[u' @inproceedings{gomez-carmona_employee_2024, address = {Osaka, Japan}, title = {Employee {Perceptions} of {Privacy} and {Data} {Control} in {Workplace} {Wellness} e- {Health} {Programs}}, copyright = {https://doi.org/10.15223/policy-029}, isbn = {9798350376968}, url = {https://ieeexplore.ieee.org/document/10633379/}, doi = {10.1109/COMPSAC61105.2024.00323}, abstract = {The adoption of IoT technology to improve wellness and health awareness in workplace environments is increasingly vital. However, the acceptance of such e-health interventions largely depends on employees\u2019 perceptions of their value versus the privacy and security risks associated with data usage. Hence, addressing these concerns is paramount for fostering trust and ensuring the successful integration of technology. For this reason, this work explores the critical role of privacy in the workplace and examines how concepts of data control and ownership can improve the acceptance and effectiveness of IoT solutions. Leveraging insights from an online questionnaire with 524 participants from European countries, the obtained \ufb01ndings contribute to the existing literature by expanding the understanding of data control in workplace contexts and providing valuable insights for designing IoT-mediated e-health interventions that effectively address employees\u2019 privacy concerns.}, language = {en}, urldate = {2024-08-29}, booktitle = {2024 {IEEE} 48th {Annual} {Computers}, {Software}, and {Applications} {Conference} ({COMPSAC})}, publisher = {IEEE}, author = {G\xf3mez-Carmona, Oihane and Casado-Mansilla, Diego and L\xf3pez-de-Ipi\xf1a, Diego and Garc\xeda-Zubia, Javier}, month = jul, year = {2024}, pages = {2020--2025}, } ']

[u' @inproceedings{puerta-beldarrain_human-ai_2023, address = {Cham}, title = {Human-{AI} {Collaboration} to {Promote} {Trust}, {Engagement} and {Adaptation} in the {Process} of {Pro}-environmental and {Health} {Behaviour} {Change}}, volume = {594}, isbn = {978-3-031-21332-8 978-3-031-21333-5}, url = {https://link.springer.com/10.1007/978-3-031-21333-5_38}, abstract = {A necessary step in the digitalization of our environments is to include the users in the decision loop, following a more human-centric paradigm. Such an aproach will make their interactions with surrounding technology closer to them. Therefore, there is a recurrent need in contemporary technological solutions to create proposals to assist users in a way that is not exclusive to them and makes them feel integrated into the intelligent system. In fact, this is particularly relevant when the proposed technology or system aims to nudge users to form, shape, or change their daily behaviours. In essence, solutions designed for assisting users in that matter need to consider the inclusion of humans in the learning/decision loop and still the literature in the field is scarce. In this work, we identify and address three crucial human requirements that this technology has to integrate to promote a comfortable and long-term use of technology for the effective assistance of behaviour change: trust, engagement, and adaptation. Besides, we propose a collaborative workflow based on hybrid intelligent systems to cover the lack of human requirements and needs of traditional approaches. In essence, this work aims to shed light on how to promote closer collaboration between humans and intelligent agents for behaviour change under the principle that people should not be treated as mere users of technologies and services, but their behaviour should become one of the critical levers for designing and using technologies. That is, creating a closer interaction between these technologies and people.}, language = {en}, urldate = {2022-11-28}, booktitle = {Proceedings of the {International} {Conference} on {Ubiquitous} {Computing} \\& {Ambient} {Intelligence} ({UCAmI} 2022)}, publisher = {Springer International Publishing}, author = {Puerta-Beldarrain, Maite and G\xf3mez-Carmona, Oihane and Casado-Mansilla, Diego and L\xf3pez-de-Ipi\xf1a, Diego}, year = {2023}, doi = {10.1007/978-3-031-21333-5_38}, note = {Series Title: Lecture Notes in Networks and Systems}, pages = {381--392}, } ']

