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  • Journal article
    Asher GN, Viswanathan M, Takyi A, Middleton JC, Baker C, Kahwati LCet al., 2025,

    Screening for Syphilis Infection During Pregnancy Updated Evidence Report and Systematic Review for the US Preventive Services Task Force

    , JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, Vol: 333, Pages: 2015-2017, ISSN: 0098-7484
  • Journal article
    Jagtap SS, Childs PRN, Stettler MEJ, 2025,

    Comparative life cycle evaluation of alternative fuels for a futuristic subsonic long-range aircraft

    , Sustainable Production and Consumption, Vol: 56, Pages: 431-446, ISSN: 2352-5509

    Liquid hydrogen (LH2) and 100 % synthetic paraffinic kerosene (SPK), or sustainable aviation fuel (SAF), represent viable alternatives to conventional Jet-A for long-haul aviation, provided they are produced via pathways enabling net-zero well-to-wake (WTWa) emissions. This study evaluates the WTWa performance, including non-CO2 emissions, of a blended wing body aircraft (300 passengers, 13,890 km range) powered by either LH2 or 100 % SPK. Use-phase emissions are quantified, and fuel production impacts are assessed using the GREET model. Analysis of over 100 production pathways reveals that LH2 can achieve net-zero or negative WTWa CO2-equivalent emissions when produced from biomass or integrated fermentation with carbon sequestration. Non-CO2 emissions are shown to contribute significantly to WTWa impacts. When miscanthus is used as a feedstock, 100 % SPK reduces WTWa CO2-equivalent emissions by 70–85 % compared to Jet-A. A high-level supply analysis indicates that SAF and hydrogen production in 2050 could meet the energy demands of long-haul aviation, assuming a 4 % annual traffic growth rate and full adoption of these fuels. These findings provide critical insights to guide R&D investments, fuel cost analyses, and aviation policy development for sustainable long-haul aviation.
  • Journal article
    Poole KC, Cappotto D, Martin V, Sztandera J, Chait M, Picinali L, Shiell Met al., 2025,

    Assessing behavioral and neural correlates of change detection in spatialized acoustic scenes

    , Hearing Research, Vol: 462, ISSN: 0378-5955

    The ability to detect changes in complex auditory scenes is crucial for human survival, yet the neural mechanisms underlying this process remain elusive. This study investigates how the presence and location of sound sources impacts active auditory change detection as well as neural correlates of passive change detection. Stimuli were naturalistic temporal envelopes applied to synthesized broadband carriers designed to eliminate semantics and minimize contextual information while preserving naturalistic temporal envelopes and broadband spectra, presented in a spatial loudspeaker array. Behavioral change detection experiments tasked participants with detecting new sources added to spatialized and non-spatialized multi-source auditory scenes. In a passive listening experiment, participants were given a visual decoy task while neural data were collected via electroencephalography (EEG) during exposure to unattended spatialized scenes and added sources.Our two behavioral experiments (N = 21 and 21) demonstrated that spatializing sounds facilitated change detection compared to non-spatialized presentation, but that performance declined with increasing number of sound sources and higher hearing thresholds at mid-high frequencies, exclusively in spatialized conditions. Slower reaction times were also observed when changes occurred from above or behind the listener, exacerbated by a higher number of sources. Two EEG experiments (N = 32 and 30), using the same stimuli, showed robust change-evoked responses. However, no significant differences were detected in our analysis as a function of spatial location of the appearing source. These findings provide fresh insights into the mechanisms of spatial auditory change detection, emphasizing the dynamic interplay of spatial cues, change location, and scene complexity.
  • Journal article
    Pandey SR, Pinson P, Popovski P, 2025,

    Privacy-Aware Data Acquisition Under Data Similarity in Regression Markets

    , IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Vol: 36, Pages: 10580-10591, ISSN: 2162-237X
  • Journal article
    Grimaldi RA, Astolfi A, 2025,

    Exact Penalizations for Optimal Control Problems

    , IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 70, Pages: 4101-4108, ISSN: 0018-9286
  • Conference paper
    Zhou B, Liu M, Bian S, Geiβler D, Lukowicz P, Miranda J, Dan J, Atienza D, Riahi MA, Wehn N, Torah R, Yong S, Liu J, Beeby S, Kohler M, Greinke B, Yu J, Nierstrasz V, Sheldrick L, Stewart R, Nieri T, Maccanti M, Spinelli Det al., 2025,

