Publications

Permanent URI for this collectionhttps://repositorio.grial.eu/handle/123456789/34

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Author: search.filters.author.García-Holgado, AliciaStart date: 2020

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    Refactoring User Interfaces Through a Data-Driven Framework: a Case Study in the Health Domain
    (IEEE, 2023-10-16) Vázquez-Ingelmo, Andrea; García-Holgado, Alicia; García-Peñalvo, Francisco José; Pérez-Sánchez, Pablo; Antúnez-Muiños, Pablo; Sánchez-Puente, Antonio; Vicente-Palacios, Víctor; Dorado-Díaz, Pedro Ignacio; Sánchez, Pedro Luis
    User interfaces (UIs) play a crucial role in defining user experiences and influencing the success of software products. While UI design has traditionally been subjective and iterative, data-driven approaches are becoming increasingly popular to ensure that Uis meet user needs and expectations. However, contextual factors such as the application domain can present challenges for designing Uis that are both effective and efficient. This is particularly true in the health domain, where Uis must be adapted to specific tasks and user expertise to maximize the support provided by software systems. Moreover, the urgency of delivering fully functional systems in short periods can relegate UI design to a second plane. This paper presents a framework proposal for refactoring and improving Uis using a data-driven approach, providing an efficient and systematic methodology to address not solved UI issues introduced during previous software development processes. The proposed framework has been successfully applied to two medical platforms, demonstrating the importance of data-driven approaches for UI refactoring in domains with particular necessities.
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    D-AI-COM: A DICOM Reception Node to Automate the Application of Artificial Intelligence Scripts to Medical Imaging Data
    (Springer, 2024-05-01) Vázquez-Ingelmo, Andrea; García-Holgado, Alicia; García-Peñalvo, Francisco José; Pérez-Sánchez, Pablo; Sánchez-Puente, Antonio; Vicente-Palacio, Víctor; Dorado-Díaz, Pedro Ignacio; Sánchez, Pedro Luis
    Artificial Intelligence (AI) has proven to be useful in several fields. The medical domain is one of the fields that benefits from the application of AI methods to automate and ease complex tasks including disease detection, segmentation, assessment of organ functions, etc. However, applying these kinds of methods to the variety of data formats involved in health contexts is not trivial. It is necessary to provide technologies that enable non-expert users to benefit from AI applications. This work presents a platform that acts as a DICOM reception node with the goal of automating the application of AI algorithms to medical imaging data. This platform is set to ease the process applying AI to their DICOM images by making the whole process transparent and straightforward for users without AI-related or programming skills.
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    AI-Powered DICOM Image Segmentation: A Collaborative Platform for Continuous Expert Feedback
    (Springer, 2026-03-01) Santos-Blázquez, Pablo; Vázquez-Ingelmo, Andrea; García-Holgado, Alicia; García-Peñalvo, Francisco José; Sánchez-Puente, Antonio; Sánchez, P. L.
    his work presents the development of an interactive web platform that integrates deep learning techniques for the segmentation of cardiac ultra-sound (echocardiogram) images. The platform incorporates a Picture Archiving and Communication System (PACS) to facilitate the seamless visualization, anno-tation, and automated processing of DICOM images. The web platform features an intuitive interface that allows healthcare professionals to interactively annotate medical images, providing feedback that directly informs model improvements. The system’s retraining workflow ensures that AI-driven segmentation remains adaptable to real-world clinical needs. These findings underscore the importance of iterative AI model refinement through expert feedback, paving the way for more reliable and personalized medical image analysis.
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    Management and Application of AI to DICOM Image Processing: A Systematic Mapping Literature Review
    (Springer, 2024-07-15) Fraile-Sanchón, Rubén; Vázquez-Ingelmo, Andrea; García-Peñalvo, Francisco José; García-Holgado, Alicia
    Artificial intelligence (AI) has the potential to bring unprecedented benefits to humankind. Therefore, it is worth investigating how to maximize these benefits while avoiding potential pitfalls. Given this context, the first task necessary to assess the potential of this approach is to understand the management landscape and the application of AI to DICOM image processing. In this case, the researchers employ a systematic mapping review. This paper presents this process and its main findings. 35 studies have been selected from a total of 154 analyzed. From them, in addition to obtaining a clear view of the application of AI to DICOM images, we can also conclude that pre-trained AI algorithms are used in a higher amount than non-trained algorithms in terms of DICOM image usage.
