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Journal articlePicinali L, Katz BFG, Geronazzo M, et al., 2022,
The SONICOM Project: Artificial Intelligence-Driven Immersive Audio, From Personalization to Modeling [Applications Corner]
, IEEE Signal Processing Magazine, Vol: 39, Pages: 85-88, ISSN: 1053-5888Every individual perceives spatial audio differently, due in large part to the unique and complex shape of ears and head. Therefore, high-quality, headphone-based spatial audio should be uniquely tailored to each listener in an effective and efficient manner. Artificial intelligence (AI) is a powerful tool that can be used to drive forward research in spatial audio personalization. The SONICOM project aims to employ a data-driven approach that links physiological characteristics of the ear to the individual acoustic filters, which allows us to localize sound sources and perceive them as being located around us. A small amount of data acquired from users could allow personalized audio experiences, and AI could facilitate this by offering a new perspective on the matter. A Bayesian approach to computational neuroscience and binaural sound reproduction will be linked to create a metric for AI-based algorithms that will predict realistic spatial audio quality. Being able to consistently and repeatedly evaluate and quantify the improvements brought by technological advancements, as well as the impact these have on complex interactions in virtual environments, will be key for the development of new techniques and for unlocking new approaches to understanding the mechanisms of human spatial hearing and communication.
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Journal articleKench S, Squires I, Dahari A, et al., 2022,
MicroLib: A library of 3D microstructures generated from 2D micrographs using SliceGAN
, SCIENTIFIC DATA, Vol: 9 -
Journal articleSerban A-I, Soreq E, Barnaghi P, et al., 2022,
The effect of COVID-19 on the home behaviours of people affected by dementia
, NPJ DIGITAL MEDICINE, Vol: 5, ISSN: 2398-6352 -
Journal articleBrosa Planella F, Ai W, Boyce AM, et al., 2022,
A continuum of physics-based lithium-ion battery models reviewed
, Progress in Energy, Vol: 4Physics-based electrochemical battery models derived from porous electrode theory are a very powerful tool for understanding lithium-ion batteries, as well as for improving their design and management. Different model fidelity, and thus model complexity, is needed for different applications. For example, in battery design we can afford longer computational times and the use of powerful computers, while for real-time battery control (e.g. in electric vehicles) we need to perform very fast calculations using simple devices. For this reason, simplified models that retain most of the features at a lower computational cost are widely used. Even though in the literature we often find these simplified models posed independently, leading to inconsistencies between models, they can actually be derived from more complicated models using a unified and systematic framework. In this review, we showcase this reductive framework, starting from a high-fidelity microscale model and reducing it all the way down to the single particle model, deriving in the process other common models, such as the Doyle-Fuller-Newman model. We also provide a critical discussion on the advantages and shortcomings of each of the models, which can aid model selection for a particular application. Finally, we provide an overview of possible extensions to the models, with a special focus on thermal models. Any of these extensions could be incorporated into the microscale model and the reductive framework re-applied to lead to a new generation of simplified, multi-physics models.
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Journal articleZhang Qiu P, Tan Y, Thompson O, et al., 2022,
Soft Tissue Characterisation Using a Novel Robotic Medical Percussion Device With Acoustic Analysis and Neural Networks
, IEEE ROBOTICS AND AUTOMATION LETTERS, Vol: 7, Pages: 11314-11321, ISSN: 2377-3766 -
Journal articleAi W, Wu B, Martinez-Paneda E, 2022,
A coupled phase field formulation for modelling fatigue cracking in lithium-ion battery electrode particles
, JOURNAL OF POWER SOURCES, Vol: 544, ISSN: 0378-7753 -
Journal articleStratton E, Lampit A, Choi I, et al., 2022,
Trends in Effectiveness of Organizational eHealth Interventions in Addressing Employee Mental Health: Systematic Review and Meta-analysis.