    Multi-partner project: Sustainable Textile Electronics (STELEC)

    , DATE 2025, Publisher: IEEE, Pages: 1-5

    E-textiles are rapidly emerging as an important area of electronic circuit applications. It also facilitates many socially important applications such as personalized health, elderly care, and smart agriculture. However, the environmental impact and sustainability of e-textiles remain very problematic. STELEC, short for Sustainable Textile ELECtronics, is an interdisciplinary research project funded by the European Innovation Council (EIC) under the Pathfinder programme on the responsible elec-tronics topic seeking cutting-edge innovation. STELEC started in September 2024 and is in its initial stage. The project is a multinational collaboration of research institutes, universities and companies across Europe. It aims at developing next-generation textile-based electronics in applications from sensing, processing to AI, with a commitment to full lifecycle sustainability.
  • Journal article
    Yang D, Hu Y, Liu S, Yang W, Ren X, Li Y, Xu F, Gong M, Zhao Y, Qiu X, Hou Het al., 2025,

    Synthesis and assembly strategy of electroactive biomaterials and systems for soft tissue engineering applications

    , Chem, ISSN: 2451-9294

    Soft tissue injuries are a common issue affecting human health, and the extent and duration of injuries often constrain the healing process. Electroactive biomaterials have become a key medium for tissue regeneration by modulating cellular behavior, but a systematic evaluation of their potential and challenges is still limited. This review comprehensively explores electroactive biomaterials, focusing on their chemical synthesis, assembly processes, application potential, challenges faced, and future directions. First, this work elaborates on the unique and innovative features of electroactive biomaterials’ chemical synthesis and preparation techniques. Subsequently, the principles of electroactive devices and their interactions with biological tissues are described to optimize tissue repair. Finally, the application prospects of electrical stimulation technology in soft tissue engineering are explored, emphasizing its role in cell and tissue regeneration and its clinical potential. In conclusion, this review provides theoretical and practical insights into the development and application of electroactive biomaterials.
  • Journal article
    Davies B, Szyniszewski S, Dias MA, de Waal L, Kisil A, P Smyshlyaev V, Cooper S, Kamotski IV, Touboul M, Craster RV, Capers JR, Horsley SAR, Hewson RW, Santer M, Murphy R, Thillaithevan D, Berry SJ, Conduit GJ, Earnshaw J, Syrotiuk N, Duncan O, Kaczmarczyk Ł, Scarpa F, Pendry JB, Martí-Sabaté M, Guenneau S, Torrent D, Cherkaev E, Wellander N, Alù A, Madine KH, Colquitt DJ, Sheng P, Bennetts LG, Krushynska AO, Zhang Z, Mirzaali MJ, Zadpoor Aet al., 2025,

    Roadmap on metamaterial theory, modelling and design

    , Journal of Physics D: Applied Physics, Vol: 58, ISSN: 0022-3727

    This Roadmap surveys the diversity of different approaches for characterising, modelling and designing metamaterials. It contains articles covering the wide range of physical settings in which metamaterials have been realised, from acoustics and electromagnetics to water waves and mechanical systems. In doing so, we highlight synergies between the many different physical domains and identify commonality between the main challenges. The articles also survey a variety of different strategies and philosophies, from analytic methods such as classical homogenisation to numerical optimisation and data-driven approaches. We highlight how the challenging and many-degree-of-freedom nature of metamaterial design problems call for techniques to be used in partnership, such that physical modelling and intuition can be combined with the computational might of modern optimisation and machine learning to facilitate future breakthroughs in the field.
  • Conference paper
    Yin Y, Childs P, 2025,

    An EEG study to understand semantic and episodic memory retrieval in creative processes

    , Design 2024
  • Journal article
    Qian Q, Wang Y, Boyle D, 2025,

    Adaptive Probabilistic Planning for the Uncertain and Dynamic Orienteering Problem

    , IEEE INTERNET OF THINGS JOURNAL, Vol: 12, Pages: 13988-14001, ISSN: 2327-4662
  • Journal article
    Guo H, Xiao Y, Pinson P, Wang X, Zhang L, Wang Xet al., 2025,

    A negotiation-based incentive mechanism for efficient Transmission Expansion Planning considering generation investment equilibrium in deregulated environment

