bluuebunny/crossref_metadata_2025_split huggingface dataset:
Attention-Focused Eye Gaze Analysis to Predict Autistic Traits Using Transfer Learning
Authors: Vasant Bidwe Ranjeet , Mishra Sashikala , Kamini Bajaj Simi , Kotecha Ketan 
Published: May 2024

AbstractAutism spectrum disorder (ASD) is a complex developmental issue that affects the behavior and communication abilities of children. It is extremely needed to perceive it at an early age. The research article focuses on attentiveness by considering eye positioning as a key feature and its implementation is completed in two phases. In the first phase, various transfer learning algorithms are implemented and evaluated to predict ASD traits on available open-source image datasets Kaggle and Zenodo. To reinforce the result, fivefold cross-validation is used on the dataset. Progressive pre-trained algorithms named VGG 16, VGG 19, InceptionV3, ResNet152V2, DenseNet201, ConNextBase, EfficientNetB1, NasNetMobile, and InceptionResNEtV2 implemented to establish the correctness of the result. The result is being compiled and analyzed that ConvNextBase model has the best diagnosing ability on both datasets. This model achieved a prediction accuracy of 80.4% on Kaggle with a batch size of 16, a learning rate of 0.00002, 10 epochs and 6 units, and a prediction accuracy of 80.71% on the Zenodo dataset with a batch size of 4, a learning rate of 0.00002, 10 epochs and 4 units. The accuracy of the model ConvNextBase is found challenging in nature as compared to an existing model. Attentiveness is a parameter that will accurately diagnose the visual behavior of the participant which helps in the automatic prediction of autistic traits. In the second phase of the proposed model, attentiveness is engrossed in identifying autistic traits. The model uses a dlib library that uses HOG and Linear SVM-based face detectors to identify a particular facial parameter called EAR and it is used to measure participants' attentiveness based on the eye gaze analysis. If the EAR value is less than 0.20 for more than 100 consecutive frames, the model concludes the participant is un-attentive. The model generated a special graph for a time period by continuously plotting the value of EAR based on the attention level. The average EAR value will depict the attentiveness of the participant.
Mode identification and period fitting in six pulsating hot subdwarfs
Authors: Sahoo S.K. , Baran A.S. , Németh P. , Worters H.L. , Pramod Kumar S. , Joshi S. , Kilkenny D. 
Published: May 2024

Abstract
We report the results of our analysis of six gravity-mode pulsating hot subdwarf stars observed in the short cadence mode by Transiting Exoplanet Survey Satellite. We detected at least 10 pulsation periods in each star, searched for multiplets, and used an asymptotic period spacing to identify modes. We used a grid of evolutionary and pulsation models calculated with the MESA and GYRE, along with spectroscopic parameters and modal degree identification, to derive the physical properties of the stars. We checked the relation between the helium content and pulsations and found that no pulsator exists among the extremely helium-rich hot subdwarfs, while the number of detected pulsators in other helium groups increases as the helium content decreases. We found p- and g-mode hot subdwarfs pulsators in all Galactic populations.
Prototyping future societies: GIGA-mapping and narratives as design material
Authors: Nielsen Brita Fladvad , Rishi Gunika , Bjerck Mari 
Published: May 2024

AbstractIn Norway, the housing challenges faced by migrant workers highlight increasing inequality. Designers striving to create more equitable and sustainable futures must adopt system-oriented tools and human-centered approaches. Utilizing giga-mapping and narratives as prototypes helps reframe issues, enhance communication, and simplify complexity into actionable steps. However, successful outcomes demand refined application and careful attention to communication, necessitating significant investment of time, skills, and effort.
The influence of culture on creativity in ideation: a review
Authors: Gong Zhengya , Gonçalves Milene , Nanjappan Vijayakumar , Georgiev Georgi V. 
Published: May 2024