, J Med Internet Res, Vol: 24BACKGROUND: Mental health conditions are considered the leading cause of disability, sickness absence, and long-term work incapacity. eHealth interventions provide employees with access to psychological assistance. There has been widespread implementation and provision of eHealth interventions in the workplace as an inexpensive and anonymous way of addressing common mental disorders. OBJECTIVE: This updated review aimed to synthesize the literature on the efficacy of eHealth interventions for anxiety, depression, and stress outcomes in employee samples in organizational settings and evaluate whether their effectiveness has improved over time. METHODS: Systematic searches of relevant articles published from 2004 to July 2020 of eHealth intervention trials (app- or web-based) focusing on the mental health of employees were conducted. The quality and bias of all studies were assessed. We extracted means and SDs from publications by comparing the differences in effect sizes (Hedge g) in standardized mental health outcomes. We meta-analyzed these data using a random-effects model. RESULTS: We identified a tripling of the body of evidence, with 75 trials available for meta-analysis from a combined sample of 14,747 articles. eHealth interventions showed small positive effects for anxiety (Hedges g=0.26, 95% CI 0.13-0.39; P<.001), depression (Hedges g=0.26, 95% CI 0.19-0.34; P<.001), and stress (Hedges g=0.25, 95% CI 0.17-0.34; P<.001) in employees' after intervention, with similar effects seen at the medium-term follow-up. However, there was evidence of no increase in the effectiveness of these interventions over the past decade. CONCLUSIONS: This review and meta-analysis confirmed that eHealth interventions have a small positive impact on reducing mental health symptoms in employees. Disappointingly, we found no evidence that, despite the advances in technology and the enormous resources in time, research, and finance devoted to this area for over a decade, bette
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BookGeronazzo M, Serafin S, 2022,
Sonic Interactions in Virtual Environments
, Publisher: Springer, ISBN: 9783031040207This is an open access book. This book tackles the design of 3D spatial interactions in an audio-centered and audio-first perspective, providing the fundamental notions related to the creation and evaluation of immersive sonic experiences.
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Journal articleZhou Y, Stewart R, 2022,
Highly flexible, durable, UV resistant, and electrically conductive graphene based TPU/textile composite sensor
, POLYMERS FOR ADVANCED TECHNOLOGIES, Vol: 33, Pages: 4250-4264, ISSN: 1042-7147 -
Journal articleAnderson JF, Cardin M-A, Grogan PT, 2022,
Design and analysis of flexible multi-layer staged deployment for satellite mega-constellations under demand uncertainty
, ACTA ASTRONAUTICA, Vol: 198, Pages: 179-193, ISSN: 0094-5765 -
Journal articleMazzolai B, Mondini A, Del Dottore E, et al., 2022,
Roadmap on soft robotics: multifunctionality, adaptability and growth without borders
, Multifunctional Materials, Vol: 5Soft robotics aims at creating systems with improved performance of movement and adaptability in unknown, challenging, environments and with higher level of safety during interactions with humans. This Roadmap on Soft Robotics covers selected aspects for the design of soft robots significantly linked to the area of multifunctional materials, as these are considered a fundamental component in the design of soft robots for an improvement of their peculiar abilities, such as morphing, adaptivity and growth. The roadmap includes different approaches for components and systems design, bioinspired materials, methodologies for building soft robots, strategies for the implementation and control of their functionalities and behavior, and examples of soft-bodied systems showing abilities across different environments. For each covered topic, the author(s) describe the current status and research directions, current and future challenges, and perspective advances in science and technology to meet the challenges.
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Journal articleBrooks RA, Wang H, Ding Z, et al., 2022,
A review on stamp forming of continuous fibre-reinforced thermoplastics
, International Journal of Lightweight Materials and Manufacture, Vol: 5, Pages: 411-430Continuous fibre-reinforced thermoplastics (FRTPs) are replacing metals in certain applications in the aerospace industry due to their superior properties e.g., high strength-to-weight ratio and good fatigue resistance. Adopting these lightweight materials in vehicles is a solution for improving vehicle efficiency across the transport industry. Among various manufacturing techniques for FRTP parts, stamp forming is one of the most advantageous when small structures and mass production are targeted. However, a significant barrier for this technique is the quality control of manufacturing. The current paper reviews the development of stamp forming technology, benefits of using such technology and the typical quality issues in stamp forming of FRTP parts. First, advantages of stamp forming, compared to other thermoforming techniques, are discussed, followed by a review of the historical development of the process. Second, deformation mechanisms of FRTPs during stamp forming are examined, with particular focuses on the frictional behaviour and testing thereof. Third, the main defects associated with stamp forming are considered, alongside suggestions towards reducing their presence. Finally, an extensive survey of the effect of process parameters on the mechanical properties of formed parts is included, with generally expected trends highlighted and methodologies for finding optimum conditions presented. Based on the thorough review of state-of-the-art stamp forming, future trends and research gaps to be tackled for widening the applicability of FRTP stamp forming are suggested.
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Journal articlePeters D, 2022,
Wellbeing Supportive Design - Research-Based Guidelines for Supporting Psychological Wellbeing in User Experience
, INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION, ISSN: 1044-7318 -
Journal articleLalitharatne TD, Costi L, Hashem R, et al., 2022,
Face mediated human-robot interaction for remote medical examination.
