bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthetic Heritage: Online platforms, deceptive genealogy and the ethics of algorithmically generated memory
Authors: Nieto McAvoy Eva , Kidd Jenny 
Published: May 2024

Abstract
Services offered by genealogy companies are increasingly underpinned by computational remediation and algorithmic power. Users are encouraged to employ a variety of mobile web and app plug-ins to create progressively more sophisticated forms of synthetic media featuring their (often deceased) ancestors. As the promotion of deepfake and voice-synthesizing technologies intensifies within genealogical contexts – aggrandised as mechanisms for ‘bringing people back to life’ – we argue it is crucial that we critically examine these processes and the socio-technical infrastructures that underpin them, as well as their mnemonic impacts. In this article, we present a study of two AI-enabled services released by the genealogy company MyHeritage: Deep Nostalgia (launched 2020), and DeepStory (2022). We carry out a close critical reading of these services and the outputs they produce which we understand as examples of ‘remediated memory’ (Kidd and Nieto McAvoy 2023) shaped by corporate interests. We examine the distribution of agency where the promotion by these platforms of unique and personalised experiences comes into tension with the propensity of algorithms to homogenise. The analysis intersects with nascent ethical debates about the exploitative and extractive qualities machine learning. Our research unpacks the social and (techno-)material implications of these technologies, demonstrating an enduring individual and collective need to connect with our past(s), and to test and extend our memories and recollections through increasingly intense and proximate new media formats.
Friends or Foes within the Pan-Slavic Brotherhood: A Narrative Analysis of Aleksandar Vučić’s Stance on Russia’s Aggression Against Ukraine
Authors: Němec Jiří , Zorić Bojana 
Published: May 2024

Abstract
Amidst the Russian aggression against Ukraine, peace and stability within the geostrategic region of the Western Balkans have come under the spotlight. While some have called for the “denazification” of the Balkans, others have firmly supported Ukraine. Among the six non-European Union states in the Balkans, the Republic of Serbia is perceived as the most visible and longstanding supporter, akin to a brotherly state, of the Russian Federation. This article aims to investigate President Vučić’s narrative in his Addresses to the Nation concerning the war in Ukraine. The objective is to gain a better understanding of Serbia’s foreign policy positioning with regard to the conflict in Ukraine. Anchored in the Regional Security Complex theory, the article examines President Vučić’s Addresses to the Nation from February 2022 to February 2023, revealing Serbia’s consistent insistence on independent decision-making in foreign policy matters, including in the context of the war in Ukraine. These Addresses to the Nation further reinforce the notion of Serbia’s multi-vector foreign policy, while also utilizing the war in Ukraine to reignite public discussions on the importance of Kosovo to Serbia’s foreign policy.
Mediators of the relationship between physical indoor spaces and individual creativity
Authors: McTeague Chris , Thoring Katja 
Published: May 2024

AbstractWorkspaces can enhance the creativity of the designers that occupy them. Here, we review experimental studies of creative spaces to identify constructs that mediate (explain) the relationship between physical spaces and creative performance. Through a literature review of 8 journal articles comprising 13 experiments, we identify 14 constructs involving cognitive, affective and physiological components. Knowledge of these mediators can help researchers to formulate hypotheses, select control variables, and develop conceptual models and theories of creative spaces in design.
Design to fail? The reasonably foreseeable failure and misuse
Authors: Schaub Harald , Badke-Schaub Petra 
Published: May 2024

AbstractThis paper examines the critical concept of "reasonably foreseeable failures and misuse" in product design. The psychology of failures and the ethical/legal implications are highlighted. The approach aims to provide a comprehensive understanding of the challenges associated with integrating reasonably foreseeable user failure and misuse into the design process. By taking a proactive approach to failure and misuse, designers can not only increase product safety, but also stimulate innovation that takes into account a wide range of user behaviour, including in unexpected circumstances.
Towards cycling engagement by mapping design interventions to observed barriers: an example from Glasgow's bike share programme
Authors: Shepherd Mia , Shealy Tripp , Urquhart Lewis , Harrington Deirdre , Maier Anja 
Published: May 2024