AbstractThe relationship between culture and creativity has sparked the interest of researchers for decades. Although researchers have attempted to establish a connection between culture and creativity, the precise relationship between the two remains ambiguous. The current paper examined extant literature on the subject matter and synthesized the relations between culture and creativity in ideation over the past twenty years. The present study expounds upon the utilized samples, measures implemented to assess creativity and culture, and the study results.
Evaluating design approaches for encouraging behavior change in editors: exploring a digital nudging strategy in a non-personalized recommender system to promote adoption of augmented analytics
Authors: Heinrich Tanja , Szasz Oliver 
Published: May 2024

AbstractIn the age of digitalization, navigating through vast amounts of data is a challenge. Augmented analytics, which often goes unnoticed by employees, has the potential to support effective decision-making. This study examines the impact of digital nudging on editors' cognitive load and behavioral change towards augmented analytics, providing insights into behavior change design. Combining theory with expert interviews and workshops, this study results in five nudging strategies. The findings reveal varied triggers influencing behavioral change, emphasizing stakeholder involvement in the process.
Unravelling experiences, barriers, and design strategies for encouraging reusable takeaway cup usage
Authors: Herweyers Laure , Du Bois Els , Moons Ingrid 
Published: May 2024

AbstractThe increasing use of disposable takeaway cups negatively affects the environment due to their non-recyclability and waste. This study investigates the adoption and sustained use of reusable takeaway cups in Belgium, including routines and experience. We did structured interviews (n=58), a survey (n=300), diary studies (n=8) and interviews with baristas (n=8). The findings provide recommendations including clear communication, incentives, and user-friendly cup design. Future research should test interventions and consider regional and cultural variations in sustainable coffee consumption.
The EmotionProbe: an exploration of design students’ emotions when designing
Authors: Marji Hazar Taissier , Rodgers Paul , Brisco Ross 
Published: May 2024

AbstractThe emotional experiences significantly impact students' design processes. This research presents the EmotionProbe, a design probe tool for capturing design students' emotions while designing. The tool allows simple data collection, offering important insights into the students' design experiences, introducing the spectrum of emotions that design students go through, and showcasing various analysis approaches, allowing for a richer understanding of the design's emotional dimension. The research highlights the need for an emotional tool supporting students' emotional well-being while designing.
Uncovering rebound effects of sufficiency-oriented product-service systems: a systematic review
Authors: Andrew Elise Marie , van den Bergh Jeroen , Pigosso Daniela C. A. 
Published: May 2024

AbstractThe discourse surrounding sustainable consumption and production has evolved to encompass sufficiency strategies in addition to efficiency and effectiveness. Product-service systems (PSSs) can promote sufficiency by replacing traditional product-intensive systems with dematerialized services and changes in ownership structures. Sufficiency-oriented PSS may, however, generate rebound effects which offset potential sufficiency benefits or even result in backfire. This paper examines the connection between sufficiency-oriented PSS and rebound reviewing 12 empirical studies addressing rebound.
Circular products: the balance between sustainability and excessive margins in design
Authors: Brahma Arindam , Hallstedt Sophie I. , Wynn David C. , Isaksson Ola 
Published: May 2024

AbstractAs the world deals with climate change, it is crucial that new products are designed to be more sustainable. Product design strategies which conform to the Circular Economy principles have recently gained attention, which promote sustainability and resource efficiency. However, such strategies require careful consideration of uncertainties and the ways to mitigate them, e.g. by using margins. The pursuit of circularity can inadvertently lead to overdesign as designers strive to mitigate elevated risks, thereby making a product less sustainable. In this paper, we explore this balance.
What Italian furniture companies do towards sustainable transition? Design actions and strategies showcased during Milan Design Week 2023
Authors: Gramegna Silvia Maria , Mattioli Francesca , Pei Xue 
Published: May 2024