[u' @article{gomez-carmona_mind_2023, title = {Mind the gap: {The} {AURORAL} ecosystem for the digital transformation of smart communities and rural areas}, volume = {74}, issn = {0160791X}, shorttitle = {Mind the gap}, url = {https://linkinghub.elsevier.com/retrieve/pii/S0160791X23001094}, doi = {10.1016/j.techsoc.2023.102304}, abstract = {Rural areas play a crucial role in addressing challenges related to climate change, food provision, biomass, and energy. At the same time, digital solutions have proven essential in improving safety, quality of life, and resil\xad ience in daily life. However, the lower population density and the lack of digital infrastructure in such rural areas make it difficult to develop technology-driven private businesses and public services. This can negatively impact socio-economic indicators and hinder the development of new services to cover peoples\u2019 needs. For this reason, in this document, we seek to provide a stronger focus on rural regions in digitalization efforts and create new opportunities for rural communities. For that, we analyze the barriers and needs of the rural environment and present AURORAL, a digital service platform designed to meet the needs and contexts of rural areas. This ecosystem, comprising sustainable and multi-interoperable apps and services, can help communities succeed in innovation and smart transformation, providing the necessary infrastructure to facilitate long-lasting social, environmental, and economic benefits by prioritizing openness, interoperability, and decentralization. On the principle that the full potential of these technologies can only be realized when they are integrated into societal and economic activity and organization, AURORAL aims to promote economic growth and digitalization in the rural domain and contribute to bridging the digital divide between rural and urban areas.}, language = {en}, urldate = {2023-07-12}, journal = {Technology in Society}, author = {G\xf3mez-Carmona, Oihane and Buj\xe1n-Carballal, David and Casado-Mansilla, Diego and L\xf3pez-de-Ipi\xf1a, Diego and Cano-Benito, Juan and Cimmino, Andrea and Poveda-Villal\xf3n, Mar\xeda and Garc\xeda-Castro, Ra\xfal and Almela-Miralles, Jorge and Apostolidis, Dimitris and Drosou, Anastasios and Tzovaras, Dimitrios and Wagner, Martin and Guadalupe-Rodriguez, Mar\xeda and Salinas, Diego and Esteller, David and Riera-Rovira, Mart\xed and Gonz\xe1lez, Arnau and Clavijo-\xc1greda, Jaime and D\xedez-Frias, Alberto and Bocanegra-Y\xe1\xf1ez, Mar\xeda Del Carmen and Pedro-Henriques, Rui and Ferreira-Nunes, Elsa and Lux, Marian and Bujalkova, Nikol}, month = aug, year = {2023}, keywords = {IF9.2, Internet of Things, Q1, Rural Areas, intelligent environments}, pages = {102304}, } ']

[u' @inproceedings{rodriguez-barbara_street_2022, address = {Limassol Cyprus}, title = {The {Street} as a {Reflective} {Space} to {Increase} {Citizen} {Awareness} of {Social} {Justice} in the {Fashion} {Industry}}, isbn = {978-1-4503-9284-6}, url = {https://dl.acm.org/doi/10.1145/3524458.3547249}, doi = {10.1145/3524458.3547249}, language = {en}, urldate = {2022-09-08}, booktitle = {Conference on {Information} {Technology} for {Social} {Good}}, publisher = {ACM}, author = {Rodr\xedguez-Barbar\xe1, Eduardo and G\xf3mez-Carmona, Oihane and Ferrer, Air\xed and G\xf3mez-Fortes, Braulio and Kados, Szilard A. and L\xf3pez-de-Ipi\xf1a, Diego and Casado-Mansilla, Diego}, month = sep, year = {2022}, keywords = {Fashion Revolution, Interaction Design, Interactive kiosk, Internet of Things}, pages = {276--282}, } ']

[u' @inproceedings{gomez-carmona_modulating_2022, address = {Cham}, title = {Modulating {Users}\u2019 {Involvement} in {Interactive} {Machine} {Learning} {Solutions}: {A} {Model} {Cascade} {Strategy}}, volume = {594}, isbn = {978-3-031-21332-8 978-3-031-21333-5}, shorttitle = {Modulating {Users}\u2019 {Involvement} in {Interactive} {Machine} {Learning} {Solutions}}, url = {https://link.springer.com/10.1007/978-3-031-21333-5_35}, doi = {10.1007/978-3-031-21333-5_35}, abstract = {Adapting intelligent systems to the end-user goals and their desire for involvement is essential when designing trustworthy interactive solutions. In intelligent environments, where sensitive information must be preserved, the challenge becomes two-fold: i) approaching the critical personal data to the user to promote privacy (i.e., Edge Computing); and ii) adaptatively modulating users\u2019 participation throughout the time. For this reason, this work proposes an interactive approach based on a cascade of Machine Learning models that makes optimized decisions related to classifying individual data and labelling it. For the evaluated use-case of a Human Activity Recognition system, the initial quantitative results of the proposed strategy show that an interactive cascade of simpler models can improve the non-interactive approach used as a benchmark and, at the same time, modulate the degree of participation of the user, measured as the number of times they would be inquired to provide a new label for newly obtained data. Thus, this paper provides insights into how this approach may be used in designing intelligent systems to adapt to the role of users in the personalization of intelligent models and how to build flexible experiences and learning systems where the user feels involved. All this while maintaining the privacy requirements that apply to Edge Intelligence and Edge Computing concepts.}, language = {en}, urldate = {2022-11-23}, booktitle = {Proceedings of the {International} {Conference} on {Ubiquitous} {Computing} \\& {Ambient} {Intelligence} ({UCAmI} 2022)}, publisher = {Springer International Publishing}, author = {G\xf3mez-Carmona, Oihane and Casado-Mansilla, Diego and L\xf3pez-de-Ipi\xf1a, Diego and Garc\xeda-Zubia, Javier}, year = {2022}, note = {Series Title: Lecture Notes in Networks and Systems}, keywords = {Embedded Machine Learning, Interactive Machine Learning, Internet of Things, Optimization}, pages = {345--356}, } ']

