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Journal articleWorrell C, Pollard R, Weetman T, et al., 2024,
Exploring the research needs, barriers and facilitators to the collection of biological data in adolescence for mental health research: a scoping review protocol paper.
, BMJ Open, Vol: 14INTRODUCTION: While research into adolescent mental health has developed a considerable understanding of environmental and psychosocial risk factors, equivalent biological evidence is lacking and is not representative of economic, social and ethnic diversity in the adolescent population. It is important to understand the possible barriers and facilitators to conduct this research. This will then allow us to improve our understanding of how biology interacts with environmental and psychosocial risk factors during adolescence. The objective of this scoping review is to identify and understand the needs, barriers and facilitators related to the collection of biological data in adolescent mental health research. METHODS AND ANALYSIS: Reviewers will conduct a systematic search of PubMed, Medline, Scopus, Cochrane, ERIC, EMBASE, ProQuest, EBSCO Global Health electronic databases, relevant publications and reference lists to identify studies published in the English language at any time. This scoping review will identify published studies exploring mental health/psychopathology outcomes, with biological measures, in participants between the ages of 11 and 18 and examine the reported methodology used for data collection. Data will be summarised in tabular form with narrative synthesis and will use the methodology of Levac et al, supplemented by subsequent recommendations from the Joanna Briggs Institute Scoping Review Methodology. ETHICS AND DISSEMINATION: Ethical approval is not required for this scoping review. The scoping review will be conducted with input from patient and public involvement, specifically including young people involved in our study ('Co-producing a framework of guiding principles for Engaging representative and diverse cohorts of young peopLE in Biological ReseArch in menTal hEalth'-www.celebrateproject.co.uk) Youth Expert Working Group. Dissemination will include publication in peer-reviewed journals, academic presentations and on the project website.
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Journal articleYin Y, Han J, Childs P, 2024,
An EEG study on artistic and engineering mindsets in students in creative processes
, Scientific Reports, Vol: 14, ISSN: 2045-2322This study aims to take higher-education students as examples to understand and compare artistic and engineering mindsets in creative processes using EEG. Fifteen Master of Fine Arts (MFA) visual arts and fifteen Master of Engineering (MEng) design engineering students were recruited and asked to complete alternative uses tasks wearing an EEG headset. The results revealed that (1) the engineering-mindset students responded to creative ideas faster than artistic-mindset students. (2) Although in creative processes both artistic- and engineering-mindset students showed Theta, Alpha, and Beta wave activity, the active brain areas are slightly different. The active brain areas of artistic-mindset students in creative processes are mainly in the frontal and occipital lobes; while the whole brain (frontal, oriental, temporal, and occipital lobes) was active in creative processes of engineering-mindset students. (3) During the whole creative process, the brain active level of artistic-mindset students was higher than that of engineering-mindset students. The results of this study fills gaps in existing research where only active brain areas and band waves were compared between artistic- and engineering-mindset students in creative processes. For quick thinking in terms of fluency of generating creative ideas, engineering students have an advantage in comparison to those from the visual arts. Also, the study provided more evidence that mindset can affect the active levels of the brain areas. Finally, this study provides educators with more insights on how to stimulate students’ creative ability.
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Journal articleYu Z, Childs P, Ge Y, et al., 2024,
Whisker sensor for robot environments perception: a review
, IEEE Sensors Journal, ISSN: 1530-437XNocturnal mammals such as rats heavily depend onwhisker based tactile perception to find their way through burrows and to identify objects. There is diversity in the whiskers in terms of the physical structure and nervous innervation. The robotics community has developed many different whisker sensors inspired by this biological basis. They take diverse mechanical, electronic, andcomputational approaches to use whiskers to identify the geometry, mechanical properties, and texture of objects. Some work address specific object features and some others address multiple features. Therefore, it is vital to have a comprehensive discussion of the literature and to understand the merits of both bio-inspired and pureengineered approaches to whisker based tactile perception. In this paper we report and discuss the progress in following areas: The body of mammalian whisker follicle, unimodal whiskered sensors, multimodal whiskered sensors with variable stiffness that can capture tactile sensory stimuli of different frequencies, obstacles detection, shape detection, texture classification and robot navigation using whiskers.
