Diego López-de-Ipiña

• Full Professor
• Principal Investigator at University of Deusto

This chapter outlines a robust protocol for integrating low-cost air pollution sensors (LCS) into citizen science projects, aiming to generate accurate, actionable data to inform environmental policy. The protocol addresses critical operational considerations, including sensor calibration, data quality control, and participant engagement strategies...

Human-AI collaboration has evolved into a complex, multidimensional paradigm shaped by research in various domains. Key areas such as human-in-the-loop systems, Interactive Machine Learning (IML), Hybrid Intelligence, and Human-Agent Interaction have significantly contributed to this development. However, these fields often lack cohesion, underscor...

This work addresses the task allocation problem in spatial crowdsensing with altruistic participation, tackling challenges like declining engagement and user fatigue from task overload. Unlike typical models relying on financial incentives, this context requires alternative strategies to sustain participation. This paper presents a new solution, th...

Air pollution poses significant public health risks, necessitating accurate and efficient monitoring of particulate matter (PM). These organic compounds may be released from natural sources like trees and vegetation, as well as from anthropogenic, or human-made sources including industrial activities and motor vehicle emissions. Therefore, measurin...

Energy-related occupant behaviour in the built environment is considered crucial when aiming towards Energy Efficiency (EE), especially given the notion that people are most often unaware and disengaged regarding the impacts of energy-consuming habits. In order to affect such energy-related behaviour, various approaches have been employed, being th...

This paper investigates the challenges of designing a computer supported collaborative environment aimed at facilitating co-production processes, i.e., those collaborative processes between Public Administrations, private stakeholders and citizens that aim at the design of public services, their implementation, and their shared delivery to the comm...

Background Frailty resulting from the loss of muscle quality can potentially be delayed through early detection and physical exercise interventions. There is a demand for cost-effective tools for the objective evaluation of muscle quality, in both cross-sectional and longitudinal assessments. Literature suggests that quantitative analysis of ultras...

The involvement of citizens and all stakeholders is crucial in tackling environmental and social matters. This, addressing equity and diversity issues, although challenging, is a necessary condition for achieving positive outcomes and ensuring that no one is left behind. To help ease this challenge, this work presents a systematic approach to ensur...

Campaigns in Citizen Science (CS) experiments are co-production processes where a wide range of diverse stakeholders must be coordinated to achieve a common societal or environmental purpose, i.e., generate evidence for the validation of a hypothesis. This work describes a Collaborative Environment (CE) to aid the co-design and co-delivery of CS ca...

BACKGROUND Frailty derived from muscle quality loss can potentially be delayed through early detection and physical exercise interventions. There is a need for affordable tools for the objective evaluation of muscle quality, in both cross-sectional and longitudinal assessment. Literature suggests that quantitative analysis of ultrasound data captur...

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 ience in daily life. However, the lower population density and the lack of digital infrastructure in such rural areas make...

Many industries, including healthcare, banking, the auto industry, education, and retail, have already undergone significant changes because of artificial intelligence (AI). Business-to-Customer (B2C) e-commerce has considerably increased the use of AI in recent years. The purpose of this research is to examine the significance and impact of AI in...

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...

This paper describes a digital tool to foster sustainable engagement of stakeholders in collaborative processes, namely Collaborative Environment. A distinguishing aspect of the tool is its co-production model-based project management and its emphasis on reusability. The paper also reasons on how this tool should be effectively complemented to real...

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)...

Knowledge Graphs represent real-world facts and are used in several applications; however, they are often incomplete and have many missing facts. Link prediction is the task of completing these missing facts from existing ones. Embedding models based on Tensor Factorization attain state-of-the-art results in link prediction. Nevertheless, the embed...

Connected cars have often been defined as vehicles that can provide some services and information without human intervention. Several scholars have examined the factors that promote the purchase or adoption of such augmented vehicles. However, little emphasis has been placed on the determinants for reducing car expenditures when a driver owns a car...

As the number of interconnected devices increases and more Artificial Intelligence (AI) applications upon the Inter-net of Things (IoT) start to flourish, 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 s...

Data scientists spend much time with data cleaning tasks, and this is especially important when dealing with data gathered from sensors, as finding failures is not unusual (there is an abundance of research on anomaly detection in sensor data). This work analyzes several aspects of the data generated by different sensor types to understand particul...

The development of new technology-based products has enabled the insurance world to offer new tools that grant a certain level of control over the driver and the services associated with mobility. Analyzing driver behavior through objective data in the connected car offers a plethora of opportunities to model the way someone drives and the services...

