2022 |
Díaz-Sanahuja, Laura; Miralles, Ignacio; Granell-Canut, Carlos; Mira, Adriana; González-Pérez, Alberto; Casteleyn, Sven; García-Palacios, Azucena; Bretón-López, Juana Client’s Experiences Using a Location-Based Technology ICT System during Gambling Treatments’ Crucial Components: A Qualitative Study Journal Article International Journal of Environmental Research and Public Health, 19 (7), pp. 3769, 2022, ISSN: 1660-4601. Abstract | Links | BibTeX | Tags: gambling, geolocation, mental health, symptoms @article{diazsanchez2022a, title = {Client’s Experiences Using a Location-Based Technology ICT System during Gambling Treatments’ Crucial Components: A Qualitative Study}, author = {Laura Díaz-Sanahuja and Ignacio Miralles and Carlos Granell-Canut and Adriana Mira and Alberto González-Pérez and Sven Casteleyn and Azucena García-Palacios and Juana Bretón-López }, doi = {https://doi.org/10.3390/ijerph19073769}, issn = {1660-4601}, year = {2022}, date = {2022-03-22}, journal = {International Journal of Environmental Research and Public Health}, volume = {19}, number = {7}, pages = {3769}, abstract = {Cognitive Behavioral Therapy is the treatment of choice for Gambling Disorder (GD), with stimulus control (SC) and exposure with response prevention (ERP) being its two core components. Despite their efficacy, SC and ERP are not easy to deliver, so it is important to explore new ways to enhance patient compliance regarding SC and ERP. The aim of this study is to describe and assess the opinion of two patients diagnosed with problem gambling and GD that used the Symptoms app, a location-based ICT system, during SC and ERP. A consensual qualitative research study was conducted. We used a semi-structured interview, developed ad-hoc based on the Expectation and Satisfaction Scale and System Usability Scale. A total of 20 categories were identified within six domains: usefulness, improvements, recommendation to other people, safety, usability, and opinion regarding the use of the app after completing the intervention. The patients considered the app to be useful during the SC and ERP components and emphasized that feeling observed and supported at any given time helped them avoid lapses. This work can offer a starting point that opens up new research paths regarding psychological interventions for gambling disorder, such as assessing whether location-based ICT tools enhance commitment rates.}, keywords = {gambling, geolocation, mental health, symptoms}, pubstate = {published}, tppubtype = {article} } Cognitive Behavioral Therapy is the treatment of choice for Gambling Disorder (GD), with stimulus control (SC) and exposure with response prevention (ERP) being its two core components. Despite their efficacy, SC and ERP are not easy to deliver, so it is important to explore new ways to enhance patient compliance regarding SC and ERP. The aim of this study is to describe and assess the opinion of two patients diagnosed with problem gambling and GD that used the Symptoms app, a location-based ICT system, during SC and ERP. A consensual qualitative research study was conducted. We used a semi-structured interview, developed ad-hoc based on the Expectation and Satisfaction Scale and System Usability Scale. A total of 20 categories were identified within six domains: usefulness, improvements, recommendation to other people, safety, usability, and opinion regarding the use of the app after completing the intervention. The patients considered the app to be useful during the SC and ERP components and emphasized that feeling observed and supported at any given time helped them avoid lapses. This work can offer a starting point that opens up new research paths regarding psychological interventions for gambling disorder, such as assessing whether location-based ICT tools enhance commitment rates. |
2021 |
Rodríguez-Pupo, Luis Enrique An Analytics Platform for Integrating and Computing Spatio-Temporal Metrics in Location-aware Games PhD Thesis Universitat Jaume I. INIT, 2021. Abstract | Links | BibTeX | Tags: context-aware computing, geogames, geolocation, location-based services @phdthesis{Rodriguez2021b, title = {An Analytics Platform for Integrating and Computing Spatio-Temporal Metrics in Location-aware Games}, author = {Luis Enrique Rodríguez-Pupo}, url = {http://hdl.handle.net/10803/671588}, doi = {http://dx.doi.org/10.6035/14101.2021.357562}, year = {2021}, date = {2021-04-28}, school = {Universitat Jaume I. INIT}, abstract = {This thesis presents an analytics platform for calculating spatio-temporal metrics in the context of geogames and context-based applications. It is based on an underlying conceptual model for spatio-temporal metrics, which consists of dimensions and variables to describe spatial and temporal phenomena, metrics functions to calculate application-relevant information and conditions using these data models, and actions to be triggered when certain conditions are met. The analytics