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Engineering Methods for HCI and UX in AI-Driven Systems
No full textThe growing integration of Artificial Intelligence (AI) into interactive systems presents unique challenges and opportunities for Human-Computer Interaction (HCI) and User Experience (UX). While AI can enhance usability and provide novel interaction paradigms, it also raises concerns related to transparency, control, and user trust. This workshop seeks to bring together researchers and practitioners to discuss state-of-the-art engineering methods that support HCI and UX in AI-driven systems. By fostering interdisciplinary collaboration, we aim to identify key challenges, share best practices, and develop a roadmap for future research in this critical area
System realizations by mammillary models with an application to propofol pharmacokinetics
No full textThis work addresses the problem of linear system realizations by mammillary and mammillary-like models, offering necessary and sufficient conditions under which a given transfer function can be represented in this form. Compartmental models, particularly mammillary ones, reflect the physiological dynamics of distribution and elimination. This is especially relevant in clinical pharmacology, where model parameters correspond to meaningful biological processes to support interpretability, personalization, and safe drug delivery, such as in total intravenous anesthesia. To conclude, an application to a propofol infusion model illustrates how mammillary realizations can support physiologically interpretable system representations
Regularised Loss Function for Goal Recognition as a Deep Learning Task
Full text linkGoal Recognition (GR) consists of recognising the goal of an agent from partial observations. The state of the art on particular planning domains is represented by GRNet, a model based on Recurrent Neural Networks that solves GR as a classification task. Compared to automated planning, the need for large training sets is the main disadvantage of these approaches. Therefore, we formalise a loss regularisation technique to reduce the number of training samples needed, to reduce the convergence time, and to increase the performance in GR instances with a small percentage of observations. We empirically evaluate its effectiveness through extensive experiments
"From State Sovereignty to Human Rights: The Evolving Legal Framework of Citizenship in International Law”
No full textThis paper traces the evolution of nationality from a traditional expression of State sovereignty to a matter of international human rights concern. Historically governed by domestic jurisdiction, citizenship law underwent a profound transformation after the Second World War, when the human cost of denationalization and statelessness led to the recognition of nationality as a fundamental right in Article 15 of the Universal Declaration of Human Rights. Building on the 1954 and 1961 Statelessness Conventions, international law increasingly limits State discretion in nationality matters to safeguard human dignity and prevent exclusion. The analysis explores how refugees and stateless persons continue to face systemic marginalization in the absence of citizenship, despite robust legal frameworks. Central to the discussion is the emergence of the ius nexi principle, which redefines citizenship as grounded in genuine social and personal connections rather than formal criteria of birth or descent. Drawing on jurisprudence from the ICJ, ECtHR, CJEU, and national constitutional courts, the paper argues that ius nexi offers a substantive, human-centered approach to belonging and inclusion. However, it also highlights the risks of indeterminacy and uneven application, underscoring the need for shared legal standards to ensure fairness and prevent arbitrariness in contemporary citizenship regimes
High-temperature electrochemical converter as advanced power cycle in small scale heat recovery applications
No full textSelective and sustainable recovery of lithium from black mass via microwave and green leaching techniques
No full textThe growing demand for lithium-ion batteries (LIBs) has intensified the need for efficient and sustainable recycling processes to recover critical metals such as lithium, cobalt, Ni, and Mn from spent batteries. This study presents a novel microwave-assisted pyrometallurgical-hydrometallurgical approach for the selective and high-yield recovery of Li and from industrial black mass (BM). The process integrates microwave-induced carbothermic reduction with a two-step leaching strategy, water leaching for Li2CO3 recovery and deep eutectic solvent (DES)-based leaching for Co, Ni, and Mn extraction. Advanced characterization techniques (SEM/EDS, ICP, XRD) confirmed the selective separation of metals. In the optimized version, the proposed process allowed up to 85% Li efficiency. A sustainability assessment using the ESCAPE index demonstrated the environmental advantages of this method over conventional acid-based hydrometallurgy. This scalable and eco-friendly process offers a suitable pathway for Li recovering from spent LIBs, aligning with circular economy principles and future industrial implementation
Engaging Citizens in Public Transit Choice: Insights from Vietnam and Italy
No full textRecently, Multi-Criteria Decision-Making methods (MCDMs) have become increasingly relevant in public transport planning, offering structured ways to assess complex alternatives that involve both technical and human-centered criteria. Despite their widespread use, previous studies have often overlooked the involvement of citizens in the decision-making process. Moreover, the wide variety of available MCDMs can pose challenges in selecting the most appropriate method for a given context. To address these gaps, this study introduces an integrated framework that combines five MCDM techniques: AHP, SAW, TOPSIS, VIKOR, and PROMETHEE II. The approach incorporates both expert assessments and user preferences to provide a comprehensive assessment of transit alternatives. Applied to two case studies, Ho Chi Minh City (Vietnam) and Brescia (Italy), the framework highlighted how citizen input can meaningfully contribute to public transport planning while also enabling the comparison of methodologi..