[u' @inproceedings{gomez-carmona_addressing_2022, address = {Split / Bol, Croatia}, title = {Addressing {Objective} and {Subjective} {Indicators} of {Comfort} in {Educational} {Environments}}, url = {https://ieeexplore.ieee.org/document/9854272/}, doi = {10.23919/SpliTech55088.2022.9854272}, abstract = {The environmental conditions that impact comfort in educational settings can affect the quality of teaching and the students\u2019 performance. Thus, reaching sustainable learning environments goes through addressing which conditions affect this comfort and how students perceive them. For this reason, this work aims to contribute to a better understanding of the socioenvironmental factors that drive comfort in educational environments and evaluating their objective and subjective perspectives of them. In this regard, a proof-of-concept of an intelligent system for comfort measurement in educational environments is presented. This multi-modal system consists of two parts: (i) an environmental condition monitoring device that tracks comfort-related conditions by means of sensors (i.e., noise level, temperature, humidity, air quality and luminosity) and (ii) a smart audiovisual system designed to monitor and analyze complementary comfort-related parameters (e.g., emotions or audio quality). Through this system, an experimental evaluation was conducted to collect several inputs from 140 students in two different faculties and obtain both subjective information (collecting answers from a survey) and objective data through the described environmental sensors in class. The conclusions derived from the obtained quantitative and qualitative data aim to contribute to the scientific knowledge and the enabling technologies required to define a new way to model, quantify, monitor, and holistically optimize comfort in physical environments for better educational performance and campus sustainability.}, language = {en}, urldate = {2022-09-08}, booktitle = {2022 7th {International} {Conference} on {Smart} and {Sustainable} {Technologies} ({SpliTech})}, publisher = {IEEE}, author = {Gomez-Carmona, Oihane and Navarro, Joan and Casado-Mansilla, Diego and Lopez-de-Ipina, Diego and Sole-Beteta, Xavier and Zaballos, Agustin}, month = jul, year = {2022}, keywords = {Environment, Intelligent Environments, Internet of People related technologies, Internet of Things}, pages = {1--6}, } ']

[u' @article{gomez-carmona_optimizing_2022, title = {Optimizing {Computational} {Resources} for {Edge} {Intelligence} {Through} {Model} {Cascade} {Strategies}}, volume = {9}, issn = {2327-4662, 2372-2541}, url = {https://ieeexplore.ieee.org/document/9564246/}, doi = {10.1109/JIOT.2021.3118845}, abstract = {As the number of interconnected devices increases and more arti\ufb01cial intelligence (AI) applications upon the Internet of Things (IoT) start to \ufb02ourish, so does the environmental cost of the computational resources needed to send and process all the generated data. Therefore, promoting the optimization of AI applications is a key factor for the sustainable development of IoT solutions. Paradigms such as Edge Computing are progressively proposed as a solution in the IoT \ufb01eld, becoming an alternative to delegate all the computation to the Cloud. However, bringing the computation to the local stage is limited by the resources\u2019 availability of the devices hosted at the Edge of the network. For this reason, this work presents an approach that simpli\ufb01es the complexity of supervised learning algorithms at the Edge. Speci\ufb01cally, it separates complex models into multiple simpler classi\ufb01ers forming a cascade of discriminative models. The suitability of this proposal in a human activity recognition (HAR) context is assessed by comparing the performance of three different variations of this strategy. Furthermore, its computational cost is analyzed in several resource-constrained Edge devices in terms of processing time. The experimental results show the viability of this approach to outperform other ensemble methods, i.e., the Stacking technique. Moreover, it substantially reduces the computational cost of the classi\ufb01cation tasks by more than 60\\% without a signi\ufb01cant accuracy loss (around 3.5\\%). This highlights the potential of this strategy to reduce resource and energy requirements in IoT architectures and promote more ef\ufb01cient and sustainable classi\ufb01cation solutions.}, language = {en}, number = {10}, urldate = {2022-07-20}, journal = {IEEE Internet of Things Journal}, author = {Gomez-Carmona, Oihane and Casado-Mansilla, Diego and Lopez-de-Ipina, Diego and Garcia-Zubia, Javier}, month = may, year = {2022}, keywords = {Edge Computing, IF9.471, Q1, embedded system}, pages = {7404--7417}, } ']