platform is implemented as a cloud-based, distributed application that allows developers to define data requirements, collect required (client-generated) data, and define and execute spatio-temporal metrics. It is designed to handle large amounts of (streaming) data and to scale well under increasing amounts of data and metrics computations. The platform is validated in two experiments: a location-aware game for collecting noise data in a city and a mobile application for location-based mental health treatments, which shows its usability, versatility and feasibility in real-world scenario}, keywords = {context-aware computing, geogames, geolocation, location-based services}, pubstate = {published}, tppubtype = {phdthesis} } This thesis presents an analytics platform for calculating spatio-temporal metrics in the context of geogames and context-based applications. It is based on an underlying conceptual model for spatio-temporal metrics, which consists of dimensions and variables to describe spatial and temporal phenomena, metrics functions to calculate application-relevant information and conditions using these data models, and actions to be triggered when certain conditions are met. The analytics platform is implemented as a cloud-based, distributed application that allows developers to define data requirements, collect required (client-generated) data, and define and execute spatio-temporal metrics. It is designed to handle large amounts of (streaming) data and to scale well under increasing amounts of data and metrics computations. The platform is validated in two experiments: a location-aware game for collecting noise data in a city and a mobile application for location-based mental health treatments, which shows its usability, versatility and feasibility in real-world scenario |
2020 |
Alema, Senait Meles Using location-based services to improve mental health interventions Masters Thesis INIT, UJI, 2020. Abstract | Links | BibTeX | Tags: geolocation, Mastergeotech, mental health @mastersthesis{Alema2020, title = {Using location-based services to improve mental health interventions }, author = {Senait Meles Alema}, editor = {Sven Casteleyn and Carlos Granell-Canut and Roberto Henriques (Supervisors)}, url = {http://hdl.handle.net/10362/95143 }, year = {2020}, date = {2020-03-05}, address = {Castellón}, school = {INIT, UJI}, abstract = {The rapid developments in the functionalities of smartphones and technological innovations play a vital role in providing location-based services in healthcare. A mental health sensor-based software platform has been developed by the Geospatial Technologies research group (Geotec), consisting of an application generation framework that offers basic geospatial building blocks (location tracking, trajectory recording, geo-fencing), communication building blocks (notifications) and a basic visualization of collected data for therapists. The framework has been successfully tested for building an application to treat agoraphobia, addiction, and depression, using location-based notifications. However, defining the places of interest for a patient is addressed to a limited extent only. Thus, therapists have difficulties of identifying and defining multiple places of interest, and the generated apps were therefore mostly limited to single places of interest, which were manually defined. Hence, they are difficult to use in larger areas. This thesis aims to use a location-based service to support therapists in defining places of interest, based on location and place categories. The work is carried out as an extension of the SYMPTOMS platform, and it allows therapists to define multiple places of interest automatically and for larger areas. The added value of the approach (in terms of automation, ease of use, and universally usable of therapies) by the location-based services in improving mental health interventions is evaluated. As a result, the application was found to be usable with SUS score of 91.875 and useful for therapists to define multiple places of interest at the same time which simplifies the configuration process and makes therapies universally usable. Reproducibility self-assessment (https://osf.io/j97zp/): 2, 2, 1, 2, 2 (input data, pre-processing, methods, computational environment, results).