Design of Gamified Training in Waste Management Plants: The SOHS Project
No full textKeeping workers safe and healthy is good not only for them but also for business. Strong occupational safety and health (OSH) programs can boost a company’s competitiveness and productivity. However, OSH also plays a big role in environmental and social well-being. This connection between being green and keeping workers safe is especially tricky when it comes to green jobs. The number of workers in the fast-growing waste management sector is skyrocketing, so new safety considerations must be addressed. Waste treatment workers are exposed to a combination of risks (chemical, biological, biomechanical, and psychosocial), and very little is known about the possible interactions that may increase or decrease the overall workers’ health. Innovative and highly engaging methods are needed to effectively train employees on the risks. In this paper, we present the preliminary results of the SOHS Project that aims to perform a multidimensional occupational risk assessment, define the corresponding risk scenarios, and design and develop a prototype of a gamified tool to offer an engaging training experience. The project applies Human Work Interaction Design (HWID) principles and techniques to ensure that the design aligns with the workers’ context, supporting effective interaction between employees and the training system. By embedding HWID principles, the training system balances technology-driven risk insights with the workers’ expertise and experience, fostering meaningful engagement while enhancing safety outcomes
Assessing stakeholder engagement to the EU strategy for sustainable and circular textiles: A Systematic review integrating stakeholder and institutional theories
Full text linkThe European Union Strategy for Sustainable and Circular Textiles introduces a policy framework to guide the textile sector towards circularity by 2030. Grounded in Stakeholder and Institutional Theories, this study analyzes how stakeholder responses to coercive, normative, and mimetic pressures influence the potential effectiveness of the Strategy. A PRISMA-based systematic literature review and content analysis of 175 peer-reviewed articles was conducted to classify thematic priorities, stakeholder coverage, and theoretical foundations. Findings strongly emphasize the role of downstream actors, particularly consumers, brands and retailers, while upstream stakeholders receive limited attention. This imbalance appears driven by two factors: the greater accessibility of downstream actors to researchers and their prominence in prevailing sustainability narratives. Strategic actions related to consumer empowerment and business model innovation are frequently discussed, whereas regulatory and production-oriented interventions are comparatively underexplored. The study also identifies differentiated compliance behaviors across stakeholder groups, shaped by their position in the value chain and the institutional pressures they encounter. Downstream actors adopt proactive or strategic responses, while upstream stakeholders often engage reactively, constrained by resource limitations and weaker integration into sustainability dialogues. By clarifying how institutional pressures interact with stakeholder positioning, this review contributes to a more granular understanding of policy alignment in the textile sector. It underscores the need for more inclusive governance approaches that account for underrepresented actors and support the balanced implementation of the EU Strategy for Sustainable and Circular Textiles across all tiers of the value chain