Examinando por Autor "Retegi Uria, Aiur"

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    Ítem
    Climate adaptation in urban space: the need for a transdisciplinary approach
    (Frontiers Media SA, 2025-03-25) Lenzi, Sara; Sádaba Fernández, Juan Antonio; Retegi Uria, Aiur
    Climate change demands innovative and holistic approaches to urban design that address both the tangible and intangible challenges posed by a rapidly evolving environment. This article explores the necessity of a transdisciplinary approach to climate adaptation in urban spaces, emphasizing the integration of architecture, social innovation, more-than-human design, and multisensory analysis. We examine the current approaches and controversies of architectural and urban solutions to climate adaptation. Drawing on the state-of-the-art from key fields, we discuss the potential of Nature-based Solutions, co-creation practices, and multimodal design to create adaptive urban spaces that address the physical, emotional, and social needs of human and more-than-human inhabitants. The article reviews emerging frameworks and case studies, including climate shelters, biodiversity-inclusive design, and the integration of soundscapes and smellscapes, to demonstrate the importance of considering diverse perspectives and stakeholders. By synthesizing these findings, we propose an integrated design framework for climate adaptation that moves beyond traditional architectural approaches by overlapping intangible layers of social awareness, ecological diversity, and cultural sensitivity
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    Exploring the application of the FOX model to foster pro-environmental behaviours in smart environments
    (MDPI AG, 2020-08-14) Irizar Arrieta, Ane; Casado Mansilla, Diego; Retegi Uria, Aiur; Laschke, Matthias; López de Ipiña González de Artaza, Diego
    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 opens a research opportunity, which should be tackled to improve the development of human-centric systems and processes. Throughout the present piece of research, our objective is to bridge that gap by extracting knowledge and insights relating to how to address user diversity when designing technologies considering sustainable behaviour. For this, we explore the possibilities of the FOX model—an early meta-model to approach the diversity of individuals when addressing pro-environmental behaviour—to classify and understand individuals while taking their heterogeneity into account. After introducing the model, a qualitative survey of eight experts is conducted. From this study, relevant findings are analysed and exposed. Taking into account the gathered knowledge, three user profiles are developed, based on the dimensions proposed by the model. Furthermore, scenarios are created for each profile, presenting three case studies where different application modes of the model are described (personalised interventions, prediction and forecasting, and individual and collective interventions). Finally, the extracted findings are analysed, discussing the main issues related to the development of pro-environmental technologies and systems.
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    Ítem
    User perspectives in the design of interactive everyday objects for sustainable behaviour
    (Academic Press, 2020-01-03) Irizar Arrieta, Ane; Casado Mansilla, Diego; Garaizar, Pablo; López de Ipiña González de Artaza, Diego; Retegi Uria, Aiur
    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 are proposed. However, the majority of them overlooks the role of human beings in the equation. Moreover, the very nascent body of research combining human and machine intelligence proposes methods, frameworks, and guidelines which vary depending on the application scenario complicating the selection of gold-standards to ensure seamless cooperation between smart devices and people. Hence, the purpose of this paper is to provide a set of design-hypotheses to devise augmented objects that ally with their users to reduce energy consumption. We expect designers, engineers, makers or even hobbyists in the intersection between technology-enablers (through IoT) and behavioural scientists to benefit from them. To this aim, we describe the results of a long-term study in office-based workplaces, where participants were randomly assigned to different experimental conditions (persuasion, dashboard, and automation) to increase their energy-efficient behaviour. Grounded Theory analysis was applied over qualitative data collected during focus group sessions obtaining five themes around a central category. The resulting themes were linked to design-hypotheses for IoT devices which were then tested through the implementation of a new IoT object also conceived for the workplace.