollosa and Laura Díaz-Sánchez and Joaquín Huerta-Guijarro},
url = {http://www.02.idee.es/resources/presentaciones/JIIDE12/jueves/G49.Artuculo.pdf},
year = {2012},
date = {2012-01-01},
booktitle = {JIIDE 2012: III Jornadas Ibéricas de Infraestructuras de Datos Espaciales. Madrid, Octubre 2012},
abstract = {La cobertura completa de datos en entornos urbanos es crucial para monitorizar el estado del área de estudio y detectar, por ejemplo, tendencias y cambios medioambientales. Recoger observaciones de factores ambientales, como la contaminación acústica, a través de aproximaciones clásicas implica el despliegue de Redes de Sensores, cuyo coste de implantación y mantenimiento, podría ser muy alto para las administraciones locales y regionales. Por otro lado, los dispositivos móviles como los smartphones incorporan numerosos sensores, por lo que, por ejemplo, pueden tomar muestras de ruido ambiental a través de su micrófono. De esta forma, cada smartphone se convierte en un dispositivo de medición de ruido ambiental que cualquier ciudadano puede llevar en su bolsillo. En este artículo presentamos una aproximación para recoger ruido ambiental a través de aplicaciones móviles. Esta aplicación móvil se ha diseñado siguiendo técnicas de Gamification para animar al usuario a participar utilizando sus propios smartphones personales. De esta forma, se involucra al usuario en la toma y la difusión de mediciones de ruido en sus ciudades que posteriormente, otras partes interesadas pueden usar en su análisis y sus procesos de toma de decisiones.},
keywords = {citizen participation, Gamification, Mobile apps, noise pollution, Participatory GIS, VGI},
pubstate = {published},
tppubtype = {inproceedings}
}
La cobertura completa de datos en entornos urbanos es crucial para monitorizar el estado del área de estudio y detectar, por ejemplo, tendencias y cambios medioambientales. Recoger observaciones de factores ambientales, como la contaminación acústica, a través de aproximaciones clásicas implica el despliegue de Redes de Sensores, cuyo coste de implantación y mantenimiento, podría ser muy alto para las administraciones locales y regionales. Por otro lado, los dispositivos móviles como los smartphones incorporan numerosos sensores, por lo que, por ejemplo, pueden tomar muestras de ruido ambiental a través de su micrófono. De esta forma, cada smartphone se convierte en un dispositivo de medición de ruido ambiental que cualquier ciudadano puede llevar en su bolsillo. En este artículo presentamos una aproximación para recoger ruido ambiental a través de aplicaciones móviles. Esta aplicación móvil se ha diseñado siguiendo técnicas de Gamification para animar al usuario a participar utilizando sus propios smartphones personales. De esta forma, se involucra al usuario en la toma y la difusión de mediciones de ruido en sus ciudades que posteriormente, otras partes interesadas pueden usar en su análisis y sus procesos de toma de decisiones.
García-Martí, Irene; Rodríguez-Pupo, Luis Enrique; Benedito-Bordonau, Mauricia; Trilles-Oliver, Sergio; Beltrán-Fonollosa, Arturo; Díaz-Sánchez, Laura; Huerta-Guijarro, Joaquín
Mobile Application for Noise Pollution Monitoring through Gamification Techniques Proceedings Article
In: Herrlich, M.; Malaka, R.; Masuch, M. (Ed.): ICEC 2012 entertainment computing, pp. 562-571, Springer, 2012, ISSN: 0302-9743.
Abstract | Links | BibTeX | Tags: Gamification, Mobile apps, noise pollution
@inproceedings{GarciaMarti2012,
title = {Mobile Application for Noise Pollution Monitoring through Gamification Techniques},
author = {Irene García-Martí and Luis Enrique Rodríguez-Pupo and Mauricia Benedito-Bordonau and Sergio Trilles-Oliver and Arturo Beltrán-Fonollosa and Laura Díaz-Sánchez and Joaquín Huerta-Guijarro},
editor = {M. Herrlich and R. Malaka and M. Masuch},
url = {http://link.springer.com/10.1007/978-3-642-33542-6_74},
doi = {10.1007/978-3-642-33542-6_74},
issn = {0302-9743},
year = {2012},
date = {2012-01-01},
booktitle = {ICEC 2012 entertainment computing},
pages = {562-571},
publisher = {Springer},
abstract = {Full data coverage of urban environments is crucial to monitor the status of the area to detect, for instance, trends and detrimental environmental changes. Collecting observations related to environmental factors such as noise pollution in urban environments through classical approaches implies the deployment of Sensor Networks. The cost of deployment and maintenance of such infrastructure might be relatively high for local and regional governments. On the other hand recent mass-market mobile devices such as smartphones are full of sensors. For instance, it is possible to perform measurements of noise through its microphone. Therefore they become low-cost measuring devices that many citizens have in their pocket. In this paper we present an approach for gathering noise pollution data by using mobile applications. The applications are designed following gamification techniques to encourage users to participate using their personal smartphones. In this way the users are involved in taking and sharing noise pollution measurements in their cities that other stakeholders can use in their analysis and decision making processes},
keywords = {Gamification, Mobile apps, noise pollution},
pubstate = {published},
tppubtype = {inproceedings}
}
Full data coverage of urban environments is crucial to monitor the status of the area to detect, for instance, trends and detrimental environmental changes. Collecting observations related to environmental factors such as noise pollution in urban environments through classical approaches implies the deployment of Sensor Networks. The cost of deployment and maintenance of such infrastructure might be relatively high for local and regional governments. On the other hand recent mass-market mobile devices such as smartphones are full of sensors. For instance, it is possible to perform measurements of noise through its microphone. Therefore they become low-cost measuring devices that many citizens have in their pocket. In this paper we present an approach for gathering noise pollution data by using mobile applications. The applications are designed following gamification techniques to encourage users to participate using their personal smartphones. In this way the users are involved in taking and sharing noise pollution measurements in their cities that other stakeholders can use in their analysis and decision making processes