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Journal articleDocherty R, Squires I, Vamvakeros A, et al., 2024,
SAMBA: a trainable segmentation web-app with smart labelling
, Journal of Open Source Software, Vol: 9, Pages: 6159-6159, ISSN: 2475-9066Segmentation is the assigning of a semantic class to every pixel in an image and is a prerequisite for various statistical analysis tasks in materials science, like phase quantification, physics simulations or morphological characterisation. The wide range of length scales, imaging techniques and materials studied in materials science means any segmentation algorithm must generalise to unseen data and support abstract, user-defined semantic classes. Trainablesegmentation is a popular interactive segmentation paradigm where a classifier is trained to map from image features to user drawn labels. SAMBA is a trainable segmentation tool that uses Meta’s Segment Anything Model (SAM) for fast, high-quality label suggestions and arandom forest classifier for robust, generalisable segmentations. It is accessible in the browser (https://www.sambasegment.com/), without the need to download any external dependencies. The segmentation backend is run in the cloud, so does not require the user to have powerfulhardware.
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Journal articleZhou Y, Sun Y, Li Y, et al., 2024,
A highly durable and UV‐resistant graphene‐based knitted textile sensing sleeve for human joint angle monitoring and gesture differentiation
, Advanced Intelligent Systems, ISSN: 2640-4567Flexible strain sensors based on textiles have attracted extensive attention owing to their light weight, flexibility, and comfort when wearing. However, challenges in integrating textile strain sensors into wearable sensing devices include the need for outstanding sensing performance, long-term monitoring stability, and fast, convenient integration processes to achieve comprehensive monitoring. The scalable fabrication technique presented here addresses these challenges by incorporating customizable graphene-based sensing networks into knitted structures, thus creating sensing sleeves for precise motion detection and differentiation. The performance and real-world application potential of the sensing sleeve are evaluated by its precision in angle estimation and complex joint motion recognition during intra- and intersubject studies. For intra-subject analysis, the sensing sleeve only exhibits a 2.34° angle error in five different knee activities among 20 participants, and the sensing sleeves show up to 94.1% and 96.1% accuracy in the gesture classification of knee and elbow, respectively. For inter-subject analysis, the sensing sleeve demonstrates a 4.21° angle error, and it shows up to 79.9% and 85.5% accuracy in the gesture classification of knee and elbow, respectively. An activity-guided user interface compatible with the sensing sleeves for human motion monitoring in home healthcare applications is presented to illustrate the potential applications.
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Journal articleGodden T, Mulvey B, Redgrave E, et al., 2024,
PaTS-wheel: a passively-transformable single-part wheel for mobile robot navigation on unstructured terrain
, IEEE Robotics and Automation Letters, Vol: 9, Pages: 5512-5519, ISSN: 2377-3766Most mobile robots use wheels that perform well on even and structured ground, like in factories and warehouses. However, they face challenges traversing unstructured terrain such as stepped obstacles. This letter presents the design and testing of the PaTS-Wheel: a Passively-Transformable Single-part Wheel that can transform to render hooks when presented with obstacles. The passive rendering of this useful morphological feature is guided purely by the geometry of the obstacle. The energy consumption and vibrational profile of the PaTS-Wheel on flat ground is comparable to a standard wheel of the same size. In addition, our novel wheel design was tested traversing different terrains with stepped obstacles of incremental heights. The PaTS-Wheel achieved 100% success rate at traversing stepped obstacles with heights ≈70% its diameter, higher than the results obtained for an equivalent wheel ( ≈25% its diameter) and an equivalent wheg ( ≈61% its diameter). This achieves the design objectives of combining the energy efficiency and ride smoothness of wheels with the obstacle traversal capabilities of legged robots, all without requiring any sensors, actuators, or controllers.