AbstractThe benefits of cycling are well-established, but how to engage people with bikes for active travel is far less understood. This study offers insights into the motivations, barriers, and design solutions associated with cycling. Interviews with 30 bike-share users in Glasgow, UK found a key motivation to be commuting time efficiency and the predominant barrier was shared space with vehicles. Alignment between the most mentioned design solution, dedicated cycling lanes, and the significant barrier of sharing space with vehicles underscores the importance of behavioural design interventions.
Co-design in virtual environments with 3D scanned childcare rooms in social virtual reality
Authors: Taoka Yuki , Nakatani Momoko , Sato Takumi , Kagohashi Kaho , Iwasawa Fuyumi , Hasegawa Shouichi , Owada Shigeru , Saito Shigeki 
Published: May 2024

AbstractThis research proposes a virtual environment (VE) for co-designing in early childhood education and care settings using a social VR platform with 3D-scanned childcare rooms. Co-design workshops were analyzed focusing on perceived presence and experience and workshop outcomes. The results indicate a high level of presence in the VE, with unique advantages like facilitating 3D prototyping. However, challenges such as unbalanced prototyping tools distribution were also noted. The study highlights the potential of VEs with 3D scanned rooms in co-design.
An EEG study to understand semantic and episodic memory retrieval in creative processes
Authors: Yin Yuan , Childs Peter 
Published: May 2024

AbstractThis study aimed to identify and compare the EEG activities associated with semantic and episodic memory retrieval during creative processes. Episodic and semantic memory induction studies were conducted and EEG was used to collect data. The results showed that (i) Episodic and semantic memory retrieval are related to the frontal lobe area; (ii) Semantic memory retrieval is evoked more swiftly compared with episodic memory retrieval (ii) Prior to episodic memory retrieval, semantic memory retrieval is evoked first.
Interdisciplinary Transition Innovation, Management, and Engineering (InTIME) Design: an intersection analysis of design approaches for whole-system sustainability
Authors: Ahrens Florian , Krumdieck Susan , Kenning Daniel 
Published: May 2024

AbstractInterdisciplinary transition innovation, management, and engineering (InTIME) Design has been developed to overcome sustainability transition challenges in complex systems. The intersections of InTIME Design with a range of reported design for sustainability (DfS) approaches were analysed. Results demonstrate similar core principles across DfS approaches. InTIME Design accomplishes convergence of the studied approaches, and organises the DfS approaches into workflow phases, adds a complimentary wicked problem definition, and deploys systems engineering problem solving.
Product-service systems in large automotive OEMs: characterising the decision-making process when developing and introducing vehicle sharing/pooling schemes
Authors: Burtnik Urueta Lucia C. , Dekoninck Elies 
Published: May 2024

AbstractAutomotive OEM introduced Product-Service Systems in the past 20 years, challenging their traditional business model. A qualitative study was developed to characterise the decision-making process across 6 case studies, and similar patterns across different enabled the identification of lessons learned and possible future implications. All PSS initiatives were introduced following an Agile/Lean experimental approach, but the opportunistic nature of trials casts doubts in future validity. New testing methods that generate more robust conclusions need to be developed.
Scenario building guidelines for sustainable innovation
Authors: Haeberle François , Parolin Giácomo , Pigosso Daniela C. A. 
Published: May 2024

AbstractThe integration of sustainability into highly uncertain technology development is key to support manufacturing companies to reduce their environmental impacts. The use of future scenarios to support decision-making in early design for sustainability is promising, but there is a lack of systematic guidelines on how to build them. Through literature review and empirical research scenario-building guidelines were designed. The guidelines are step-by-step activities to be performed in workshops. Results suggest the guidelines were successful in building consistent, plausible, and useful scenarios.
Systems thinking towards holistic, sustainability-oriented assessment and decision-making for lightweighting
Authors: Johnston-Lynch Katharina , Whitfield Robert Ian , Evans Dorothy 
Published: May 2024