    , APPLIED ENERGY, Vol: 386, ISSN: 0306-2619
  • Conference paper
    Boguslavskiy M, Chappell D, Nanayakkara T, 2025,

    Towards passively actuated short-range telehaptics for astronauts

    , SpaceCHI 4.0 at the European Astronaut Centre, Publisher: Schloss Dagstuhl

    Human extra-vehicular activity (EVA) plays a vital role in current and near future space exploration for two reasons: the superior dexterity exhibited by human astronauts, and their flexible problem-solving and decision-making capabilities. However, the dexterity of astronauts during EVA is limited by the flexibility and tactility of their EVA suit gloves, which are primarily designed to provide thermal insulation and pressure for the hand. This creates a compromise between utility and protection. To address this compromise, a Passively Actuated Short-range Telehaptic (PAST) device is proposed. The PAST device couples the motion of fingers between a robotic hand and a human hand through a hydraulically actuated linkage. It also transfers tactile information, including pressure, direction of motion, and position of contact, via a taxel array. Results demonstrate that the proposed prototype PAST device surpasses an unpressurised benchmark heavy work glove(HWG) in tasks involving tactile position and motion direction identification. This provides evidence supporting the feasibility of enhancing astronaut dexterity during EVA through the use of PAST devices as an alternative paradigm to gloves.
  • Journal article
    Deady M, Collins DAJ, Glozier N, Gardiner E, Arena A, Gayed A, Bryant R, Calvo RA, Harvey SBet al., 2025,

    Naturalistic evaluation of HeadGear: a smartphone app to reduce depressive symptoms in workers

    , Behavior Therapy, Vol: 56, Pages: 529-542, ISSN: 0005-7894

    Mobile health (mHealth) apps have the potential to expand access to evidence-based interventions for mental health conditions, including depression. HeadGear was developed to prevent depression and improve well-being among the working population and was associated with significant positive effects in an efficacy trial. This study presents the results from a naturalistic trial intended to evaluate real-world usage of the app. We examined the naturalistic use of HeadGear between March 2019 and March 2022, using app analytic data, in-app event data, and surveys assessing depressive symptoms, well-being, and work performance repeated at 30-day intervals over 5-month app usage. During the observation period, HeadGear was widely disseminated to the public, and downloaded 26,455 times. Of those who downloaded the app, 12,995 completed baseline. The mean age of users was 38.23 (SD = 12.39) and 60% were women. Approximately one in four met criteria for probable depression at baseline. Depressive symptoms showed consistent improvement at all time points (Cohen’s d ranging from 0.24 at 1 month to 0.13 at 5 months). A similar pattern emerged for well-being. Work performance showed improvement to 2-month follow-up only. The strongest change was found for those with greater symptom severity at baseline, and those with high app engagement. Attrition at follow-up points was high. Findings regarding the real-world use of HeadGear are promising and highlight the use of such apps among those with higher symptom severity (despite the intended use of the app as a prevention tool). Further work is required to tailor mHealth apps to reach their full potential through an enhanced understanding of the utility of individual features for effectiveness and engagement.
  • Journal article
    Chen L, Xiao S, Chen Y, Sun L, Childs PRN, Han Jet al., 2025,

    An artificial intelligence approach for interpreting creative combinational designs

    , Journal of Engineering Design, Vol: 36, Pages: 920-947, ISSN: 0954-4828

    Combinational creativity, a form of creativity involving the blending of familiar ideas, is pivotal in design innovation. While most research focuses on how combinational creativity in design is achieved through blending elements, this study focuses on the computational interpretation, specifically identifying the ‘base’ and ‘additive’ components that constitute a creative design. To achieve this goal, the authors propose a heuristic algorithm integrating computer vision and natural language processing technologies, and implement multiple approaches based on both discriminative and generative artificial intelligence architectures. A comprehensive evaluation was conducted on a dataset created for studying combinational creativity. Among the implementations of the proposed algorithm, the most effective approach demonstrated a high accuracy in interpretation, achieving 87.5% for identifying ‘base’ and 80% for ‘additive’. We conduct a modular analysis and an ablation experiment to assess the performance of each part in our implementations. Additionally, the study includes an analysis of error cases and bottleneck issues, providing critical insights into the limitations and challenges inherent in the computational interpretation of creative designs.
  • Journal article
    Demirel P, Kesidou E, Gamze Ozturk D, 2025,