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Journal articleDudkina E, Bin M, Breen J, et al., 2024,
A comparison of centrality measures and their role in controlling the spread in epidemic networks
, International Journal of Control, Vol: 97, Pages: 1325-1340, ISSN: 0020-7179The ranking of nodes in a network according to their centrality or ``importance'' is a classic problem that has attracted the interest of different scientific communities in the last decades. The COVID-19 pandemic has recently rejuvenated the interest in this problem, as the ranking may be used to decide who should be tested, or vaccinated, first, in a population of asymptomatic individuals. In this paper, we review classic methods for node ranking and compare their performance in a benchmark network that considers the community-based structure of society. The outcome of the ranking procedure is then used to decide which individuals should be tested, and possibly quarantined, first. Finally, we also review the extension of these ranking methods to weighted graphs and explore the importance of weights in a contact network by providing a toy model and comparing node rankings for this case in the context of disease spread.
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Journal articleSadek M, Calvo RA, Mougenot C, 2024,
Closing the socio–technical gap in AI: the need for measuring practitioners’ attitudes and perceptions
, IEEE Technology and Society Magazine, Vol: 43, Pages: 88-91, ISSN: 0278-0097This article discusses the need for artificial intelligence (AI) practitioners to shift their focus from a purely technical mindset toward a more human-centered approach. Technical experts are trained to consider the technical aspects of their work, which can cause them to overlook important socio–technical considerations and implications, resulting in a socio–technical gap in AI-based systems [4]. Unhelpful practitioner cultures can lead to them “rejecting practices or downplaying the importance of values or the possible threats of ignoring them” [1]. While efforts are being made to create ethical and more human-centered AI systems, there is a need for corresponding changes in the attitudes and perceptions of AI practitioners. Practitioners need to move away from a sole focus on compliance with responsible AI guidelines and regulations toward active reflection and empathy based on a true understanding of the profound effects their decisions can have on different stakeholders. However, one problematic barrier to beginning work on interventions that target practitioners’ mindsets and attitudes is the lack of a standardized method for evaluating or measuring the effectiveness of design interventions on their attitudes and perceptions. This article suggests the need for clearer metrics within the human–computer interaction (HCI) community for looking at practitioners’ attitudes toward socio–technical factors in AI design.
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Journal articleWeber C, Gatersleben B, Jagannath S, et al., 2024,
Crowding and aggression during the COVID-19 lockdown in the United Kingdom: The relationship between residential density, subjective crowding, privacy, and aggression
, JOURNAL OF ENVIRONMENTAL PSYCHOLOGY, Vol: 96, ISSN: 0272-4944 -
Journal articleTooby J, Till K, Gardner A, et al., 2024,
When to pull the trigger: conceptual considerations for approximating head acceleration events using instrumented mouthguards
, Sports Medicine, Vol: 54, Pages: 1361-1369, ISSN: 0112-1642Head acceleration events (HAEs) are acceleration responses of the head following external short-duration collisions. The potential risk of brain injury from a single high-magnitude HAE or repeated occurrences makes them a significant concern in sport. Instrumented mouthguards (iMGs) can approximate HAEs. The distinction between sensor acceleration events, the iMG datum for approximating HAEs and HAEs themselves, which have been defined as the in vivo event, is made to highlight limitations of approximating HAEs using iMGs. This article explores the technical limitations of iMGs that constrain the approximation of HAEs and discusses important conceptual considerations for stakeholders interpreting iMG data. The approximation of HAEs by sensor acceleration events is constrained by false positives and false negatives. False positives occur when a sensor acceleration event is recorded despite no (in vivo) HAE occurring, while false negatives occur when a sensor acceleration event is not recorded after an (in vivo) HAE has occurred. Various mechanisms contribute to false positives and false negatives. Video verification and post-processing algorithms offer effective means for eradicating most false positives, but mitigation for false negatives is less comprehensive. Consequently, current iMG research is likely to underestimate HAE exposures, especially at lower magnitudes. Future research should aim to mitigate false negatives, while current iMG datasets should be interpreted with consideration for false negatives when inferring athlete HAE exposure.