, Sci Rep, Vol: 12Realtime visual feedback from consequences of actions is useful for future safety-critical human-robot interaction applications such as remote physical examination of patients. Given multiple formats to present visual feedback, using face as feedback for mediating human-robot interaction in remote examination remains understudied. Here we describe a face mediated human-robot interaction approach for remote palpation. It builds upon a robodoctor-robopatient platform where user can palpate on the robopatient to remotely control the robodoctor to diagnose a patient. A tactile sensor array mounted on the end effector of the robodoctor measures the haptic response of the patient under diagnosis and transfers it to the robopatient to render pain facial expressions in response to palpation forces. We compare this approach against a direct presentation of tactile sensor data in a visual tactile map. As feedback, the former has the advantage of recruiting advanced human capabilities to decode expressions on a human face whereas the later has the advantage of being able to present details such as intensity and spatial information of palpation. In a user study, we compare these two approaches in a teleoperated palpation task to find the hard nodule embedded in the remote abdominal phantom. We show that the face mediated human-robot interaction approach leads to statistically significant improvements in localizing the hard nodule without compromising the nodule position estimation time. We highlight the inherent power of facial expressions as communicative signals to enhance the utility and effectiveness of human-robot interaction in remote medical examinations.
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Journal articleNguyen M, Mougenot C, 2022,
A systematic review of empirical studies on multidisciplinary design collaboration: Findings, methods, and challenges
, DESIGN STUDIES, Vol: 81, ISSN: 0142-694X- Author Web Link
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- Citations: 1
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Journal articleCursi F, Bai W, Yeatman EM, et al., 2022,
Model Learning With Backlash Compensation for a Tendon-Driven Surgical Robot
, IEEE ROBOTICS AND AUTOMATION LETTERS, Vol: 7, Pages: 7958-7965, ISSN: 2377-3766 -
Journal articleWang AA, O'Kane SEJ, Brosa Planella F, et al., 2022,
Review of parameterisation and a novel database (LiionDB) for continuum Li-ion battery models
, Progress in Energy, Vol: 4The Doyle-Fuller-Newman (DFN) framework is the most popular physics-based continuum-level description of the chemical and dynamical internal processes within operating lithium-ion-battery cells. With sufficient flexibility to model a wide range of battery designs and chemistries, the framework provides an effective balance between detail, needed to capture key microscopic mechanisms, and simplicity, needed to solve the governing equations at a relatively modest computational expense. Nevertheless, implementation requires values of numerous model parameters, whose ranges of applicability, estimation, and validation pose challenges. This article provides a critical review of the methods to measure or infer parameters for use within the isothermal DFN framework, discusses their advantages or disadvantages, and clarifies limitations attached to their practical application. Accompanying this discussion we provide a searchable database, available at www.liiondb.com, which aggregates many parameters and state functions for the standard DFN model that have been reported in the literature.
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Journal articleCursi F, Bai W, Li W, et al., 2022,
Augmented Neural Network for Full Robot Kinematic Modelling in SE(3)
, IEEE ROBOTICS AND AUTOMATION LETTERS, Vol: 7, Pages: 7140-7147, ISSN: 2377-3766- Author Web Link
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- Citations: 1
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Journal articleJedwab RM, Hutchinson AM, Manias E, et al., 2022,
<p>Change in nurses' psychosocial characteristics pre- and post-electronic medical record system implementation coinciding with the SARS-CoV-2 pandemic: pre- and post-cross-sectional surveys</p>
, INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, Vol: 163, ISSN: 1386-5056 -
Journal articleHong F, Tendera L, Myant C, et al., 2022,
Vacuum-Formed 3D Printed Electronics: Fabrication of Thin, Rigid and Free-Form Interactive Surfaces
, SN Computer Science, Vol: 3, ISSN: 2662-995XVacuum-forming is a common manufacturing technique for constructing thin plastic shell products by pressing heated plastic sheets onto a mold using atmospheric pressure. Vacuum-forming is ubiquitous in packaging and casing products in the industry, spanning fast moving consumer goods to connected devices. Integrating advanced functionality, which may include sensing, computation and communication, within thin structures is desirable for various next-generation interactive devices. Hybrid additive manufacturing techniques like thermoforming are becoming popular for prototyping freeform surfaces owing to their design flexibility, speed and cost-effectiveness. This paper presents a new hybrid method for constructing thin, rigid and free-form interconnected surfaces via fused deposition modelling (FDM) 3D printing and vacuum-forming that builds on recent advances in thermoforming circuits. 3D printing the sheet material allows for the embedding of conductive traces within thin layers of the substrate, which can be vacuum-formed but remain conductive and insulated. This is an unexplored fabrication technique within the context of designing and manufacturing connected things. In addition to explaining the method, this paper characterizes the behavior of vacuum-formed 3D printed sheets, analyses the electrical performance of printed traces after vacuum-forming, and showcases a range of sample artefacts constructed using the technique. In addition, the paper describes a new design interface for designing conformal interconnects that allows designers to draw conductive patterns in 3D and export pre-distorted sheet models ready to be printed.