    IT-enabled organisational transformation and green employment growth in microfirms

    , Business Strategy and the Environment, Vol: 34, Pages: 5031-5058, ISSN: 0964-4733

    In this paper, we explore whether IT-enabled organisational transformation (ITOT) moderates the relationship between eco-innovation and the growth performance of microfirms. Our framework conceptualises ITOT in microfirms as a multistage process that includes: (i) setting a digitalisation strategy, (ii) adopting advanced information systems technology (IST) artefacts and (iii) developing in-house digital resources and capabilities. The analysis of a sample of 5015 microfirms from 39 countries indicates that eco-innovations boost firm growth when coupled with (i) a formalised digitalisation strategy, (ii) adoption of advanced IST artefacts (e.g., digital technologies that characterise Industry 4.0) and (iii) digital resources and capabilities in microfirms. These findings contribute to the growing digitalisation literature by highlighting the essential role that ITOT processes play in enabling sustainability-led growth pathways for microfirms. The paper advocates for the viability and performance benefits of a twin digital and ecological transformation and showcases the potential of ITOT for an economically successful net-zero transition that embraces microfirms.
  • Journal article
    Caspe F, Shier J, Sandler M, Saitis C, McPherson Aet al., 2025,

    Designing Neural Synthesizers for Low-Latency Interaction

    , JOURNAL OF THE AUDIO ENGINEERING SOCIETY, Vol: 73, ISSN: 1549-4950
  • Journal article
    Ikeya K, Guerrero-Gonzalez FJ, Kiewiet L, Cardin M-A, Cilliers J, Starr S, Hadler Ket al., 2025,

    Hybrid lunar ISRU plant: A comparative analysis with carbothermal reduction and water extraction

    , ACTA ASTRONAUTICA, Vol: 230, Pages: 148-168, ISSN: 0094-5765
  • Journal article
    Moreschini A, Astolfi A, 2025,

    Closed-Loop Interpolation by Moment Matching for Linear and Nonlinear Systems

    , IEEE TRANSACTIONS ON AUTOMATIC CONTROL, Vol: 70, Pages: 2918-2933, ISSN: 0018-9286
  • Journal article
    Ballou N, Hakman T, Vuorre M, Magnusson K, Przybylski AKet al., 2025,

    How do video games affect mental health? A narrative review of 13 proposed mechanisms

    , Technology, Mind, and Behavior, Vol: 6, Pages: 123-143, ISSN: 2689-0208

    Researchers have proposed a variety of mechanisms through which playing video games might affect mental health by displacing more psychosocially beneficial activities, satisfying or frustrating basic psychological needs, relieving stress, and many more. However, these mechanisms and their underlying causal structures are rarely made explicit. Here, we review 13 proposed effects of gaming on mental health. For each, we specify a counterfactual—that is, what concrete aspect of gaming should be changed in a hypothetical alternative universe to produce the effect of interest—and illustrate these with example directed acyclic graphs. In doing so, we hope to encourage more focused efforts to propose, falsify, and iterate on (causal) theories using well-established formal methods of causal inference. Only in doing so can the field realize its potential to inform clinical interventions, regulation, game design, and the behavior of players and parents.
  • Journal article
    Frade JLH, Giraldi JDME, Porat T, 2025,

    The country-of-origin effect on vaccination: a systematic literature review and research agenda