AbstractMultiple industries have hailed lightweighting promise to reduce the mass of their product at equivalent or improved performance. Lightweighting as a strategy encompasses lightweight end-product desired attributes and through-life processing decisions. Assessment of lightweighting gathers information for decision-making towards the optimization of these strategies. An exploratory study, using systems thinking is conducted, to identify requirements of lightweighting and its assessment in terms of holistically defining its impact on the sustainability of its background system, the Earth.
Replication studies in engineering design – a feasibility study
Authors: Rode Jonas , Jonuschies Ingo , Matthiesen Sven , Gericke Kilian 
Published: May 2024

AbstractThis paper examines the replicability of studies in design research triggered by the replication crisis in psychology. It highlights the importance of replicating studies to ensure the robustness of research results and examines whether the description in a publication is sufficient to replicate. Therefore, the publication of a reference study was analysed and a replication study was conducted. The design of the replication study appears similar to the reference study, but the results differ. Possible reasons for the differences and implications for replication studies are discussed.
Driving sustainable mobility: a study of electric vehicle adoption in rural India
Authors: Satpute Aniruddh Dnyandeo , Rai Parinita , Onkar Prasad 
Published: May 2024

AbstractThe global push for sustainable and eco-friendly transportation solutions has made the adoption of electric vehicles imperative. In India, EV adoption has shown promise, fueled by diverse product offerings and supportive government policies. However, rural India lags behind in EV adoption, despite being a significant market. To unlock the untapped potential, understanding the needs, attitudes, and barriers of rural consumers is crucial. This research conducts a study of rural Indian consumers and offers valuable design insights for automotive companies to formulate effective future strategies.
Integration of sustainability into product development: insights from an industry survey
Authors: Vilochani Sachira , McAloone Tim C. , Pigosso Daniela C. A. 
Published: May 2024

AbstractSustainable Product Development (SPD) enables the systematic incorporation of sustainability into product development and can be achieved by implementing a number of management practices. An industry survey was conducted to investigate the capability of manufacturing companies to apply a consolidated set of 61 SPD management practices. The results indicate that despite the high interest for SPD, the uptake of SPD practices in industry is still behind the state-of-the-art literature. Hence, a greater improvement opportunity exists in the industrial uptake in SPD.
Towards designing for health outcomes: implications for designers in eHealth design
Authors: Ornelas Hosana Cristina Morales , Kleinsmann Maaike S. , Kortuem Gerd 
Published: May 2024

AbstracteHealth development faces the challenge of generating evidence about health effectiveness in real-world settings. Designers can potentially support this challenge but must understand health approaches to evidence generation about health outcomes. This case study investigates how health and care professionals conceptualise health outcomes and their evidence generation in eHealth. Our results identify three key conceptual dimensions: effect, meaning, and collection. We discuss how these inform future design competencies to support evidence generation about health outcomes in eHealth design.
Evaluating a web-based guide for designing digital patient experiences: preliminary results of a user test with design students
Authors: Wang Tingting , Wang Yun , Clarkson P. John , Rietjens Judith , Melles Marijke 
Published: May 2024

AbstractWe created a web-based design guide to transfer our previous research findings to better support design education in the digital health design area for improving patient experience. To seek insights to iteratively improve the design guide, we conducted a workshop with 19 MSc students who specialized in design for healthcare. The guide was perceived as having the potential to improve their understanding of digital PEx improvements, but the content clarity and information presentation need to be improved.
Additively manufactured 3D micro scarf adhesive joints
Authors: Ascher Michael , Späth Ralf 
Published: May 2024