AbstractManufacturing companies find themselves at the crossroads of innovation and sustainability in an era of growing emphasis on corporate social responsibility. This paper delves into Design for Sustainability, aiming to understand the practices Italian design furniture companies are implementing towards sustainability through case studies analysis of sustainable actions (SA) showcased in Milan Design Week 2023. The study categorizes SA according to the Design for Sustainability Framework, determining their role in furniture companies’ transformative learning approaches towards sustainability.
Human interaction with the physical world: a brief review of studies on affordances
Authors: Priya Khyati , Pillai Jayesh , Shende Avinash 
Published: May 2024

AbstractGibson used "affordance" to describe how animals perceive and interact with their environment. Since the term was coined, many studies, both theoretical as well as empirical, have been done. We conducted a review of the 56 most cited works on physical affordances to answer: (1) What methods have been used to study affordances, and how have they changed with time? (2) How has the definition of affordances evolved over time? We went through papers decade-wise and compare their key contributions. Finally, we discuss how the definition and research on affordances has evolved in the last 40 years.
Modelling an ecosystem of business models in a circular value chain: the circular business ecosystem model canvas
Authors: Jamadagni Avyay , Aurisicchio Marco , Nybom Lars 
Published: May 2024

AbstractTo advance the circular economy, there is a need to take an ecosystem view of business models for circularity in which different actors interact dynamically to create economic, environmental and social value. This research introduces the Circular Business Ecosystem Model Canvas, a novel method to prototype a circular ecosystem of business models. The case of ferric chloride, an inorganic coagulant for wastewater treatment, is used to demonstrate the new canvas and show how it supports the development of a more holistic perspective on sustainability-oriented business model innovation.
Data-driven life cycle assessment for mechatronic systems: a comparative analysis of environmental impact assessments
Authors: Krause Artur , Wagenmann Steffen , Ritzer Katharina , Albers Albert , Bursac Nikola 
Published: May 2024

AbstractThe growing emphasis on sustainability integrates eco-design and life cycle analysis into product development. Despite the value of LCAs, data limitations lead to assumptions, impacting accuracy. This study compares an estimation-based LCA with a data-driven approach, focusing on a laser machine's operational phase. The significant influence of resource consumption during operation underscores the necessity of optimization. Applying a data-driven approach reveals a 24% difference compared to the estimation-based method, emphasizing the challenges in obtaining accurate data for effective LCAs.
Selecting sustainability indicators for smart product design based on industry 4.0/5.0 technologies: analysis and proposal of a methodological framework
Authors: Marconnet Bertrand , Gaha Raoudha , Assuad Carla , Martinsen Kristian , Eynard Benoît 
Published: May 2024

AbstractIndustry 4.0 deals with a digital revolution, integrating technologies like Virtual Reality, Augmented Reality, Digital Twin, and Robotics. This transformation unlocks opportunities in engineering, addressing sustainability challenges. Stakeholders use I4.0 technologies, including Industry 5.0, to measure sustainability indicators. This paper reviews I4.0 technologies for assessing sustainability, offering an SI framework in manufacturing and smart product design. Decision-makers can optimize environmental, social, and economic impacts in smart product design using this framework.
Design strategies for consumers’ continued usage of reusable packaging systems (RPSS)
Authors: Miao Xueqing , Magnier Lise , Mugge Ruth 
Published: May 2024

AbstractReusable packaging systems are emerging as a promising solution to combat the growing issue of packaging waste. While consumers generally recognise the environmental advantages of reuse, their actual reuse behaviours may result in insufficient reuse and an unintentional undermining of sustainability efforts. We conducted two creative workshops, created a large number of potential design interventions and further developed them into 16 design strategies for consumers' continued usage of RPSs through thematic analysis. These findings can inspire future research and the development of RPSs.
Incorporating sustainability into product lifecycle management: a systematic literature review
Authors: Seegrün Anne , Hardinghaus Louis , Riedelsheimer Theresa , Lindow Kai 
Published: May 2024

