Examinando por Autor "Puerta Beldarrain, Maite"

Mostrando 1 - 4 de 4
  • Miniatura
    Ítem
    Engagement and accessibility tools for pro-environmental action on air quality: the SOCIO-BEE paradigm
    (Springer Science and Business Media Deutschland GmbH, 2024-01) Atutxa Ordeñana, Ekhi; García Torres, Sofía; Kyfonidis, Charalampos; Karanassos, Dimitrios; Kopsacheilis, Evangelos; Tsita, Christina; Casado Mansilla, Diego; Emvoliadis, Alexandros; Angelis, Georgios; López de Ipiña González de Artaza, Diego; Puerta Beldarrain, Maite; Drosou, Anastasios; Tzovaras, Dimitrios
    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 ensure inclusive participation and leverage non-technical and technical elements to maximise stakeholder engagement in scientific activities to successfully address sustainability concerns. For that, it builds on the interim results of the H2020 SOCIO-BEE project, a Citizen science (CS) proposal to reduce air pollution through inclusive community engagement and social innovation. As part of an interdisciplinary CS project, an abductive systematic combining methodology was employed, which allowed for dialogue and collaboration between theory and practice throughout the whole process, during which separate groups of experts and potential end-users were involved. The article presents (i) the stakeholder engagement strategy codified in the SOCIO-BEE toolkit as a robust, actionable and inclusive foundation of engagement to CS activities; and (ii) the digital platform UX that allows setting up campaigns for measurements and assignment to citizens, incorporating the requirements for flexibility, accessibility, limited digital literacy, inclusion and legal and ethical considerations. Their combination and mutual interaction aim to leverage the pros of CS and technology whilst reducing their cons to ensure the four pillars of applicability, scalability, actionability, and inclusion. This is supported by the presented hybrid model which combines physical and virtual spaces and individual and collective action.
  • Miniatura
    Ítem
    Humanized computing for higher collaboration and reciprocal learning between machines and people
    (Sociedad de Estudios Vascos = Eusko Ikaskuntza, 2023) López de Ipiña González de Artaza, Diego; Casado Mansilla, Diego; Puerta Beldarrain, Maite; Gómez Carmona, Oihane
    Lan honek bi ikuspegi soziotekniko aztertzen ditu teknologia digitalak erabiltzen dituzten komunitate adimendunak egiteko, makinen eta pertsonen arteko elkarrekiko ikaskuntza ahalbidetuko duen lankidetza handiagoa lortzeko. Alde batetik, koprodukzioak jokabide-aldaketa sustatzen du, herritarrak kodiseinuko eta baterako diseinuko prozesuan ahaldunduz, erabiltzailean oinarritutako irtenbideak diseinatuz, tokiko ezagutza aprobetxatuz, lankidetza sustatuz eta gaitasunen garapena erraztuz. Bestalde, herritarren zientziak jokabide-aldaketa eragin eta ahalbidetu dezake, komunitatearentzako ekintza jasangarriagoak, arduratsuagoak eta orientatuagoak egiteko, kontzientziazioa, komunitatearen gaikuntza eta lankidetza sustatuz. Lan honen arabera, bi ikuspegi horiek lagun diezagukete aurrera egiten, gizakiak beti begiztan sartuko dituen informatika-belaunaldi berri baterantz, hau da, informatika humanizaturantz.
  • Miniatura
    Ítem
    A multifaceted vision of the human-AI collaboration: a comprehensive review
    (Institute of Electrical and Electronics Engineers Inc., 2025) Puerta Beldarrain, Maite; Gómez Carmona, Oihane; Sánchez Corcuera, Rubén; Casado Mansilla, Diego; López de Ipiña González de Artaza, Diego; Chen, Liming
    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, underscoring the need for a cohesive perspective to advance. This work addresses this gap by integrating insights from diverse aspects of collaboration to present a holistic approach to fostering effective and adaptive interactions between humans and artificial agents. It emphasizes empowering end-users with greater control and involvement in decision-making processes, thereby enhancing both the levels of interactivity and adaptability within intelligent systems. Moving beyond a focus on AI training techniques, this paper presents a broader perspective on incorporating human input into AI decision-making and learning processes, highlighting the importance of flexibility in systems and user engagement. The manuscript proposes a framework encompassing five levels of human integration and examines their relationship with core collaboration aspects, including the system purpose, participant expertise, and system proactivity. By synthesizing current knowledge on human-AI collaboration and outlining essential design principles, this work aims to advance the field and foster interdisciplinary collaboration among researchers, practitioners, and designers
  • Miniatura
    Ítem
    A spatial crowdsourcing engine for harmonizing volunteers’ needs and tasks’ completion goals
    (Multidisciplinary Digital Publishing Institute (MDPI), 2024-12) Puerta Beldarrain, Maite; Gómez Carmona, Oihane; Chen, Liming; López de Ipiña González de Artaza, Diego; Casado Mansilla, Diego; Vergara, Felipe Eduardo
    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, the Volunteer Task Allocation Engine (VTAE), to address these challenges. This solution is not based on economic incentives, and it has two primary goals. The first one is to improve user experience by limiting the workload and creating a user-centric task allocation solution. The second goal is to create an equal distribution of tasks over the spatial locations to make the solution robust against the possible decrease in participation. Two approaches are used to test the performance of this solution against different conditions: computer simulations and a real-world experiment with real users, which include a qualitative evaluation. The simulations tested system performance in controlled environments, while the real-world experiment assessed the effectiveness and usability of the VTAE with real users. This research highlights the importance of user-centered design in citizen science applications with altruistic participation. The findings demonstrate that the VTAE algorithm ensures equitable task distribution across geographical areas while actively involving users in the decision-making process.