[u' @incollection{macarulla_marco_2022, series = {{BUENAS} {PR\xc1CTICAS} {DE} {INNOVACI\xd3N} {Y} {CALIDAD}}, title = {Marco {General} de {Aulas} {Universidad}-{Empresa}: {Cerrando} el {GAP} entre academia y empresa mediante el desarrollo de retos tecnol\xf3gicos.}, volume = {10}, abstract = {Esta iniciativa plantea el objetivo fundamental de establecer un marco general de relaci\xf3n estrecha y estable entre la Facultad y sus ecosistema de empresas/organizaciones colaboradoras, que aporta un grado superior de compromiso empresarial/organizacional en el desarrollo de la formaci\xf3n integral de nuestros estudiantes, y que a trav\xe9s de esta intensificaci\xf3n en aprendizaje basado en proyectos, learning-by-doing, redunda en la excelencia de la formaci\xf3n que reciben y en su integraci\xf3n m\xe1s plena en el tejido empresarial. Todo ello viene a aportar un grado m\xe1s de elevaci\xf3n al objetivo de la formaci\xf3n integral de la persona, de personas conscientes y comprometidas, y con sentido cr\xedtico de la realidad.}, language = {Spanish}, number = {10}, booktitle = {X {Jornada} {Universitaria} de {Innovaci\xf3n} y {Calidad}: {El} desarrollo de la formaci\xf3n integral del alumnado a trav\xe9s de la innovaci\xf3n docente}, author = {Macarulla, Ana and de la Calle, Alberto and Egu\xedluz, Andoni and Angulo, Ignacio and Pastor, Iker and Almeida, Aitor and G\xf3mez-Carmona, Oihane and Gav\xedria, J\xf3se and Sanjurjo-Gonz\xe1lez, Hugo and Garcia Bringas, Pablo and Santiba\xf1ez, Francisco Javier and Madariaga, Jose Antonio}, month = aug, year = {2022}, keywords = {education, educational approach, teaching innovation}, pages = {181--187}, } ']

[u' @article{benhamida_pyff_2021, title = {{PyFF}: {A} {Fog}-{Based} {Flexible} {Architecture} for {Enabling} {Privacy}-by-{Design} {IoT}-{Based} {Communal} {Smart} {Environments}}, volume = {21}, issn = {1424-8220}, shorttitle = {{PyFF}}, url = {https://www.mdpi.com/1424-8220/21/11/3640}, doi = {10.3390/s21113640}, abstract = {The advent of the Internet of Things (IoT) and the massive growth of devices connected to the Internet are reshaping modern societies. However, human lifestyles are not evolving at the same pace as technology, which often derives into users\u2019 reluctance and aversion. Although it is essential to consider user involvement/privacy while deploying IoT devices in a human-centric environment, current IoT architecture standards tend to neglect the degree of trust that humans require to adopt these technologies on a daily basis. In this regard, this paper proposes an architecture to enable privacy-by-design with human-in-the-loop IoT environments. In this regard, it \ufb01rst distills two IoT use-cases with high human interaction to analyze the interactions between human beings and IoT devices in an environment which had not previously been subject to the Internet of People principles.. Leveraging the lessons learned in these use-cases, the Privacy-enabling Fog-based and Flexible (PyFF) human-centric and human-aware architecture is proposed which brings together distributed and intelligent systems are brought together. PyFF aims to maintain end-users\u2019 privacy by involving them in the whole data lifecycle, allowing them to decide which information can be monitored, where it can be computed and the appropriate feedback channels in accordance with human-in-the-loop principles.}, language = {en}, number = {11}, urldate = {2021-05-26}, journal = {Sensors}, author = {Benhamida, Fatima Zohra and Navarro, Joan and G\xf3mez-Carmona, Oihane and Casado-Mansilla, Diego and L\xf3pez-de-Ipi\xf1a, Diego and Zaballos, Agust\xedn}, month = may, year = {2021}, keywords = {Edge Computing, IF3.847, Intelligent Environments, Internet of Things, Q2}, pages = {3640}, } ']