AbstractAmidst environmental, regulatory, and societal pressures, integrating sustainability into Product Lifecycle Management (PLM) is key, evolving into Sustainable PLM (sPLM). This paper uses a systematic literature review and text-mining (C-value method) to categorise sPLM research into clusters, assess their integration at organisational levels, and evaluate the level's maturity. Findings highlight a gap in operational sPLM research. Future studies should bridge the gap between theory and industrial application, enhance sPLM operationalisation, and explore emerging technologies’ impact on sPLM.
Future design narratives: an interdisciplinary approach to a decolonial glossary
Authors: Schon Victoria Rodriguez , Celi Manuela 
Published: May 2024

AbstractAs design evolves, language serves as a bridge between envisioned futures and the ontological elements of design that shape them. This manuscript presents an alternative glossary that gathers words from diverse disciplines and practices intersected by a decolonial lens that challenges hegemonical narratives. The glossary of the world to come results from a three-day workshop that focused on language as a formal, normative, and subversive tool capable of defining future behaviour and destabilizing the present. The terms are some among the many that exist to form this decolonial world.
Explaining the rebound effects of sustainable design: a behavioural perspective
Authors: Van der Loo Imke G. H. , Pigosso Daniela C. A. 
Published: May 2024

AbstractDespite its importance, the understanding of the behavioural mechanisms underlying rebound effects triggered by sustainable design is still limited. Through a systematic literature review, this study analyses and discusses 18 behavioural mechanisms. The key gaps of behavioural research on rebound effects are (1) limited in-depth analysis of different mechanisms (2); lack of clearly defined concepts; and (3) neglect of various research topics. To bring the behavioural understanding of rebound effects and sustainable design to a higher level, four key steps for future research are suggested.
Towards a unified absolute environmental sustainability decoupling indicator
Authors: Villers Manon , Pigosso Daniela C. A. , Howard Thomas J. , McAloone Tim C. 
Published: May 2024

AbstractManufacturing firms are facing the critical need to manage their business growth while staying within the biophysical limits of the planet. Absolute environmental sustainability decoupling (AESD) combines these goals and is one of the keys for manufacturing firms to achieve their sustainable transition. This study offers an initial contribution to categorise decoupling at the firm level while incorporating absolute environmental sustainability goals. It also explores the role of design in achieving AESD and opens doors for further research on manufacturing firms' sustainability transition.
Assessment of empowerment via inclusion of people in product lifecycle processes
Authors: Yaldiz Naz , Chakrabarti Amaresh 
Published: May 2024

AbstractTo address the issue of unbalanced development during a product's lifecycle, a change in the approach to product development processes is necessary. One way to achieve this is by development of the product that encourages the inclusion of people in the entire lifecycle. Inclusion is intended to influence societal empowerment via sharing of power among the people included in the lifecycle. This study proposes a framework for assessment of empowerment by the inclusion of people within a product lifecycle.
Design of a healthcare ecosystem to improve user experience in pediatric urotherapy
Authors: Bladt Lola , Blomme Rose-Farah , Nieuwhof-Leppink Anka J. , Vermandel Alexandra , De Win Gunter , Van Campenhout Lukas 
Published: May 2024

AbstractThis paper addresses challenges in pediatric urotherapy, focusing on low patient compliance and motivation. Informed by creative sessions with children aged 9-13y, a novel urotherapy ecosystem concept is designed. It includes a smart drinking bottle, context-aware reminder watch, home uroflowmeter, smartphone app, and clinician portal. Interconnected products, embodied interaction, stigma-free design, and a digital training buddy aim to enhance engagement, motivation, and patient experience. This concept showcases the potential of integrating diverse design methodologies in healthcare design.
Designing healthcare systems for earlier diagnosis and prevention of dementia
Authors: Newton Coco , Jung Jiwon , Kleinsmann Maaike S. , Clarkson P. John 
Published: May 2024

AbstractRecent clinical trials have successfully slowed Alzheimer's disease dementia progression, but only in early-stage patients. Society must therefore shift to early diagnosis. By framing this is as an engineering design challenge, we argue that a systems approach will identify solutions by providing the means to validate dementia medical technologies from multiple levels and perspectives: society, government, public health, healthcare, and patient ecosystems. We show that new data-enabled design methods can facilitate these different granularities of thinking and outline the need for designers.
Toward a design methodology for configuring assistive wearables
Authors: Rosen David W. , Choi Christina Youngmi , Sinha Anoop Kumar 
Published: May 2024