AbstractHybrid manufacturing enables to overcome additive manufacturing (AM) constraints regarding the maximum feasible part dimension and/or complexity through part separation and subsequent adhesive joining of AM sub-parts. To ensure structural integrity of the joint at a minimum use of substrate volume, the AM inherent freedom of design can be exploited by realizing 3D micro scarf adhesive joints. The performance of this novel adhesive joint design was assessed by conducting optical measurements and static tensile tests using samples fabricated by laser-based powder bed fusion of metals (PBF-LB/M).
An analytic cost model for bound metal deposition
Authors: Sartini Mikhailo , Bianchi Iacopo , Vita Alessio , Germani Michele , Mandolini Marco 
Published: May 2024

AbstractMetal material extrusion is a family of metal additive manufacturing that includes atomic diffusion additive manufacturing (ADAM) and bound metal deposition (BMD). In the literature, there are just a few cost models for ADAM and no one for BMD. The paper presents an analytic cost model for BMD. It considers the entire process: pre-processing, printing and post-processing. The total manufacturing cost is split into material, machine, labour, energy and consumables items. The cost model validation on a 3D-printed part determined an accuracy of 98%.
Extending the function failure modes taxonomy for intelligent systems with embedded AI components
Authors: Campean Felician , Yildirim Unal , Korsunovs Aleksandr , Doikin Aleksandr 
Published: May 2024

AbstractEarly consideration of failure modes in the feature development process is essential to identify and trace risks across the physical and embedded AI components of intelligent systems, to enhance the robustness of the feature delivery as well as trust in the AI. This paper introduces an extension of the AIAG/VDA function failure modes taxonomy, to facilitate the integrated analysis of complex intelligent systems with embedded AI. A case study of an autonomous driving feature is discussed as validation of the proposed taxonomy.
Generative large language models in engineering design: opportunities and challenges
Authors: Chiarello Filippo , Barandoni Simone , Majda Škec Marija , Fantoni Gualtiero 
Published: May 2024

AbstractDespite the rapid advancement of generative Large Language Models (LLMs), there is still limited understanding of their potential impacts on engineering design (ED). This study fills this gap by collecting the tasks LLMs can perform within ED, using a Natural Language Processing analysis of 15,355 ED research papers. The results lead to a framework of LLM tasks in design, classifying them for different functions of LLMs and ED phases. Our findings illuminate the opportunities and risks of using LLMs for design, offering a foundation for future research and application in this domain.
A novel approach towards utilizing graph analyzing objects arrangement – case studies from Airbnb homes in New York and Boston
Authors: Yao Yanhua 
Published: May 2024

AbstractThe spatial arrangement of objects in residential environments is a crucial indicator of occupant behavior, shedding light on the complex dynamics of their interaction with the interior. This study introduces an object-based graph method for decoding urban home interiors, examining the co-presence of objects to uncover domestic behavioral patterns through indoor imagery analysis. By integrating centrality metrics with objects in graphs, we gain deeper insights into household behaviors, which provide empirical evidence for future interior design.
Sketch2Prototype: rapid conceptual design exploration and prototyping with generative AI
Authors: Edwards Kristen M. , Man Brandon , Ahmed Faez 
Published: May 2024

AbstractSketch2Prototype is an AI-based framework that transforms a hand-drawn sketch into a diverse set of 2D images and 3D prototypes through sketch-to-text, text-to-image, and image-to-3D stages. This framework, shown across various sketches, rapidly generates text, image, and 3D modalities for enhanced early-stage design exploration. We show that using text as an intermediate modality outperforms direct sketch-to-3D baselines for generating diverse and manufacturable 3D models. We find limitations in current image-to-3D techniques, while noting the value of the text modality for user-feedback.
A survey on the industry's perception of digital twins – a follow-up to the digital twin workshop at the DESIGN Conference 2022
Authors: Fett Michel , Zwickler Julius , Wilking Fabian , Goetz Stefan , Schweigert-Recksiek Sebastian , Hicks Ben , Nespoli Oscar , Wärmefjord Kristina , Wartzack Sandro , Kirchner Eckhard 
Published: May 2024