[u' @article{irizar-arrieta_addressing_2020, title = {Addressing {Behavioural} {Technologies} {Through} the {Human} {Factor}: {A} {Review}}, volume = {8}, issn = {2169-3536}, shorttitle = {Addressing {Behavioural} {Technologies} {Through} the {Human} {Factor}}, url = {https://ieeexplore.ieee.org/document/9035412/}, doi = {10.1109/ACCESS.2020.2980785}, abstract = {Energy-efficiency related research has reached a growing interest in recent years due to the imminent scarcity of non-renewable resources in our environment and the impending impacts their usage have on our environment. Thus, facing the reduction of energy waste and management has become a pivotal issue in our society. To cope with energy inefficiency, the scientific research community has identified the promotion of people\u2019s behaviour change as a critical field to foster environmental sustainability. However, the body of literature shows a lack of systematic methods and processes to reach a common ground when designing technology for promoting sustainable behaviour change. Therefore, this paper contributes with a thorough review and analysis of state of the art. Firstly, theoretical works related to behaviour change are collected and studied to clarify their main concepts and theories. Secondly, the different technologies, processes, methods and techniques applied in the field are reviewed to find diverse strategies in the application of the previously explained theoretical domains. Moreover, a wide range of systems developed to improve energy efficiency through human behaviour change is analysed (from augmented objects to the Internet of Things, digital applications or websites). Finally, the detected research gaps are listed to guide future research when aiming to raise the awareness of individuals through Information and Communication Technologies.}, urldate = {2020-04-29}, journal = {IEEE Access}, author = {Irizar-Arrieta, Ane and Gomez-Carmona, Oihane and Bilbao-Jayo, Aritz and Casado-Mansilla, Diego and Lopez-De-Ipina, Diego and Almeida, Aitor}, year = {2020}, keywords = {Activity Recognition, Artificial Intelligence, Behaviour change, Behaviour modelling, FuturAAL, ICT, Intelligent Environments, Internet of Things, IoT, JCR3.367, Q2, Sustainability, Sustainable Behaviour Change, machine, machine learning, sentientthings}, pages = {52306--52322}, } ']

[u' @article{gomez-carmona_exploring_2020, title = {Exploring the computational cost of machine learning at the edge for human-centric {Internet} of {Things}}, volume = {112}, issn = {0167739X}, url = {https://www.sciencedirect.com/science/article/pii/S0167739X20304106}, doi = {10.1016/j.future.2020.06.013}, abstract = {In response to users\u2019 demand for privacy, trust and control over their data, executing machine learning tasks at the edge of the system has the potential to make the Internet of Things (IoT) applications and services more human-centric. This implies moving complex computation to a local stage, where edge devices must balance the computational cost of the machine learning techniques to meet the available resources. Thus, in this paper, we analyze all the factors affecting the classification process and empirically evaluate their impact in terms of performance and cost. We put the focus on Human Activity Recognition (HAR) systems, which represent a standard type of classification problems in human-centered IoT applications. We present a holistic optimization approach through input data reduction and feature engineering that aims to enhance all the stages of the classification pipeline and integrate both inference and training at the edge. The results of the conducted evaluation show that there is a highly non-linear trade-off to make between the computational cost, in terms of processing time, and the achieved classification accuracy. In the presented case of study, the computational effort can be reduced by 80\\% assuming a decline of the classification accuracy of only 3\\%. The potential impact of the optimization strategy highlights the importance of understanding the initial data and studying the most relevant characteristics of the signal to meet the cost\u2013accuracy requirements. This would contribute to bringing embedded machine learning to the edge and, hence, creating spaces where human and machine intelligence could collaborate.}, language = {en}, urldate = {2020-06-22}, journal = {Future Generation Computer Systems}, author = {G\xf3mez-Carmona, Oihane and Casado-Mansilla, Diego and Kraemer, Frank Alexander and L\xf3pez-de-Ipi\xf1a, Diego and Garc\xeda-Zubia, Javier}, month = jun, year = {2020}, keywords = {Edge Computing, IF7.187, Intelligent Environments, Internet of Things, Q1, embedded system, machine learning}, pages = {670--683}, } ']

[u" @incollection{gomez-carmona_opportunities_nodate, series = {Ambient {Intelligence} and {Smart} {Environments}}, title = {Opportunities and {Challenges} of {Technology}-based {Interventions} to {Increase} {Health}-awareness in the {Workplace}}, volume = {25}, isbn = {978-1-61499-972-0}, abstract = {Well-being at work is gaining an increasing importance on the overall health promotion as the workplace is considered an adequate setting to support health-related interventions reaching large audiences. In fact, an increasing number of initiatives are being carried out to influence employees towards healthier lifestyles in later years. However, despite demonstrating moderate efficacy, the body of literature shows that the lack of adherence of the target audience to the interventions is an important factor to overcome in order to attain higher success. To increase employees' motivation and prevent early drop-out, disengagement or high attrition rates, this work presents an intervention methodology based on the Internet of Things (IoT) paradigm. Specifically, it presents a novel concept of a participatory worker-centric IoT solution for enhancing individuals' well-being in office environments. This approach seeks to stress the significance of empowering workers providing to them fine-grained control of their own well-being and self-care which correlates to higher rates of participation in health promotion initiatives. Along this chapter the main challenges associated with the design and development of technology-based interventions are reviewed. Moreover, the value of increasing the acceptance and adoption of the presented IoT approach from the employee's perspective is analyzed in a comprehensive manner.}, booktitle = {Transforming {Ergonomics} with {Personalized} {Health} and {Intelligent} {Workplaces}}, publisher = {IOS Press, Incorporated}, author = {G\xf3mez-Carmona, Oihane and Casado-Mansilla, Diego and Garcia-Zubia, Javier}, keywords = {Intelligent Environments, Internet of Things, Participatory Sensing, Wellness Promotion, workplace}, pages = {14} }"]