    , Management Review Quarterly, ISSN: 2198-1639

    The COVID-19 pandemic raised awareness and concerns regarding the country-of-origin of vaccines. During this period, we witnessed the emergence of a country-of-origin effect in vaccination perceptions. The country-of-origin effect is a well-documented marketing phenomenon where the origin country of a product influences consumer decisions, brand associations, and evaluations. To investigate this phenomenon, a systematic literature review was conducted using Scopus database, employing a diverse array of search terms. The review identified 52 articles that examined the country-of-origin effect on vaccination. These studies fall under different subject fields, such as Medicine and Social Science, and were published across 39 different journals, confirming the interdisciplinary nature of the topic. Moreover, the studies covered 48 countries, with some being multicultural. The results reveal the presence of a national bias, a preference for Western vaccines, distrust towards Chinese and Russian vaccines, and the impact of demographic factors, such as gender, age, and income. The national bias was observed across at least 17 countries, such as USA, China, UK, Germany, Turkey and Iran. It persists even in countries without early COVID-19 vaccine development (e.g., Brazil, Ghana, Japan, South Korea, Spain and Taiwan). The preference for Western vaccines and distrust towards Chinese and Russian vaccines was observed across diverse regions including Europe (e.g., France), Latin American (e.g., Brazil), Eastern Europe (e.g., Hungary), the Middle East (e.g., Turkey, Israel), and Asia (e.g., Japan). The authors discuss potential underlying reasons, implications for policy makers and health management, and propose a comprehensive agenda for future research, including the role of politics, media, endorsements, and other vaccines and medications.
  • Conference paper
    Yurman P, Malpass M, Balaam M, Zheng CY, Luft Y, Mougenot C, Lupetti MLet al., 2025,

    Maternal Machines: Imagining Experiences in Perinatal Care

    Perinatal care is a term that broadly refers to the period of time from pregnancy up to a year after giving birth. Imaginaries, fictional scenarios, patents and actual designs to support affected stakeholders during this period reflect how this topic has for a long time fed into society’s dreams, fears and desires about care. Smart monitors of infants’ sleep, respiration, heart rate or temperature, cots with facial recognition, swing chairs that are ‘Alexa compatible’, chatbots for postpartum depression, ‘maternal’ Alexas or nanny robots are examples of the potentials that this topic offers for imagining scenarios for care and wellbeing. Often rich with insights about societal dreams, fears and desires about what we would like technologies to do for us, imagined scenarios can also indicate ways in which we regard those already engaged in roles of care, echoing cultural and gendered tropes. As AI and related technologies increasingly become entangled in situations of care, the imagined possibilities in contexts of such complex, sensitive and emotionally charged spaces are worth examining, whilst interrogating how HCI technologies in perinatal care could expand beyond quantifiable data and tap into sensorial, non-numerical forms of knowledge. In this workshop, we will look at ideated scenarios with technologies related to maternal and infant care in contemporary, historical and cultural contexts including those from Japan, and we will create our own imagined scenarios of care. Through a mixture of activities that include presentations, drawing, hands-on interactions and group conversations we will discuss opportunities and implications in the design of technologies for maternal/parental and infant care around the perinatal period. Our imagined scenarios will explore in particular two interrelated themes in the research: non-numerical forms of knowledge and touch.
  • Conference paper
    Chen L, Cheang W, Jiang Z, Xu Y, Cai Z, Sun L, Childs P, Han J, Hansen P, Zuo Het al., 2025,

    I-Card: a generative AI-supported intelligent design method card deck

    , 2025 Conference on Human Factors in Computing Systems-CHI, Publisher: Association for Computing Machinery, Pages: 1-22

    A design method card deck helps designers understand and provoke thinking by presenting each method in a simple format and allow designers to switch between methods seamlessly by maintaining the same simple format across the deck. However, recent observations have shown designers hesitate to use a card deck due to the lack of support, while other tools have provided identified support with generative AI. Through a formative study, we identified the specific support designers need when applying the design method cards and intentions in integrating generative AI. Accordingly, we developed the intelligent design method card deck, I-Card, which integrates generative AI to provide applicable design methods, design knowledge and data support, and interactive and dynamic support. A user study demonstrates that I-Card improved the design efficiency and applicability by offering personalized guidance, enhanced decision-making with comprehensive data generation and provided more design inspiration via interactive support.
  • Journal article
    Arana-Catania M, Sonee A, Khan A-M, Fatehi K, Tang Y, Jin B, Soligo A, Boyle D, Calinescu R, Yadav P, Ahmadi H, Tsourdos A, Guo W, Russo Aet al., 2025,

    Explainable reinforcement and causal learning for improving trust to 6G stakeholders

    , IEEE Open Journal of the Communications Society, Vol: 6, Pages: 4101-4125, ISSN: 2644-125X