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Journal articleJagannath S, Gatersleben B, Ratcliffe E, 2024,
Flexibility of the home and residents’ psychological wellbeing
, Journal of Environmental Psychology, Vol: 96, ISSN: 0272-4944BackgroundFlexible homes provide residents with choice and control in how they use and modify their homes to suit their changing needs, but the psychological benefits of flexibility for residents' wellbeing have been underexplored. This paper examines to what extent flexible homes support residents’ wellbeing, what architectural qualities (Architectural Flexibility) are important for wellbeing, and to what extent residents can use these qualities to make changes to home (Behavioural Flexibility) to achieve wellbeing.StudiesThree studies were conducted to examine the relationship between flexibility of the home and residents' psychological wellbeing. Study 1 (N = 187) explored the association between Flexibility and wellbeing. Study 2 (N = 212) examined the mediating nature of the Behavioural Flexibility component in the relationship between Architectural Flexibility of the home and residents' wellbeing. Study 3 (N = 300) examined this relationship further by exploring the influence of residents’ individual factors of Capability and Motivation in the Study 2 model using the COM-B model of behaviour.ResultsStudy 1 showed that residents’ perceptions of flexibility of their homes were positively associated with their hedonic and eudaimonic wellbeing at home, explaining 21% and 15.3% of variance respectively. Study 2 showed that Behavioural Flexibility significantly mediated the relationship between Architectural Flexibility and hedonic and eudaimonic wellbeing. Among the three types of Architectural Flexibility explored in Study 3, the COM-B model of Availability of spaces at home explained the most variance in hedonic and eudaimonic wellbeing, compared to Modifiability and Multifunctionality of spaces. In all models, COM-B components showed varying influence on wellbeing. The mediating nature of Behavioural Flexibility was confirmed in the COM-B model of Modifiability.ConclusionsFlexibility in the built home environment and residents' behaviour of mak
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Journal articleTu Y, Wu B, Ai W, et al., 2024,
Influence of concentration-dependent material properties on the fracture and debonding of electrode particles with core–shell structure
, Journal of Power Sources, Vol: 603, ISSN: 0378-7753Core–shell electrode particle designs offer a route to improved lithium-ion battery performance. However, they are susceptible to mechanical damage such as fracture and debonding, which can significantly reduce their lifetime. Using a coupled finite element model, we explore the impacts of diffusion-induced stresses on the failure mechanisms of an exemplar system with an NMC811 core and an NMC111 shell. In particular, we systematically compare the implications of assuming constant material properties against using Li concentration-dependent diffusion coefficient and partial molar volume. With constant material properties, our results show that smaller cores with thinner shells avoid debonding and fracture regimes. When factoring in a concentration-dependent partial molar volume, the maximum values of tensile hoop stress in the shell are found to be significantly lower than those predicted with constant properties, reducing the likelihood of fracture. Furthermore, with a concentration-dependent diffusion coefficient, significant barriers to full electrode utilisation are observed due to reduced lithium mobility at high states of lithiation. This provides a possible explanation for the reduced accessible capacity observed in experiments. Shell thickness is found to be the dominant factor in precluding structural integrity once the concentration dependency is accounted for. These findings shed new light on the performance and effective design of core–shell electrode particles.
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Journal articlePierrot A, Pinson P, 2024,
On Tracking Varying Bounds When Forecasting Bounded Time Series
, TECHNOMETRICS, ISSN: 0040-1706 -
Conference paperIto A, Taoka Y, Wan E, et al., 2024,
Gaps between reflection frameworks and students’ practice: Implications for design education
, DESIGN 2024, Publisher: Cambridge University Press, Pages: 2865-2874, ISSN: 2732-527XThis paper aims to identify gaps between the reflection frameworks and students’ practice. Through a systematic literature review (PRISMA) and a qualitative survey of students, 12 reflection frameworks were reviewed, and the 13 challenges students faced at design projects in two design schools were identified. The results indicate three gaps between theory and students’ practice: skills of designers, granularities of reflection items, and supports of bridging reflection to next actions. This study provides insights for future development of support tools to bridge the gaps in design education.