}, keywords = {geolocation, Mastergeotech, mental health}, pubstate = {published}, tppubtype = {mastersthesis} } The rapid developments in the functionalities of smartphones and technological innovations play a vital role in providing location-based services in healthcare. A mental health sensor-based software platform has been developed by the Geospatial Technologies research group (Geotec), consisting of an application generation framework that offers basic geospatial building blocks (location tracking, trajectory recording, geo-fencing), communication building blocks (notifications) and a basic visualization of collected data for therapists. The framework has been successfully tested for building an application to treat agoraphobia, addiction, and depression, using location-based notifications. However, defining the places of interest for a patient is addressed to a limited extent only. Thus, therapists have difficulties of identifying and defining multiple places of interest, and the generated apps were therefore mostly limited to single places of interest, which were manually defined. Hence, they are difficult to use in larger areas. This thesis aims to use a location-based service to support therapists in defining places of interest, based on location and place categories. The work is carried out as an extension of the SYMPTOMS platform, and it allows therapists to define multiple places of interest automatically and for larger areas. The added value of the approach (in terms of automation, ease of use, and universally usable of therapies) by the location-based services in improving mental health interventions is evaluated. As a result, the application was found to be usable with SUS score of 91.875 and useful for therapists to define multiple places of interest at the same time which simplifies the configuration process and makes therapies universally usable. Reproducibility self-assessment (https://osf.io/j97zp/): 2, 2, 1, 2, 2 (input data, pre-processing, methods, computational environment, results). |
Shubina, Victoriia; Holcer, Sylvia; Gould, Michael; Lohan, Elena Simona Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era Journal Article Data, 5 (4), pp. 87, 2020. Links | BibTeX | Tags: A-wear, geolocation, geoprivacy, mobi, Monitoring @article{Shubina2020, title = {Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era}, author = {Victoriia Shubina and Sylvia Holcer and Michael Gould and Elena Simona Lohan }, doi = {https://doi.org/10.3390/data5040087 }, year = {2020}, date = {2020-01-31}, journal = {Data}, volume = {5}, number = {4}, pages = {87}, keywords = {A-wear, geolocation, geoprivacy, mobi, Monitoring}, pubstate = {published}, tppubtype = {article} } |
2019 |
Santa, Fernando; Henriques, Roberto; Torres-Sospedra, Joaquín; Pebesma, Edzer A Statistical Approach for Studying the Spatio-Temporal Distribution of Geolocated Tweets in Urban Environments Journal Article Sustainability , 11 (3), pp. 595, 2019, (IF:). Abstract | Links | BibTeX | Tags: GEO-C, Geo-social media, geolocation @article{Santa2019, title = {A Statistical Approach for Studying the Spatio-Temporal Distribution of Geolocated Tweets in Urban Environments}, author = {Fernando Santa and Roberto Henriques and Joaquín Torres-Sospedra and Edzer Pebesma}, doi = {10.3390/su11030595}, year = {2019}, date = {2019-03-13}, journal = {Sustainability }, volume = {11}, number = {3}, pages = {595}, abstract = {An in-depth descriptive approach to the dynamics of the urban population is fundamental as a first step towards promoting effective planning and designing processes in cities. Understanding the behavioral aspects of human activities can contribute to their effective management and control. We present a framework, based on statistical methods, for studying the spatio-temporal distribution of geolocated tweets as a proxy for where and when people carry out their activities. We have evaluated our proposal by analyzing the distribution of collected geolocated tweets over a two-week period in the summer of 2017 in Lisbon, London, and Manhattan. Our proposal considers a negative binomial regression analysis for the time series of counts of tweets as a first step. We further estimate a functional principal component analysis of second-order summary statistics of the hourly spatial point patterns formed by the locations of the tweets. Finally, we find groups of hours with a similar spatial arrangement of places where humans develop their activities through hierarchical clustering over the principal scores. Social media events are found to show strong temporal trends such as seasonal variation due to the hour of the day and the day of the week in addition to autoregressive schemas. We have also identified spatio-temporal patterns of clustering, i.e., groups of hours of the day that present a similar spatial distribution of human activities.