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    Agile change approach for collaborative software development contexts: A systematic literature review
    (Elsevier, 2025-11-25) González-Blázquez, José Luis; García-Holgado, Alicia; García-Peñalvo, Francisco José
    This systematic literature review examines how agile solutions can drive organizational change in collaborative open-source software (OSS) contexts. Motivated by persistent challenges in governance, alignment, contribution lifecycles, workflow, leadership, and measurement, the review asks which prescriptive and non-prescriptive agile approaches are being applied when organizations collaborate with OSS communities, and how these approaches mitigate those issues. The study first conducts an umbrella review (2000–2024) to confirm the gap and scope, then performs a main systematic review across digital libraries using inclusion, exclusion, and quality criteria. The synthesis maps findings to a conceptual framework of nine problem areas and two change paths. Results show a dominance of prescriptive methods, especially Scrum, LeSS, SAFe, and Kanban, for workflow trans-parency, dependency management, and coordination, while governance and leadership models remain under-explored. Building on this evidence, the paper proposes: (1) a prescriptive change approach for low-maturity organizations that integrates holacratic governance with Scrum/LeSS, Communities of Practice, Design Thinking for innovation, Management 3.0 leadership, and KPI-oriented cultures; and (2) a non-prescriptive approach for mature organizations based on unFIX’s fractal organizational design, forums and collaboration patterns, dele-gation levels, and outcome-focused metrics to extend co-evolution with communities. The dual pathway enables organizations to select and sequence interventions that align with their paradigm and maturity, thereby bridging organizational and community boundaries to foster sustained agility. The review highlights open research needs on governance mechanisms, leadership in symbiotic ecosystems, and empirical evaluations of combined scaling approaches beyond SAFe, as well as longitudinal studies on alignment, dependency management, and mea-surement cultures in high-variability OSS environments.
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    Gincanas y búsqueda del tesoro en el proyecto HerStory: descubriendo la historia de las mujeres en Salamanca
    (Servicio de Publicaciones Universidad de Zaragoza, 2025-06-11) Verdugo-Castro, Sonia; García-Holgado, Alicia; García-Silva, Erika; García-Holgado, Lucía; García-Peñalvo, Francisco José
    La forma en que se ha contado la historia, desde una perspectiva androcéntrica, ha invisibilizado las contribuciones de las mujeres, perpetuando estereotipos de género y referentes culturales desiguales. En torno a esta problemática, el proyecto HerStory busca dar visibilidad a las mujeres a lo largo de la historia en diferentes ciudades europeas. El presente trabajo presenta la experiencia educativa desarrollada en Salamanca centrada en la implementación de gincanas y actividades de búsqueda del tesoro con enfoque de género. A través de un diseño metodológico basado en la gamificación, la exploración del entorno local y el aprendizaje experiencial, se han llevado a cabo tres gincanas con público de diferentes géneros y edades. Los resultados evidencian un impacto educativo favorable y una valoración positiva por parte de las personas participantes. La propuesta destaca por su sostenibilidad, accesibilidad tecnológica y potencial de transferibilidad a otros contextos educativos y culturales. Esta iniciativa supone una buena práctica para potenciar el conocimiento sobre la huella de las mujeres en las ciudades.
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    AI-Assisted UML Learning: Toward Ethical Integration of Generative Artificial Intelligence in Software Engineering Education
    (Servicio de Publicaciones Universidad de Zaragoza, 2025-06-11) Vázquez-Ingelmo, Andrea; Castillo-Salguero, Cristian Alejandro; García-Peñalvo, Francisco José; Conde, Miguel Ángel; García-Holgado, Alicia; Therón, Roberto
    This paper presents a web-based chatbot platform designed to support the teaching of UML domain modeling in software engineering education. Leveraging locally executed generative AI (DeepSeek-v2), the tool provides students with anonymized, interactive feedback and problem generation capabilities while preserving data privacy and promoting ethical AI use. The platform fosters autonomy, digital literacy, and critical reflection, offering a scalable and sustainable solution for integrating AI into higher education.