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Journal articleCooper SJ, Roberts SA, Liu Z, et al., 2022,
Methods-Kintsugi Imaging of Battery Electrodes: Distinguishing Pores from the Carbon Binder Domain using PT Deposition
, JOURNAL OF THE ELECTROCHEMICAL SOCIETY, Vol: 169, ISSN: 0013-4651 -
Journal articleSowe J, Varela Barreras J, Schimpe M, et al., 2022,
Model-informed battery current derating strategies: Simple methods to extend battery lifetime in islanded mini-grids
, Journal of Energy Storage, Vol: 51, Pages: 1-9, ISSN: 2352-152XIslanded mini-grids with batteries are crucial to enable universal access to energy. However, batteries are still costly, and how to select and operate them in an optimal manner is often unclear. The combination of variable climates with simple and low-cost passive thermal management also poses a challenge. Many techno-economic sizing tools usually consider simple battery degradation models, which disregard the impact of climatic conditions and operating strategy on battery performance. This study uses a semi-empirical Li-ion battery degradation model alongside an open-source techno-economic model to capture key insights. These are used to inform simple state of charge and temperature-based current derating strategies to increase lifetime. We demonstrate that such strategies can increase battery lifetime by 45% or 5–7 years in commercial systems already operational. It was found that, irrespective of climatic conditions, 80–90% of capacity fade can be attributed to calendar aging, due to low C-rates. SOC-based derating was found to be the most effective strategy, with temperature-based derating being less effective at extending lifetime and also leading to increased blackout periods. These results highlight the importance of accurate degradation modelling to achieve lifetime extension through improved operational strategies.
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Journal articleZhao Y, Ouyang M, Wang Y, et al., 2022,
Biomimetic Lipid-Bilayer Anode Protection for Long Lifetime Aqueous Zinc-Metal Batteries
, ADVANCED FUNCTIONAL MATERIALS, Vol: 32, ISSN: 1616-301X -
Journal articleLiu X, Zhang L, Yu H, et al., 2022,
Bridging Multiscale Characterization Technologies and Digital Modeling to Evaluate Lithium Battery Full Lifecycle
, ADVANCED ENERGY MATERIALS, Vol: 12, ISSN: 1614-6832- Author Web Link
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- Citations: 4
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Journal articleTomaszewska A, Parkes M, Doel R, et al., 2022,
The Effects of Temperature and Cell Parameters on Lithium-Ion Battery Fast Charging Protocols: A Model-Driven Investigation
, JOURNAL OF THE ELECTROCHEMICAL SOCIETY, Vol: 169, ISSN: 0013-4651 -
Conference paperBerkovic A, Laganier C, Chappell D, et al., 2022,
A multi-modal haptic armband for finger-level sensory feedback from a prosthetic hand
, EuroHaptics -
Journal articleCursi F, Bai W, Yeatman EM, et al., 2022,
Optimization of Surgical Robotic Instrument Mounting in a Macro-Micro Manipulator Setup for Improving Task Execution
, IEEE TRANSACTIONS ON ROBOTICS, Vol: 38, Pages: 2858-2874, ISSN: 1552-3098- Author Web Link
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- Citations: 2
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Journal articleAbayazid FF, Carpanen D, Ghajari M, 2022,
New viscoelastic circular cell honeycombs for controlling shear and compressive responses in oblique impacts
, INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES, Vol: 222, ISSN: 0020-7403- Author Web Link
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- Citations: 1
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Conference paperNguyen QT, Laly M, Kwon BC, et al., 2022,
Moody Man: Improving creative teamwork through dynamic affective recognition
, CHI 2022 - ACM CHI Conference on Human Factors in Computing Systems -
Conference paperPetrovskaya E, Deterding S, Zendle D, 2022,
Prevalence and salience of problematic microtransactions in top-grossing mobile and PC games: a content analysis of user reviews
, New York, CHI Conference on Human Factors in Computing Systems (CHI ’22), Publisher: ACMMicrotransactions have become a major monetisation model in digital games, shaping their design, impacting player experience, and raising ethical concerns. Research in this area has chiefly focused on loot boxes. This begs the question whether other microtransactions might actually be more relevant and problematic for players. We therefore conducted a content analysis of negative player reviews (n=801) of top-grossing mobile and desktop games to determine which problematic microtransactions are most prevalent and salient for players. We found that problematic microtransactions with mobile games featuring more frequent and different techniques compared to desktop games. Across both, players minded issues related to fairness, transparency, and degraded user experience, supporting prior theoretical work, and importantly take issue with monetisation-driven design as such. We identify future research needs on why microtransactions in particular spark this critique, and which player communities it may be more or less representative of.
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