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Conference paperDavison M, McPherson A, 2024,
A self-sensing vibrotactile transducer for bidirectional tactile interaction
, EuroHaptics 2024, Publisher: SpringerAn approach to achieving simultaneous, collocated vibrotactile haptic feedback and tactile sensing is presented. A single voice coil transducer is used for sensing transients such tap strikes and taps by a fingertip, along with continuous surface pressure. A current drive amplifier provides the actuation signal. A digital filter configuration is used to cancel the actuation signal from the voltage sensing signal by modelling the transducer’s impedance. The possible benefits of the system within digital musical instrument (DMI) design are briefly discussed.
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Journal articlePuglia M, Parker L, Clube RKM, et al., 2024,
The circular policy canvas: Mapping the European Union's policies for a sustainable fashion textiles industry
, Resources, Conservation and Recycling, Vol: 204, ISSN: 0921-3449Policy plays a major role in enabling and accelerating the shift to a Circular Economy (CE). Transitioning to a CE in the Fashion Textiles Industry (FTI) requires a holistic policy approach through comprehensive and coherent policy interventions across the resource life cycle. This paper introduces the novel Circular Policy Canvas tool to systematically and visually map CE policies across six dimensions (policy environment, resource life cycle, CE loop, CE strategy, system element and circular business model). This is applied to thirty FTI policies in the EU policy landscape. The canvas enables policymakers and researchers to assess policies to identify gaps and priorities for CE policy development. The findings determine the recency of the EU policy agenda for a circular FTI meaning that there are gaps in terms of coverage and coherence. In particular, the study identifies a lack of attention to displacing the linear economy, a concentration of policies in the head and tail of the resource life cycle with gaps in the core, a dominance of policies in the outer over the inner loop and inadequate coverage of policies focused on actors, infrastructure and resources.
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Journal articleTillfors M, Van Zalk N, Boersma K, et al., 2024,
Longitudinal links between adolescent social anxiety and depressive symptoms: stressful experiences at home, in school and with peers
, Nordic Psychology, Vol: 76, Pages: 230-249, ISSN: 0029-1463Social anxiety and depressive symptoms often co-occur during early adolescence but contributing factors to this development are still a matter of debate. This study examined the role of daily stressors (peers, school and homelife) in the links between adolescent social anxiety and depressive symptoms. 7-8th graders at Time 1 (N = 2,752, Mage = 13.65; 47.5% girls) were followed across three time-points. Cross-lagged path models showed that depressive symptoms predicted later social anxiety, but not vice versa. Bidirectional links were identified between peer stress and social anxiety, and between school/homelife stress and depressive symptoms, respectively. Indirect effects of social anxiety, depressive symptoms, and daily stressors were found, though stressors did not mediate the links between social anxiety and depressive symptoms (or vice versa). Our findings indicate an intricate role of daily stressors in different domains on the links between social anxiety and depressive symptoms.
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Journal articleSquires I, Foster JM, Galvis A, et al., 2024,
Investigating the Effect of the Separation of Scales in Reduced Order Battery Modelling: Implications on the Validity of the Newman Model
, JOURNAL OF THE ELECTROCHEMICAL SOCIETY, Vol: 171, ISSN: 0013-4651 -
Conference paperLiuqing C, Zhaojun J, Duowei X, et al., 2024,
BIDTrainer: an LLMs-driven education tool for enhancing the understanding and reasoning in bio-inspired design
, CHI Conference on Human Factors in Computing Systems (CHI ’24), Publisher: ACM, Pages: 1-20Bio-inspired design (BID) fosters innovations in engineering. Learning BID is crucial for developing multidisciplinary innovation skillsof designers and engineers. Current BID education aims to enhancelearners’ understanding and analogical reasoning skills. However,it often heavily relies on the teachers’ expertise. When learnerspursue independent learning using some educational tools, theyface challenges in understanding and reasoning practice withinthis multidisciplinary field. Additionally, evaluating their learningoutcomes comprehensively becomes problematic. Addressing thesechallenges, we introduce a LLMs-driven BID education methodbased on a structured ontology and three strategies: enhancingunderstanding through LLMs-enpowered "learning by asking", assisting reasoning by providing hints and feedback, and assessinglearning outcomes through benchmarking against existing BIDcases. Implementing the method, we developed BIDTrainer, a BID education tool. User studies indicate that learners using BIDTrainerunderstood BID knowledge better, reason faster with higher interactivity than the baseline, and BIDTrainer assessed the learningoutcomes consistent with experts.