AbstractWearable devices have some shared characteristics. They should conform to the wearer's size and shape, not interfere with desired activities, perform intended functions, be easily usable and comfortable, among others. Due to these shared characteristics, a common design methodology should be possible for designing wearables that assists designers in taking a systematic approach. We propose a configuration design method for wearables and sketch its elements. An example of a family of passive exoskeleton suits that assists with walking is presented to illustrate the configuration design process.
Design challenges in leveraging binder jetting technology to innovate the medical instrument field
Authors: Cocchi Lorenzo , Mariani Marco , Graziosi Serena , Viganò Roberto , Lecis Nora 
Published: May 2024

AbstractDespite its significant advantages in terms of design freedom and the wide range of processable materials, the Binder Jetting technology has not yet received substantial attention in the healthcare field, especially concerning the fabrication of metal components. Hence, the paper investigates how this technology could be exploited to innovate the medical instrument field. Based on selected case studies, some preliminary design indications are derived on how to properly consider the various phases (i.e., printing, depowdering, and sintering) and related challenges of the Binder Jetting process.
Shame cues: detecting shame in disguise and playing with new perspectives to inform the design process
Authors: Trondsen June Kyong 
Published: May 2024

AbstractThis paper describes the creation of a tool named Shame Cues, a card deck consisting of 64 cards describing sociocultural concepts related to shame. The tool arose as an experiment to articulate an entanglement of diverse shame discourses into something relevant for designers. Building on the experience of using Shame Cues, the paper discusses how Shame Cues can support exploring the role of shame as given implicitly, through cultural manifestations, and in a practical sense, and how such an investigative lens can inform designers with more critical perspectives.
A Bayesian expert system for additive manufacturing design assessment
Authors: Rogers Benedict Alexander , Campbell Neill , Dhanda Mandeep , Lunt Alexander James George , Pegg Elise Catherine , Dhokia Vimal 
Published: May 2024

AbstractTools for analysing additive manufacturability often employ complex models that lack transparency; this impedes user understanding and has detrimental effects on the implementation of results. An expert system tool that transparently learns features for successful printing has been created. The tool uses accessible data from STL models and printer configurations to create explainable parameters and identify risks. Testing has shown good agreement to print behaviour and easy adaptability. The tool reduces the learning curves designers face in understanding design for additive manufacturing.
Nature's lessons, AI's power: sustainable process design with generative AI
Authors: Mas'udah Mas'udah , Livotov Pavel 
Published: May 2024

AbstractIn the realm of process engineering, the pursuit of sustainability is paramount. Traditional approaches can be time-consuming and often struggle to address modern environmental challenges effectively. This article explores the integration of generative AI, as a powerful tool to generate solution ideas and solve problems in process engineering using a Solution-Driven Approach (SDA). SDA applies nature-inspired principles to tackle intricate engineering challenges. In this study, generative AI is trained to understand and use the SDA patterns to suggest solutions to complex engineering challenges.
An AI-based prosthesis framework fostering an adaptive amputee healthcare service
Authors: Patiniott Nicholas , Borg Jonathan C. , Francalanza Emmanuel , Zammit Joseph P. , Vella Pierre , Gatt Alfred , Byhain Kristin Paetzold 
Published: May 2024

AbstractDespite technological and medical advances, amputations continue to increase. Amputees face significant challenges when acquiring and using prosthetic devices, challenges which are made worse as their emotional needs, aspirations, mobility, prosthesis requirements and problems change over time. These challenges require custom solutions for each individual amputee, a fact that current amputee centered prosthesis services tend to ignore. The work reported in this paper contributes an AI based Prosthesis Development Service Framework to cater for the current and evolving needs of amputees.