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    Integración de herramientas de IA generativa en el Diseño Centrado en el Usuario
    (Universidad de Salamanca. Instituto Universitario de Ciencias de la Educación, 2025-10-31) Therón-Sánchez, Roberto; García-Holgado, Alicia; Silva, Luis Augusto
    Durante los cursos académicos 2023-2024 y 2024-2025 se ha desarrollado una experiencia docente en la asignatura Interacción Persona-Ordenador del Grado en Ingeniería Informática de la Universidad de Salamanca, centrada en la integración de herramientas de inteligencia artificial generativa (IAGen) en el proceso de Diseño Centrado en el Usuario (DCU). Esta práctica surge ante la necesidad de evitar un uso inadecuado o poco crítico de estas herramientas por parte del alumnado, promoviendo en su lugar una integración fundamentada, ética y coherente con los principios del DCU. La experiencia se estructura en torno a seis prácticas de evaluación continua que abarcan las distintas fases del diseño, desde la identificación de necesidades hasta la elaboración y evaluación de prototipos, incorporando ejemplos de uso de IAGen y pautas específicas para orientar al estudiantado. A lo largo del proceso, el alumnado debía documentar el uso de estas herramientas y reflexionar sobre las decisiones tomadas. Los resultados han sido moderadamente positivos: si bien se ha constatado un uso funcional de la IAGen como apoyo en tareas concretas, también se ha identificado una preocupante falta de pensamiento crítico y escasa capacidad para documentar adecuadamente su aplicación. La propuesta demuestra que ignorar o prohibir el uso de estas herramientas no resulta realista ni formativo; en cambio, su incorporación guiada puede contribuir al desarrollo de competencias clave como la toma de decisiones fundamentadas, la reflexión sobre el proceso de diseño y el uso responsable de la tecnología.
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    Chatbot ético y supervisado para la enseñanza de UML: Una experiencia en Ingeniería del Software
    (Universidad de Salamanca. Instituto Universitario de Ciencias de la Educación, 2025-10-31) Vázquez-Ingelmo, Andrea; García-Holgado, Alicia; García-Peñalvo, Francisco José; Therón-Sánchez, Roberto; Conde-González, Miguel Ángel
    Esta buena práctica presenta el diseño, implementación y evaluación de un sistema basado en inteligencia artificial para apoyar el aprendizaje del modelado conceptual con diagramas de clases UML. Desarrollado en dos asignaturas del Grado en Ingeniería Informática de la Universidad de Salamanca (curso 2024-2025), el sistema funciona de forma local, ética y segura, mediante un chatbot especializado supervisado por el profesorado. Su objetivo es ofrecer un entorno interactivo que facilite la comprensión del modelado UML, promoviendo el razonamiento autónomo y la reflexión crítica sobre el uso de la IA. La herramienta permite generar enunciados, subir soluciones en imagen y recibir retroalimentación asíncrona, todo de forma anónima y en servidores institucionales. Durante la fase piloto, se registraron 110 mensajes de 13 estudiantes, con resultados positivos en facilidad de uso y potencial de adopción según la escala SUS. Sin embargo, se identificaron desafíos técnicos (sobrecarga, errores en español) y una baja adhesión a los requisitos de trazabilidad en el uso de IA. La experiencia evidencia la importancia de reforzar la alfabetización digital crítica, aclarar el alcance funcional y acompañar pedagógicamente el uso de estas herramientas.
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    From spreadsheets to interfaces: redesigning clinical variable definition through interactive workflows
    (CEUR-WS.org, 2025-09-03) Vázquez-Ingelmo, Andrea; Nieto-Campo, Islem Román; García-Holgado, Alicia; García-Peñalvo, Francisco José; Sánchez-Puente, Antonio; Sánchez, Pedro L.
    Spreadsheets remain a common but fragile foundation for clinical data management, often leading to errors and inefficiencies in defining and collecting structured variables. This paper presents a user-centered redesign of the variable definition workflow in a platform for managing structured clinical data and medical images. The proposed solution replaces manual spreadsheet-based schema creation with an interactive web interface that enables users to define, categorize, and reuse variables more effectively. It also introduces automated generation of validated spreadsheet templates based on the platform’s internal schema, reducing the likelihood of formatting and semantic errors during data entry. A revised workflow illustrates the improved process, and the system addresses key usability issues previously identified through heuristic evaluations. Remaining limitations, such as continued reliance on offline data entry, are discussed, along with future work directions that include usability validation and AI-assisted variable generation.