}, note = {IF:}, keywords = {GEO-C, Geo-social media, geolocation}, pubstate = {published}, tppubtype = {article} } An in-depth descriptive approach to the dynamics of the urban population is fundamental as a first step towards promoting effective planning and designing processes in cities. Understanding the behavioral aspects of human activities can contribute to their effective management and control. We present a framework, based on statistical methods, for studying the spatio-temporal distribution of geolocated tweets as a proxy for where and when people carry out their activities. We have evaluated our proposal by analyzing the distribution of collected geolocated tweets over a two-week period in the summer of 2017 in Lisbon, London, and Manhattan. Our proposal considers a negative binomial regression analysis for the time series of counts of tweets as a first step. We further estimate a functional principal component analysis of second-order summary statistics of the hourly spatial point patterns formed by the locations of the tweets. Finally, we find groups of hours with a similar spatial arrangement of places where humans develop their activities through hierarchical clustering over the principal scores. Social media events are found to show strong temporal trends such as seasonal variation due to the hour of the day and the day of the week in addition to autoregressive schemas. We have also identified spatio-temporal patterns of clustering, i.e., groups of hours of the day that present a similar spatial distribution of human activities. |
2017 |
Miralles-Tena, Ignacio; Granell-Canut, Carlos; Rodríguez-Pupo, Luis Enrique; Casteleyn, Sven; Huerta-Guijarro, Joaquín Games, health and the city: Developing location-aware games for leveraging the most suitable places for physical activity. Inproceedings Proceedings of the 23rd ACM Annual Symposium on Computer-Human Interaction in Play - Extended Abstracts (CHI PLAY 2017). Amsterdam, The Netherlands, Oct 2017. , pp. 239-245, ACM, 2017, ISBN: 978-1-4503-5111-9. BibTeX | Tags: FPU_Miralles, geogames, geolocation, Health applications, Physical activity, RyC-Casteleyn, RyC-Granell @inproceedings{Miralles-Tena2017, title = {Games, health and the city: Developing location-aware games for leveraging the most suitable places for physical activity.}, author = {Ignacio Miralles-Tena and Carlos Granell-Canut and Luis Enrique Rodríguez-Pupo and Sven Casteleyn and Joaquín Huerta-Guijarro }, isbn = {978-1-4503-5111-9}, year = {2017}, date = {2017-10-23}, booktitle = {Proceedings of the 23rd ACM Annual Symposium on Computer-Human Interaction in Play - Extended Abstracts (CHI PLAY 2017). Amsterdam, The Netherlands, Oct 2017. }, pages = {239-245}, publisher = {ACM}, keywords = {FPU_Miralles, geogames, geolocation, Health applications, Physical activity, RyC-Casteleyn, RyC-Granell}, pubstate = {published}, tppubtype = {inproceedings} } |
Rodríguez-Pupo, Luis Enrique; Casteleyn, Sven; Granell-Canut, Carlos On Metrics for Location-aware Games Journal Article ISPRS International Journal of Geo-Information, 6 (10), pp. 299, 2017, ISSN: 2220-9964. Abstract | Links | BibTeX | Tags: geogames, geolocation, RyC-Casteleyn, RyC-Granell, Software metrics @article{Rodríguez-Pupo2017, title = {On Metrics for Location-aware Games}, author = {Luis Enrique Rodríguez-Pupo and Sven Casteleyn and Carlos Granell-Canut}, doi = {10.3390/ijgi6100299 }, issn = {2220-9964}, year = {2017}, date = {2017-10-01}, journal = {ISPRS International Journal of Geo-Information}, volume = {6}, number = {10}, pages = {299}, abstract = {Metrics are important and well-known tools to measure users’ behavior in games, and gameplay in general. Particularities of location-aware games—a class of games where the player’s location plays a central role-demand specific support in metrics to adequately address the spatio-temporal features such games exhibit. In this article, we analyse and discuss how existing game analytics platforms address the spatio-temporal features of location-aware games. Our analysis reveals that little support is available. Next, based on the analysis, we propose a classification of spatial metrics, embedded in existing literature, and discuss three types of spatial metrics-point-, trajectory- and area-based metrics-, and elaborate examples and difficulties. Finally, we discuss how spatial metrics may be deployed to improve gameplay in location-aware games}, keywords = {geogames, geolocation, RyC-Casteleyn, RyC-Granell, Software metrics}, pubstate = {published}, tppubtype = {article} } Metrics are important and well-known tools to measure users’ behavior in games, and gameplay in general. Particularities of location-aware games—a class of games where the player’s location plays a central role-demand specific support in metrics to adequately address the spatio-temporal features such games exhibit. In this article, we analyse and discuss how existing game analytics platforms address the spatio-temporal features of location-aware games. Our analysis reveals that little support is available. Next, based on the analysis, we propose a classification of spatial metrics, embedded in existing literature, and discuss three types of spatial metrics-point-, trajectory- and area-based metrics-, and elaborate examples and difficulties. Finally, we discuss how spatial metrics may be deployed to improve gameplay in location-aware games |
2016 |