    Future telecommunications will increasingly integrate AI capabilities into network infrastructures to deliver seamless and harmonized services closer to end-users. However, this progress also raises significant trust and safety concerns. The machine learning systems orchestrating these advanced services will widely rely on deep reinforcement learning (DRL) to process multi-modal requirements datasets and make semantically modulated decisions, introducing three major challenges: (1) First, we acknowledge that most explainable AI research is stakeholder-agnostic while, in reality, the explanations must cater for diverse telecommunications stakeholders, including network service providers, legal authorities, and end users, each with unique goals and operational practices; (2) Second, DRL lacks prior models or established frameworks to guide the creation of meaningful long-term explanations of the agent’s behaviour in a goal-oriented RL task, and we introduce state-of-the-art approaches such as reward machine and sub-goal automata that can be universally represented and easily manipulated by logic programs and verifiably learned by inductive logic programming of answer set programs; (3) Third, most explainability approaches focus on correlation rather than causation, and we emphasise that understanding causal learning can further enhance 6G network optimisation. Together, in our judgement they form crucial enabling technologies for trustworthy services in 6G. This review offers a timely resource for academic researchers and industry practitioners by highlighting the methodological advancements needed for explainable DRL (X-DRL) in 6G. It identifies key stakeholder groups, maps their needs to X-DRL solutions, and presents case studies showcasing practical applications. By identifying and analysing these challenges in the context of 6G case studies, this work aims to inform future research, transform industry practices, and highlight unresolved gaps in this rapidly
  • Journal article
    Corbett F, Van Zalk N, 2025,

    Speech perception and hearing outcomes following pediatric bilateral cochlear implants: a scoping review of developmental contextual influences

    , Frontiers in Audiology and Otology, Vol: 3, ISSN: 2813-6055

    Introduction: Bilateral cochlear implantation is the typical intervention for children with severe-to-profound sensorineural hearing loss, but speech perception and hearing outcomes remain variable. This scoping review explores which contextual factors relate to speech perception and hearing outcomes following pediatric bilateral cochlear implantation based on themes aligned with Bronfenbrenner's bioecological systems theory: (1) individual; (2) microsystem; (3) mesosytem; (4) exosystem; (5) macrosystem; and (6) chronosystem.Method: PRISMA-ScR guidelines were followed to systematically search nine electronic databases with a keyword strategy. Eligible studies were published in English and included an analysis of contextual factors in relation to a behavioral speech perception or hearing outcome measure. Study quality was assessed using Quality Assessment with Diverse Studies (QuADS) criteria and the role of contextual factors in outcomes was explored with a narrative synthesis approach.Results: Twenty-three research articles met the criteria for inclusion. Contextual factors identified ranged from the proximal to distal context. Contextual factors such as non-verbal cognitive ability, social skills, cochlear implant usage, positive parent-child interactions, educational placement, auditory or oral therapy, ethnicity and prematurity were related to cochlear implant outcomes.Discussion: Relationships between contextual factors and outcomes were not consistent across developmental time or studies. Study quality and methodological limitations are discussed. Research on outcomes related to bilateral cochlear implantation should actively integrate and examine contextual factors in prospective, longitudinal designs. This approach will facilitate the development of interventions to target specific levels of the bioecological system, thereby improving outcomes for the pediatric bilateral cochlear implant recipient.
  • Journal article
    Lim V, Khan S, Picinali L, 2025,

    Towards a more accessible cultural heritage: challenges and opportunities in contextualization using 3D sound narratives

    , Applied Sciences, Vol: 11, ISSN: 2076-3417

    This paper reports on the exploration of potential design opportunities for social media and technology to identify issues and challenges in involving people in generating content within a cultural heritage context. The work is divided into two parts. In the first part, arguments are informed by findings from 22 in-depth semi-structured interviews with representatives of cultural institutions and with people from a general audience who recently participated in a cultural activity. The key findings show that social media could be used more extensively to achieve a deeper understanding of cultural diversity, with opportunities in redefining the expert, extending the experience space, and decentralising collaboration. To further support these findings, a case study was set up evaluating the experience of a mini audio tour with user-generated (i.e., personal stories from a local audience) vs. non user-generated (i.e., professional stories including facts) narratives. These were delivered using text and 3D sound on a mobile device. The narratives were related to a built environment in central London near world-renown museums, cultural buildings, and a royal park. Observations, a standardised spatial presence questionnaire, and a short open interview at the end of the tour were used to gain insights about participants preferences and overall experience. Thematic analysis and triangulation were used as a means for understanding and articulating opportunities for social media to better involve and engage people using user-generated narratives presented through 3D sound.
  • Book chapter
    Hazeri K, Childs P, 2025,