[u' @article{gomez-carmona_enhancing_2019, title = {Enhancing street-level interactions in smart cities through interactive and modular furniture}, issn = {1868-5137, 1868-5145}, url = {http://link.springer.com/10.1007/s12652-019-01577-8}, doi = {10.1007/s12652-019-01577-8}, abstract = {The idea of smart cities is becoming part of our reality and it represents the transformation that urban areas should undergo to create more sustainable and efficient spaces. Through the combination of technology to gather data, people to produce them and stakeholders\u2019 creativity, the smart cities provide tools and mechanisms that bring greater value to the environment and, in the end, improve citizens quality of life. Although the concept of a smart city is evolving fast in terms of technology adoption and user involvement, the new interactive objects that will be deployed in those smart environments to create street-level interactions are still dubious. Hence, this article contributes to presenting the implementation of a multifunctional digital system, in the form of smart furniture, to be deployed in the smart cities. The proposed smart object is a modular and customizable kiosk, resembling a totem, specifically designed to fit into this digital transformation and to respond to users\u2019 needs by offering contextualized information and services. The included integrated hardware elements interact digitally and physically with users, sense environmental conditions and send the captured data to the cloud, where remote management tools allow to control and configure the whole setup. The presented smart totem has been customized for two different use-cases to highlight the adaptability of the system to fit for different purposes. Moreover, one of the use-cases has been thoroughly evaluated after being deployed for 6 months in the wild at the Chinese and Japanese Garden of Singapore. The quantitative data gathered throughout this study along with the obtained qualitative users\u2019 feedback, help to provide insights for the convenience of deploying new interactive furniture in smart cities, the adoption barriers of such physical systems, and the new opportunities that these street-level interactions can elicit.}, language = {en}, urldate = {2019-11-19}, journal = {Journal of Ambient Intelligence and Humanized Computing}, author = {G\xf3mez-Carmona, Oihane and S\xe1daba, Juan and Casado-Mansilla, Diego}, month = nov, year = {2019}, keywords = {IF4.594, Interactive kiosk, Q1, Smart Cities, Smartoki}, } ']

[u' @inproceedings{benhamida_smartworkplace:_2019, address = {Bilbao, Spain}, series = {\\{{CEUR}\\} {Workshop} {Proceedings}}, title = {{SmartWorkplace}: {A} {Privacy}-based {Fog} {Computing} {Approach} to {Boost} {Energy} {Efficiency} and {Wellness} in {Digital} {Workplaces}}, volume = {Vol-2530}, url = {http://ceur-ws.org/Vol-2530/paper2.pdf}, abstract = {The massive digitalization of modern society has transformed human lifestyles in several dimensions ranging from social interactions to healthcare and wellness, including transportation systems, jobs, machinery, or energy management. However, physical environments and people have not evolved at the same pace, leaving a challenging gap between the advances in technology and how society efficiently interact with it. One specific case is the workplaces where digital literacy is not widespread among all employees (e.g. blue or grey collars) and the advent of such digitalization is a reality. This work presents an architectural approach to improve energy efficiency and wellness at work (by suggesting new behaviours and dynamics) while maintaining user comfort and keeping user\u2019s privacy. More specifically, this approach\u2014inspired by the Fog computing paradigm\u2014features a hierarchical scheme based of privacy maintenance which (1) collects real-time data from the users at the workplace environment; (2) processes these data in either in the Fog or Cloud infrastructure depending on the data sensitiveness; and (3) provides feedback to the user along with a set of recommendations related to energy usage. As such, the user is included in the whole data-cycle which allows employees to decide what information can be monitored, where it can be computed and the appropriate ICT channels to receive the feedback.}, language = {en}, booktitle = {Proceedings of the 1st {Workshop} on {Cyber}-{Physical} {Social} {Systems}}, publisher = {CEUR-WS.org}, author = {Benhamida, Fatima Z and Casado-Mansilla, Diego and Navarro, Joan and L\xf3pez-de-Ipi\xf1a, Diego and G\xf3mez-Carmona, Oihane and Zaballos, Agust\xedn}, year = {2019}, keywords = {Edge Computing, Intelligent Environments, Internet of Things, workplace}, pages = {7} }']