With the availability of data and the increasing capabilities of data processing tools, many businesses are leveraging historical sales and demand data to implement smart inventory management systems. Demand forecasting is the process of estimating the consumption of products or services for future time periods. It plays an important role in the fi...

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’ reluctance and aversion. Although it is essential to consider user involvement/privacy while deploying IoT d...

The use of interactive technology to change behavior, which is commonly known as persuasive technology, is currently gaining attention in information systems research. It has been assessed in many application domains and the field of private mobility is not an exception, notably with the advent of self-driven cars. However, the reviewed body of res...

The heterogeneity and dynamism of people make addressing user diversity and its categorisation critical factors, which should be carefully considered when developing pro-environmental strategies and interventions. Nevertheless, the complexities of individuals complicates the creation of modelling and classification systems. The aforementioned issue...

Zero-shot learning is a very promising research topic. For a vision-based action recognition system, for instance, zero-shot learning allows to recognise actions never seen during the training phase. Previous works in zero-shot action recognition have exploited in several ways the visual appearance of input videos to infer actions. Here, we propose...

In response to users’ 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...

Available at: https://www.sciencedirect.com/science/article/pii/S1071581919301570 Addressing efficient management of energy has become a central objective due to the scarcity of traditional energy sources and global warming. To cope with this overarching issue, some technological solutions such as Smart Grids, Internet of Things or Demand response...

Occupants of tertiary environments rarely care about their energy consumption. This fact is even more accentuated in cases of buildings of public use. Such unawareness has been identified by many scholars as one of the main untapped opportunities with high energy saving potential in terms of cost-effectiveness. Towards that direction, there have be...

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 inefficie...

Recommendation systems are gaining popularity on Internet platforms such as Amazon, Netflix, Spotify or Booking. As more users are joining these online consumer and entertainment sectors, the profile-based data for providing accurate just-in-time recommendations is rising thanks to strategies based on collaborative filtering or content-based metric...

Addressing how human behaviour can be taken into account when designing for sustainability is an emerging topic in the development of pro-environmental person-centred smart systems. Indeed, user diversity and categorisation in the context of sustainable behaviour was already studied by some scholars in recent literature. However, the complexity of...

This work describes how open data and human computation can be brought together through blockchain to foster the collaboration of citizens on the continuous enhancement of open data portals. For that, it contributes with a set of enhancements to the widely adopted data management tool Comprehensive Knowledge Archive Network (CKAN), to allow full au...

Internet of Things (IoT) is widely spread to reach many application domains (industry 4.0, eHealth, smart city...). However, smart objects in IoT environments are facing communication challenges because of their mobility, and limited resources (capacities in computing, storage and energy). The use of Delay Tolerant Network (DTN) as basis for commun...

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 tow...

Automation through IoT brings with it a whole new set of societal, cognitive and ethical implications that we barely begin to address. Nonetheless, it is widely considered the panacea to overcoming the majority of global issues by many scholars with few arguments about its side-effects. The case of energy efficiency as an immediate action to overco...

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 a...

Automation through IoT brings with it a whole new set of philosophical and ethical implications that we barely began to address. However, it is widely considered by many scholars as the panacea to overcoming the majority of societal issues. The case of energy efficiency as an action for tackling climate change is not different: demand-response prop...

Human computation or Human-based computation (HBC) is a paradigm that considers the design and analysis of information processing systems in which humans participate as computational agents performing small tasks and being orchestrated by a computer system. In particular, humans perform small pieces of work and a computer system is in charge of orc...

Intelligent tutors and conversational agents have proven to be useful learning tools. They have potential not only as stand-alone devices but also as integrable components to enrich and complement other educational resources. For this, new authoring approaches and platforms are required. They should be accessible to non-programmers (such as most te...

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 field 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 c...

Foodbar is a Cloud-based gastroevaluation solution, leveraging IBM Watson cognitive services. It brings together machine and human intelligence to enable cognitive gastroevaluation of “tapas” or “pintxos” , i.e., small miniature bites or dishes. Foodbar matchmakes users’ profiles, preferences and context against an elaborated knowledge graph based...

Smart Cities aim to increase citizens’ quality of life. Smart Government is a part of Smart Cities domain aiming to enhance the communication and interactions of citizens and companies with government. The SIMPATICO framework combines machine and human intelligence to simplify e-services i.e., web accessible apps to accomplish administrative proced...