    Extension of the Consensual Assessment Technique to Consumer Products: Case Studies

    , Creations The Nature of Creative Products in the 21st Century, Editors: Cropley, Publisher: Palgrave MacMillan, Pages: 161-186, ISBN: 9783031824142

    This edited book explores creative products (i.e. Creations) as part of the seven C's of creativity framework.
  • Journal article
    Espinoza F, Cook D, Da Re M, Fuentes MSC, Butler CR, Calvo RAet al., 2025,

    Designing AI-powered chatbots for dementia care in Peru: stakeholder engagement and field observations

    , Interacting with Computers, ISSN: 0953-5438

    In Peru, dementia caregivers face burnout, depression, stress and financial strain. Addressing their needs involves tackling the intricacies of resourcing, caregiving and managing emotional burdens. Chatbots could serve as a viable support mechanism for these issues in regions with limited resources. We study the perceptions of dementia caregivers in Peru regarding a chatbot tailored to offer care navigation and emotional support. We divided the study into four phases: the initial stage encompassed engaging stakeholders to understand potential design challenges; the second stage focused on the design of ‘Ana’, a chatbot for dementia caregivers; the third stage assessed the chatbot through interviews and a caregiver satisfaction survey and the fourth stage gathered contextual insights through a field study for culturally-sensitive recommendations for ‘Ana’. The findings reveal that caregivers seek immediate access to information on handling behavioural symptoms and a platform for emotional release. Moreover, ‘Ana’ was tested in two configurations—one employed predefined conversation patterns, while the other harnessed generative AI for more dynamic responses. Participants preferred the generative AI alternative of ‘Ana’ as it was perceived to be more empathic and human-like. The participants valued the generative approach despite knowing the potential risk of receiving inaccurate information. Lastly, the field observations challenge the practicality of offering care navigation due to the lack of resources available in the health system and highlight that ‘Ana’ needs to be accessible for the varying educational and technological literacy levels present in Peru. However, we found that WhatsApp could be leveraged to overcome the accessibility challenges due to its pervasiveness in Peruvian society and that Community Health Workers could play a vital role in dementia care interventions.
  • Journal article
    Weichel M, Reder M, Daubner S, Klemens J, Burger D, Scharfer P, Schabel W, Nestler B, Schneider Det al., 2025,

    Modeling the drying process in hard carbon electrodes based on the phase-field method

    , PHYSICAL REVIEW MATERIALS, Vol: 9, ISSN: 2475-9953
  • Conference paper
    Gao J, Chaudhuri B, Astolfi A, 2025,

    Enhanced transient stabilization with damping assignment

    , 13th IFAC Symposium on Nonlinear Control Systems, Publisher: Elsevier, ISSN: 2405-8963

    The paper proposes an analytical nonlinear control approach for enhancing the transient performance of lossy multi-machine power systems. The prominent feature of thisapproach lies in the inclusion of damping assignment, whereby the oscillation of the power system frequency is dampened out more effectively. In this regard, the proposed control approach is said to achieve enhanced transient stabilization, which is desirable in practical applications.A case study demonstrates the enhanced performance of the proposed control approach over existing nonlinear control approaches.
  • Journal article
    Ballou N, Vuorre M, Hakman T, Magnusson K, Przybylski AKet al., 2025,

    Perceived value of video games, but not hours played, predicts mental well-being in casual adult Nintendo players

    , Royal Society Open Science, Vol: 12, ISSN: 2054-5703

    Studies on video games and well-being often rely on self-report measures or data from a single game. Here, we study how 703 casually engaged US adults’ time spent playing for over 140 000 h across 150 Nintendo Switch games relates to their life satisfaction, affect, depressive symptoms and general mental well-being. We replicate previous findings that playtime over the past two weeks does not predict well-being, and extend these findings to a wider range of timescales (1 h to 1 year). Equivalence tests were inconclusive, and thus we do not find evidence of absence, but results suggest that practically meaningful effects lasting more than 2 h after gameplay are unlikely. Our non-causal findings suggest substantial confounding would be needed to shift a meaningful true effect to the observed null. Although playtime was not related to well-being, players’ assessments of the value of game time—so-called gaming life fit—were. Results emphasize the importance of defining the gaming population of interest, collecting data from more than one game, and focusing on how players integrate gaming into their lives rather than the amount of time spent.

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