AbstractDigital Twins are perceived differently between and within industry and academia regarding applications and potentials. For this reason, a round table was formed based on the Digital Twin Workshop of the Design Conference 2022. One of the results of this round table is this contribution, which deals with a survey within the industry. The survey captured the understanding of the different roles in the creation and use of Digital Twins, the requirements and hurdles as well as the perception of methodological support. In addition, factors that influence the perception were identified.
Towards the extraction of semantic relations in design with natural language processing
Authors: Giordano Vito , Consoloni Marco , Chiarello Filippo , Fantoni Gualtiero 
Published: May 2024

AbstractNatural Language Processing (NLP) has been extensively applied in design, particularly for analyzing technical documents like patents and scientific papers to identify entities such as functions, technical feature, and problems. However, there has been less focus on understanding semantic relations within literature, and a comprehensive definition of what constitutes a relation is still lacking. In this paper, we define relation in the context of design and the fundamental concepts linked to it. Subsequently, we introduce a framework for employing NLP to extract relations relevant to design.
Minimizing occupant loads in vehicle crashes through reinforcement learning-based restraint system design: assessing performance and transferability
Authors: Mathieu Janis , Gupta Parul , Di Roberto Michael , Vielhaber Michael 
Published: May 2024

AbstractThe optimization of mechanical behavior in safety systems during crash scenarios consistently poses challenges in vehicle development. Hence, a reinforcement learning-based approach for optimizing restraint systems in frontal impacts is proposed. The trained agent, which adjusts five parameters simultaneously, is capable of minimizing loads on a seen and unseen anthropomorphic test device on the co-driver position and is thus able of transferring knowledge. A hundred times higher rate of convergence to reach a similar optimum compared to a global optimization algorithm has been achieved.
Inspiration or indication? Evaluating the qualities of design inspiration boards created using text to image generative AI
Authors: Ranscombe Charlie , Tan Linus , Goudswaard Mark , Snider Chris 
Published: May 2024

AbstractThis study explores the application of image generative AI to support design process by creating inspiration boards. Through an evaluative study, we compare the diversity, quantity, fidelity, and ambiguity of boards generated by image generative AI and traditional methods. The results highlight how generative AI produces a quantity of images, it exhibits limited diversity compared to traditional methods. This suggests a tendency for supporting interpolation rather than extrapolation of ideas, in turn providing insights on best practice and into the optimal stage for its application.
Human-AI collaboration by design
Authors: Song Binyang , Zhu Qihao , Luo Jianxi 
Published: May 2024

AbstractHuman-AI collaboration (HAIC) is a promising strategy to transform engineering design and innovation, yet how to design artificial intelligence (AI) to boost HAIC remains unclear. Accordingly, this paper provides a new, unified, and comprehensive scheme for classifying AI roles. On this basis, we develop an AI design framework that outlines expected AI capabilities, interactive attributes, and trust enablers across various HAIC scenarios, offering guidance for integrating AI into human teams effectively. We also discuss current advancements, challenges, and prospects for future research.
Crisis: a driver for tourism innovation and service design?
Authors: Ericson Åsa , Lugnet Johan , Styvén Maria Ek , Zobel Thomas 
Published: May 2024

AbstractTourism entrepreneurs adapted to regulations during COVID-19 by introducing creative solutions. The crisis was said to be a unique opportunity for innovating sustainable businesses. This study investigates crisis as a driver for innovation and its relevance to service design. Interviews with entrepreneurs are the empirical base that highlights that finetuning existing services is an established approach instead of innovative service design. Few expressed lessons were learned from the creative solutions made during the pandemic, suggesting that strategies for innovation need to be developed.
Implementing an open innovation process in the premium marine industry
Authors: Burgess Jonathan , Fanner Rob , McLening Christian 
Published: May 2024

AbstractDesign and manufacturing innovations are important competitive attributes in the premium marine sector. The adoption of an open innovation process has the potential to deliver behavioural and technological transformation. This pilot study illustrates an open innovation approach to explore the benefits of digital innovation when designing new products within the premium marine industry. The research demonstrates how an open innovation approach will flourish when focused on co-creation in collaboration with a network of cross-functional partners.