[u' @inproceedings{gomez-carmona_simplicity_2019, address = {Bilbao, Spain}, title = {Simplicity is {Best}: {Addressing} the {Computational} {Cost} of {Machine} {Learning} {Classifiers} in {Constrained} {Edge} {Devices}}, isbn = {978-1-4503-7207-7}, shorttitle = {Simplicity is {Best}}, url = {http://dl.acm.org/citation.cfm?doid=3365871.3365889}, doi = {10.1145/3365871.3365889}, abstract = {The potential of the Internet of Things (IoT) has traditionally grown upon the basis of its connectivity and communication capabilities, where low-power devices gather physical data and send them to remote high-performance nodes. However, the Edge Computing paradigm is changing the Cloud-based approach moving the processing and data computation towards the edge, getting the computation closer to the data source. As a consequence, extending intelligence to embedded platforms at the edge involves addressing differently the data processing and the computation techniques to overcome the constraints of the IoT devices. To contribute to this new challenge, we analyze the feasibility of deploying different supervised Machine Learning techniques applied to human activity recognition into two single-board computers, namely a Raspberry Pi 3B+ and a Raspberry Zero W. To that end, we present the classification example of a drinking activity monitoring system as a case study. The results show that an initial optimization process (i.e. selecting the most important features of the raw sensor data) is preeminent to provide a substantial improvement on the classification process with a minimal loss of performance and saving valuable computational cost. Thus, the presented approach seeks to stress the importance of understanding the initial data and studying the most relevant characteristics of the signal to overcome the limitations of the IoT devices and succeed in bringing embedded Machine Learning to the edge.}, language = {en}, urldate = {2019-11-11}, booktitle = {Proceedings of the 9th {International} {Conference} on the {Internet} of {Things} - {IoT} 2019}, publisher = {ACM Press}, author = {G\xf3mez-Carmona, Oihane and Casado-Mansilla, Diego and L\xf3pez-de-Ipi\xf1a, Diego and Garc\xeda-Zubia, Javier}, year = {2019}, keywords = {Edge Computing, Internet of Things, Smart Environments, machine learning}, pages = {1--8} }']

[u" @inproceedings{gomez-carmona_health_2018, address = {Rome, Italy}, title = {Health {Promotion} in {Office} {Environments}: {A} {Worker}-centric {Approach} {Driven} by the {Internet} of {Things}}, volume = {23}, isbn = {978-1-61499-873-0 (print) {\\textbar} 978-1-61499-874-7 (online)}, doi = {10.3233/978-1-61499-874-7-355}, abstract = {Health promotion in the workplace is one of the main challenges that the World Health Organization (WHO) has set in its agenda for the 21\\${\\textasciicircum}\\{st\\}\\$ century. Motivated by this concern, many companies across the world have reacted launching awareness campaigns and wellness promotion programs. One of the recurring problems on different application scenarios is the lack of adherence of the target audience (i.e. disengagement, early drop-out or high attrition rates). In this context, the potential of the Information and Communication Technologies (ICT) and the emerging paradigm of the Internet of Things (IoT) can play a mediating role between the proposers (i.e. managers) and the target audience (i.e employees) to increase motivation and follow-up. The presented work reviews the main challenges of IoT-based interventions for workplace health promotion and presents a participatory worker-centric concept for enhancing individuals' well-being in office environments. Our approach seeks to stress the importance of empowering workers providing to them fine-grained control of their own well-being and self-care. To this aim, we propose turning work environments into ideal confident-settings to persuade and motivate end-users attaining substantial changes that will persist over time.}, booktitle = {Intelligent {Environments} 2018: {Workshop} {Proceedings} of the 14th {International} {Conference} on {Intelligent} {Environments}}, author = {G\xf3mez-Carmona, Oihane and Casado-Mansilla, Diego and Garc\xeda-Zub\xeda, Javier}, month = jun, year = {2018}, keywords = {Intelligent Environments, Internet of Things, Participatory Sensing, Wellness Promotion, workplace}, pages = {355 -- 363} }"]