Open Government aims to enhance the transparency, participation and collaboration of city stakeholders in order to give place to Smarter Cities. This paper describes the WeLive co-creation fostering methodology together with its associated co-creation tools and a wide range of resulting co-created artefacts. This combination of co-creation methodol...

Governments are facing increasing expectations from citizens to deliver more innovative and responsive services. Digital technologies offers opportunities for more collaborative and participatory relationships across stakeholders to actively collaborate in the design of public services and participate in their delivery. In this work we present Citi...

The GreenSoul project introduces an innovative energy-efficient platform which enhances traditional public-use buildings with various technologies, such as smart adaptors, energy analyzers, an occupant aware decision support engine, mobile applications and interactive ambient interfaces. These enhancement aims to directly improve the interactions b...

WebLab-Deusto is an open-source Remote Laboratory Management System (RLMS). On top of it, one can develop and manage remote laboratories and share them with other institutions. This chapter describes the architecture and features of the system, as well as a nontechnical view of other aspects such as how to share laboratories in the context of WebLa...

In this paper, we analyze the opportunities of the structured information of the social networks for the subjectivity detection on Twitter micro texts. The sentiment analysis on Twitter has been usually performed through the automatic processing of the texts. However, the established limit of 140 characters and the particular characteristics of the...

Interactive live streaming is a key feature of applications and platforms in which the actions of the viewers affect the content of the stream. In those, a minimal capture-display delay is critical. Though recent technological advances have certainly made it possible to provide web-based interactive live-streaming, little research is available that...

The GreenSoul (GS) framework aims to provide a low-cost energy-efficient Information and Communications Technology (ICT) platform which seamlessly augments a traditional public-use building with a set of assets (apps, interactive interfaces, device adaptors, smart meters and a Decision Support Engine), which mediate in the interactions of users wit...

Human activity recognition has the potential to become a real enabler for ambient assisted living technologies. Research on this area demands the execution of complex experiments involving humans interacting with intelligent environments in order to generate meaningful datasets, both for development and validation. Running such experiments is gener...

WeLive project’s main objective is about transforming the current e-government approach by providing a new paradigm based on a new open model oriented towards the design, production and deployment of public services and mobile apps based on the collaboration of different stakeholders. These stakeholders form the quadruple helix, i.e., citizens, pri...

The increase in the number of large-scale events held indoors (i.e., conferences and business events) opens new opportunities for crowd monitoring and access controlling as a way to prevent risks and provide further information about the event’s development. In addition, the availability of already connectable devices among attendees allows to perf...

Interactive live-streaming applications and platforms face particular challenges: the actions of the viewers affect the content of the stream. A minimal capture-render delay is critical. This is the case of applications such as remote laboratories, which allow students to view specific hardware through a webcam, and interact with it remotely in clo...

The increase of life expectancy in modern society has caused an increase in elderly population. Elderly people want to live independently in their home environment for as long as possible. However, as we age, our physical skills tend to worsen and our social circle tends to become smaller, something that often leads to a considerable decrease of bo...

This paper describes the WeLive framework, a set of tools to enable co-created urban apps by means of bringing together Open Innovation, Open Data and Open Services paradigms. It proposes a more holistic involvement of stakeholders across service ideation, creation and exploitation. The WeLive co-creation process applied to three new urban apps in...

Smart Cities use Information and Communication Technologies (ICT) to manage more efficiently the resources and services offered by a city and to make them more approachable to all its stakeholders (citizens, companies and public administration). In contrast to the view of big corporations promoting holistic “smart city in a box” solutions, this wor...

In this paper, we propose an approach to the subjectivity detection on Twitter micro texts that explores the uses of the structured information of the social network framework. The sentiment analysis on Twitter has been usually performed through the automatic processing of the texts. However, the established limit of 140 characters and the particul...

In order to achieve higher energy efficiency in buildings, it is essential that devices be consciously used. The GreenSoul project aims to build energy awareness to users and help them change their energy consumption behavior. This will be succeeded by changing the way people use energy consuming devices and by embedding intelligence in the devices...

Online laboratories have traditionally been split between virtual labs, with simulated components; and remote labs, with real components. The former tend to provide less realism but to be easily scalable and less expensive to maintain, while the latter are fully real but tend to require a higher maintenance effort and be more error-prone. This tech...

Purpose – The purpose of this paper is to present a new approach toward automatically visualizing Linked Open Data (LOD) through metadata analysis. Design/methodology/approach – By focussing on the data within a LOD dataset, the authors can infer its structure in a much better way than current approaches, generating more intuitive models to progre...