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Journal articleDing Z, Attar HR, Wang H, et al., 2024,
Integrating convolutional neural network and constitutive model for rapid prediction of stress-strain curves in fibre reinforced polymers: a generalisable approach
, Materials and Design, Vol: 241, ISSN: 0264-1275Despite recent advancements in using machine learning (ML) techniques to establish the microstructure-property linkage for composites’ representative volume elements (RVEs), challenges persist in effectively characterising the effect of microstructural randomness on material properties. This complexity arises from the difficulty of expressing randomness as definitive variables and its intertwined relations with other factors, such as material constituents. Such complexities result in limitations in generalising ML models across different material constituents. Conventional solutions to these challenges usually necessitate large datasets, which require considerable computational resources, for an accurate and generalisable ML models to be trained. This paper presents an innovative approach to tackling these challenges by integrating a high-accuracy convolutional neural network (CNN) with a novel microstructure-factored constitutive model (MCM). The MCM, rooted from classic empirical constitutive modelling, effectively segregates the microstructural and constituting material effects, extending the generalisability and thus significantly enhancing the efficacy of the CNN. This new approach enabled a CNN trained on the transverse stress-strain curves of one set of material constituents (CF/PEEK at 270 °C) to be generalised for the rapid prediction of various sets of material constituents at different temperatures, unseen by the CNN during training, with an average mean absolute percentage error around 3 %.
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Conference paperRobson N, McPherson A, Bryan-Kinns N, 2024,
Thinking with sound: exploring the experience of listening to an ultrasonic art installation
, CHI 24, Publisher: ACMEntanglement theories are well established in HCI discourse. These involve a commitment to view human experience in encounters with technology as relational and contingent, and research apparatuses as co-producers rather than passive observers of phenomena. In this paper, we argue that sound is the sensory modality best suited to the investigation of entanglements. Materialist theoriesof sound and listening guide both the design of a novel interactive sound installation and the methodological approach of a participant study exploring the experience of listening. We present a diffractive analysis whereby micro-phenomenological interview data is read with sonic theories, generating accounts that might otherwise remain mute: the temporal fluctuation and physical feeling ofproximity in listener entanglements with sound, somatic intention setting, and plural interpretations of interactivity. Finally, we offer a series of provocations for HCI to embrace qualities of the sonic and consider epistemological positions grounded in other sense modalities.
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Conference paperMorrison L, McPherson A, 2024,
Entangling entanglement: a diffractive dialogue on HCI and musical interactions
, CHI 24, Publisher: ACMIf, as several recent papers claim, we have entered a new wave of “Entanglement HCI,” then we are still at a liminal stage prior to consensus around which sources underpin this paradigm shift or how they might inform actionable approaches to design practice. Now is the time to interpret technosocial mediation from a range of disciplinary perspectives, rather than settling on a narrow canon of literature. To this end, our paper enacts a diffractive dialogue between researchers from different disciplines, focusing on digital musical instruments to examine how technical knowledge from design and engineering can be read against the grain of critical theories from music, media, and cultural studies. Drawing on two object lessons—keyboards and step sequencers, plus their remediations inrecent musical interaction research—we highlight interdependencies of theory, design, and practice, and we show how the idea of entanglement is itself entangled in a cross-disciplinary web.
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Conference paperSadek M, Constantinides M, Quercia D, et al., 2024,
Guidelines for integrating value sensitive design in responsible AI toolkits
, CHI 2024, Publisher: ACMValue Sensitive Design (VSD) is a framework for integrating human values throughout the technology design process. In parallel, Responsible AI (RAI) advocates for the development of systems aligning with ethical values, such as fairness and transparency. In this study, we posit that a VSD approach is not only compatible, but also advantageous to the development of RAI toolkits. To empirically assess this hypothesis, we conducted four workshops involving 17 early-career AI researchers. Our aim was to establish links between VSD and RAI values while examining how existingtoolkits incorporate VSD principles in their design. Our findings show that collaborative and educational design features within these toolkits, including illustrative examples and open-ended cues, facilitate an understanding of human and ethical values, and empower researchers to incorporate values into AI systems. Drawing on these insights, we formulated six design guidelines for integrating VSD values into the development of RAI toolkits.