Ramos-Romero, Francisco; Huerta-Guijarro, Joaquín; Gómez, Aaron Picfeel: merging geolocation pictures and emotions Inproceedings AGILE 2016. Helsinki 14-17 June 2016, Helsinki, 2016. Abstract | Links | BibTeX | Tags: geocoding services, geolocation, mobile apps, sentiment analysis, STARTUJI-2015 @inproceedings{RamosRomero2016, title = {Picfeel: merging geolocation pictures and emotions}, author = { Francisco Ramos-Romero and Joaquín Huerta-Guijarro and Aaron Gómez}, url = {https://agile-online.org/Conference_Paper/cds/agile_2016/posters/186_Paper_in_PDF.pdf}, year = {2016}, date = {2016-01-01}, booktitle = {AGILE 2016. Helsinki 14-17 June 2016}, address = {Helsinki}, abstract = {Sentiment analysis enables us to identify and extract subjective information of certain resources. With this aim, it is often used language processing techniques, textual analysis or computational linguistics. However, this process is quite expensive in terms of computational cost and the results obtained so far are relatively difficult to obtain or understand or even impossible to detect such as irony in textual analysis. In this work, we aimed at obtaining this information directly from the users. Specifically, we created a mobile app that allows us to take a picture and select the emotion it causes to the user, and then we automatically located it, allowing us to create a worldmap of emotions.}, keywords = {geocoding services, geolocation, mobile apps, sentiment analysis, STARTUJI-2015}, pubstate = {published}, tppubtype = {inproceedings} } Sentiment analysis enables us to identify and extract subjective information of certain resources. With this aim, it is often used language processing techniques, textual analysis or computational linguistics. However, this process is quite expensive in terms of computational cost and the results obtained so far are relatively difficult to obtain or understand or even impossible to detect such as irony in textual analysis. In this work, we aimed at obtaining this information directly from the users. Specifically, we created a mobile app that allows us to take a picture and select the emotion it causes to the user, and then we automatically located it, allowing us to create a worldmap of emotions. |
2012 |
Buczowski, Aleksander Location-based Marketing: the academic framework Masters Thesis Universitat Jaume I, 2012. BibTeX | Tags: geolocation @mastersthesis{Buczowski2012, title = {Location-based Marketing: the academic framework}, author = { Aleksander Buczowski}, editor = {Miguel Neto (supervisor) and Michael Gould (co-supervisor) and Christian Kray (co-supervisor) }, year = {2012}, date = {2012-01-01}, school = {Universitat Jaume I}, keywords = {geolocation}, pubstate = {published}, tppubtype = {mastersthesis} } |
Sanchis-Huertas, Ana Providing energy efficiency location-based strategies for buildings using linked open data Masters Thesis Universitat Jaume I, 2012. BibTeX | Tags: geolocation, linked open data @mastersthesis{SanchisHuertas2012b, title = {Providing energy efficiency location-based strategies for buildings using linked open data}, author = {Ana Sanchis-Huertas}, editor = {Miguel Neto (supervisor) and Rafael Berlanga-Llavorí (co.supervisor) and Albert Remke (co-supervisor)}, year = {2012}, date = {2012-01-01}, school = {Universitat Jaume I}, keywords = {geolocation, linked open data}, pubstate = {published}, tppubtype = {mastersthesis} } |
IF Journal
Journal
Book
Book chapter
Congress
Thesis & M. Thesis
2022 |
Client’s Experiences Using a Location-Based Technology ICT System during Gambling Treatments’ Crucial Components: A Qualitative Study Journal Article International Journal of Environmental Research and Public Health, 19 (7), pp. 3769, 2022, ISSN: 1660-4601. |
2021 |
An Analytics Platform for Integrating and Computing Spatio-Temporal Metrics in Location-aware Games PhD Thesis Universitat Jaume I. INIT, 2021. |
2020 |
Using location-based services to improve mental health interventions Masters Thesis INIT, UJI, 2020. |
Survey of Decentralized Solutions with Mobile Devices for User Location Tracking, Proximity Detection, and Contact Tracing in the COVID-19 Era Journal Article Data, 5 (4), pp. 87, 2020. |
2019 |
A Statistical Approach for Studying the Spatio-Temporal Distribution of Geolocated Tweets in Urban Environments Journal Article Sustainability , 11 (3), pp. 595, 2019, (IF:). |
2017 |
Games, health and the city: Developing location-aware games for leveraging the most suitable places for physical activity. Inproceedings Proceedings of the 23rd ACM Annual Symposium on Computer-Human Interaction in Play - Extended Abstracts (CHI PLAY 2017). Amsterdam, The Netherlands, Oct 2017. , pp. 239-245, ACM, 2017, ISBN: 978-1-4503-5111-9. |
On Metrics for Location-aware Games Journal Article ISPRS International Journal of Geo-Information, 6 (10), pp. 299, 2017, ISSN: 2220-9964. |
2016 |
Picfeel: merging geolocation pictures and emotions Inproceedings AGILE 2016. Helsinki 14-17 June 2016, Helsinki, 2016. |
2012 |
Location-based Marketing: the academic framework Masters Thesis Universitat Jaume I, 2012. |
Providing energy efficiency location-based strategies for buildings using linked open data Masters Thesis Universitat Jaume I, 2012. |