[u" @inproceedings{gomez-carmona_towards_2018, address = {New York, NY, USA}, title = {Towards {Healthy} {Office} {Environments}: {A} worker-centric {Internet} of {Things} {Approach}}, isbn = {978-1-63190-163-8}, doi = {10.4108/eai.20-4-2018.2276414}, abstract = {Health promotion in the workplace is one of the main challenges that the World Health Organization (WHO) has set in its agenda for the 21st century. Motivated by this concern, many companies have reacted launching awareness campaigns and wellness promotion programs that often encounter lack of adherence or follow-up by the target audience. Information and Communication Technologies (ICT) and the emerging paradigm of the Internet of Things (IoT) can play a mediating role between the campaign's proposers and the employees to increase their motivation to stick and prevent early dropouts. Hence, this PhD work presents a participatory worker-centric concept for enhancing individuals' wellbeing in office environments. The approach seeks to stress the importance of empowering workers to control their own wellbeing and self-care, turning work environments into succeeding confident settings to persuade and motivate end-users to attain health related changes in the mid and long-term.}, booktitle = {Proceedings of the 12th {EAI} {International} {Conference} on {Pervasive} {Computing} {Technologies} for {Healthcare} \u2013 {Demos}, {Posters}, {Doctoral} {Colloquium}}, author = {G\xf3mez-Carmona, Oihane and Casado-Mansilla, Diego and Garc\xeda-Zubia, Javier}, month = may, year = {2018}, keywords = {Intelligent Environments, Internet of Things, Participatory Sensing, Wellness Promotion, workplace} }"]

[u' @article{gomez-carmona_multifunctional_2018, title = {Multifunctional {Interactive} {Furniture} for {Smart} {Cities}}, volume = {2}, issn = {2504-3900}, url = {http://www.mdpi.com/2504-3900/2/19/1212}, doi = {10.3390/proceedings2191212}, abstract = {The adaptation of cities to a future in which connectivity is at the service of the citizens will be a reality by creating interaction spaces and augmented urban areas. The research on this \ufb01eld falls within the scope of Smart Cities (SC) with the advantages that the common public spaces provide as new points for information exchange between the city, the urban furniture and their citizens. Kiosk systems have been recognized as an appropriate mean for providing event-aware and localized information to the right audience at the right time. Hence, in this article, we provide a vision of an eco-system of multifunctional urban furniture, where kiosks are part of them, designed not only for digital interaction but for sustainable use and symbolic integration into the urban environment as well. The proposed approach is conceived to drive services through digital urban nodes that facilitate tailored citizen-city communication and interaction. The central element of the designed platform consists on an intelligent digital kiosk which features a series of hardware and software components for sensing different environmental conditions, multimodal interaction with users and for conveying the captured data to the Cloud. The custom-based contents visualized to the users are controlled remotely through a management tool that allows to set-up and con\ufb01gure the digital kiosk. This system is not presented as an ad-hoc solution for one speci\ufb01c purpose but instead, it becomes a platform that can accommodate and solve the needs of every kind of user that populates urban shared-use spaces.}, language = {en}, number = {19}, urldate = {2019-04-09TZ}, journal = {Proceedings}, author = {G\xf3mez-Carmona, Oihane and Casado-Mansilla, Diego and L\xf3pez-de-Ipi\xf1a, Diego}, month = nov, year = {2018}, pages = {1212} }']

[u' @inproceedings{gomez-carmona_smiwork:_2017, address = {Split}, title = {{SmiWork}: {An} {Interactive} {Smart} {Mirror} {Platform} for {Workplace} {Health} {Promotion}}, abstract = {This paper presents the design and implementation of a multi-user smart mirror system conceived to promote wellness and healthier lifestyles in the work environment through persuasive strategies. By means of a RFID reader, the interactive mirror recognises different users through their personal corporate ID card, which allows them to have access to their personalised user-interface. The smart mirror provides workplace\u2019s indoor environmental conditions (thermal, humidity and light), personal physical exercise data obtained from wearable devices and general purpose information (e.g. weather and daily news). Additionally, motivational advice related to physical performance is supplied through request by applying speech-based recognition techniques. End-users can also inquire the mirror about their ranking position in a fair-daily competition that gives social recognition to the most-active-user. The implemented mirror has been evaluated in a one-week study conducted in the wild in the workplace premises. The quantitative data gathered throughout the study, as well as the qualitative users\u2019 feedback obtained in a post-trial focus group, provided promising findings for the acceptance and convenience of such a persuasive device in the work environment. Furthermore, valuable design-insights were obtained for future iterations of the smart mirror that encourages workers towards healthier lifestyles.}, booktitle = {2nd {International} {Multidisciplinary} {Conference} on {Computer} and {Energy} {Science}}, author = {G\xf3mez-Carmona, Oihane and Casado-Mansilla, Diego}, month = jul, year = {2017}, keywords = {E-Health, Intelligent Environments, Internet of Things, Smart Everyday Objects, Wellness Promotion, smiwork-an-interactive-smart-mirror-platform-for-workplace-health-promotion} }']