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Journal articleRuan H, Kirkaldy N, Offer G, et al., 2024,
Diagnosing health in composite battery electrodes with explainable deep learning and partial charging data
, Energy and AI, Vol: 16, ISSN: 2666-5468Lithium-ion batteries with composite anodes of graphite and silicon are increasingly being used. However, their degradation pathways are complicated due to the blended nature of the electrodes, with graphite and silicon degrading at different rates. Here, we develop a deep learning health diagnostic framework to rapidly quantify and separate the different degradation rates of graphite and silicon in composite anodes using partial charging data. The convolutional neural network (CNN), trained with synthetic data, uses experimental partial charging data to diagnose electrode-level health of tested batteries, with errors of less than 3.1% (corresponding to the loss of active material reaching ∼75%). Sensitivity analysis of the capacity-voltage curve under different degradation modes is performed to provide a physically informed voltage window for diagnostics with partial charging data. By using the gradient-weighted class activation mapping approach, we provide explainable insights into how these CNNs work; highlighting regions of the voltage-curve to which they are most sensitive. Robustness is validated by introducing noise to the data, with no significant negative impact on the diagnostic accuracy for noise levels below 10 mV, thus highlighting the potential for deep learning approaches in the diagnostics of lithium-ion battery performance under real-world conditions. The framework presented here can be generalised to other cell formats and chemistries, providing robust and explainable battery diagnostics for both conventional single material electrodes, but also the more challenging composite electrodes.
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Journal articleWillis S, Waheed U, Coward T, et al., 2024,
RESEARCH AND EDUCATION An automated design pipeline for transparent facial orthoses: A clinical study
, JOURNAL OF PROSTHETIC DENTISTRY, Vol: 131, Pages: 970-979, ISSN: 0022-3913 -
Conference paperKao D, Ballou N, Gerling K, et al., 2024,
How does juicy game feedback motivate? Testing curiosity, competence, and effectance
, New York, CHI 2024, Publisher: ACM‘Juicy’ or immediate abundant action feedback is widely held to make video games enjoyable and intrinsically motivating. Yet we do not know why it works: Which motives are mediating it? Which features afford it? In a pre-registered (n=1,699) online experiment, we tested three motives mapping prior practitioner discourse— effectance, competence, and curiosity—and connected design fea- tures. Using a dedicated action RPG and a 2x2+control design, we varied feedback amplification, success-dependence, and variabil- ity and recorded self-reported effectance, competence, curiosity, and enjoyment as well as free-choice playtime. Structural equa- tion models show curiosity as the strongest enjoyment and only playtime predictor and support theorised competence pathways. Success dependence enhanced all motives, while amplification un- expectedly reduced them, possibly because the tested condition unintentionally impeded players’ sense of agency. Our study ev- idences uncertain success affording curiosity as an underappre- ciated moment-to-moment engagement driver, directly supports competence-related theory, and suggests that prior juicy game feel guidance ties to legible action-outcome bindings and graded success as preconditions of positive ‘low-level’ user experience.
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Journal articlePark J, Dutta S, Sun H, et al., 2024,
Toward Quantitative Electrodeposition via In Situ Liquid Phase Transmission Electron Microscopy: Studying Electroplated Zinc Using Basic Image Processing and 4D STEM
, SMALL METHODS, ISSN: 2366-9608 -
Journal articleSadan MK, Kim T, Haridas AK, et al., 2024,
Overcoming copper-induced conversion reactions in nickel disulphide anodes for sodium-ion batteries
, NANOSCALE ADVANCES, Vol: 6, Pages: 2508-2515, ISSN: 2516-0230 -
BookZagal JP, Deterding S, 2024,
The Routledge Handbook of Role-Playing Game Studies
, Publisher: Routledge -
Book chapterZagal JP, Deterding S, 2024,
Definitions of “Role-Playing Games”
, The Routledge Handbook of Role-Playing Game Studies, Publisher: Routledge, Pages: 21-55
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