This paper presents a case study within a small manufacturing company, engaging in the early phases of co-designing Mixed Reality assembly instructions. Using generative tools through two co-design workshops, we engaged the participants in reflecting, visualising and defining their processes, needs, challenges and future ways of working in relation to new technological applications. We gained insights into the participants’ current practices and identified areas where new technologies could improve these practices. We co-designed a lock assembly instruction paper prototype to use as support for future MR development, focused on their apprenticeship training. We also uncovered other areas of technological implementation, setting the framework for co-designing a customised production system.

Facing increasingly dynamic market environments and global challenges such as climate change and resource scarcity, companies are under constant pressure to innovate and remain competitive. As technology is a key enabler, companies need to understand the drivers of technological change. Technology Foresight systematically identifies and analyzes emerging technologies to support engineering design decisions. However, the growing volume of data is outpacing manual processing capabilities. This research explores the integration of Generative AI to enhance Technology Foresight by automating technology analysis and information synthesis. This paper presents a comprehensive problem analysis, reviews existing solutions, and proposes a framework that demonstrates the potential of Large Language Models combined with a Retrieval Augmented Generation architecture to transform Technology Foresight.

This introduction to a special issue of BJHS concerned with intermedial approaches to the history of the public culture of science (those that pay attention to the forms of different science media and how they relate to each other) also stands as an argument for such approaches. It amplifies a trend within humanities and social-science approaches to its subject of studying the interactions between science, media and publics as complex historical phenomena – in comparison with evaluative research approaches that seek to make science communication more effective. It argues for the virtues of going beyond most existing scholarship in the field by considering many media together. Drawing on the work of media studies scholars Irina Rajewsky and Klaus Bruhn Jensen, it introduces working definitions of intermediality. It then explores historically the genealogies of intermediality, which emerges as an entanglement of changing disciplines, technological change and media practice. Two brief sections take the example of museum display in this intermedial context with the aim of showing first that museum practice was already intermedial before it was considered to be ‘one of the media’. It then concludes by showing how, and in what circumstances, the mediatization of museums came to seem necessary.

This article presents a print history of the International African Service Bureau journal International African Opinion and its little-known editor Ras T. Makonnen. In doing so, it makes the case for a reassessment of how we think about anti-colonial movements in interwar Britain. It argues that Pan-Africanism can be viewed as a loose network of anti-colonial activists, where political ideas were fluid and often in competition with one another, yet still operated harmoniously under the wider banner of Pan-Africanism. By analysing the place of print in this competition it demonstrates the role of the history of print within wider histories of empire and anti-colonialism, as well as functions as an engagement with Black British history and histories of Black internationalism.

How and why do armed groups that become known as “rebels” initially use violence? New datasets show that such violence is often small in scale. Numerous empirical examples indicate that it is also often ambiguous—not easily identified as a precursor to anti-state rebellion. This paper seeks to explain these patterns. We argue that a variety of fledgling nonstate armed groups find small-scale, anonymous anti-state violence useful, despite the risks. Therefore, armed groups that later become distinguishable as “rebels” or “bandits” often initially use this similar repertoire of violence. The resulting ambiguity of this violence—for outsiders from states to scholars—presents an opportunity for aspiring rebels, since states struggle to discern the threat they pose. Ambiguity lessens when aspiring rebels opt to use offensive, larger-scale violence. We illustrate our claims with three historical case studies that enable close examination of early armed group violence, as well as 12 brief case vignettes. Our analyses show the promise of integrating research on rebel origins, criminality, and state formation.

The intersection of design and narrative plays a crucial role in shaping meaningful experiences. While narrative experience has been explored in product design, its role in service design remains underdeveloped. This study introduces a narrative-driven service design approach, integrating narrative to enhance user experiences. Using a Research through Design methodology, ten digital service prototypes were developed, embedding “stories of moments of joy” as a design foundation. Findings suggest that starting with narratives fosters deeper emotional engagement and enhances service interactions. Participant feedback highlights how this approach provides an alternative to traditional problem-solving models, emphasizing narrative-driven innovation in service design. By positioning narrative as a central design element, this study contributes to advancing service design methodologies.

Recent advancements in machine learning (ML) offer substantial potential for enhancing product development. However, adoption in companies remains limited due to challenges in framing domain-specific problems as ML tasks and selecting suitable ML algorithms, requiring expertise often lacking. This study investigates the use of large language models (LLMs) as recommender systems for facilitating ML implementation. Using a dataset derived from peer-reviewed publications, the LLMs were evaluated for their ability to recommend ML algorithms for product development-related problems. The results indicate moderate success, with GPT-4o achieving the highest accuracy by recommending suitable ML algorithms in 61% of cases. Key limitations include inaccurate recommendations and challenges in identifying multiple sub-problems. Future research will explore prompt engineering to improve performance.

Advertisements play a key role in shaping perceptions of gender identity, which are influenced by biological traits and cultural beliefs. In India, practices like arranged marriages have historically defined gender roles, but younger generations are increasingly challenging these norms, especially through dating apps. This study examines how dating app advertisements address gender dynamics and societal challenges in India. By applying Barthes’ Semiotic theory, we analyzed a popular Bumble ad. The findings reveal how the ad promotes female agency, subverts gender norms, and portrays men as emotionally expressive. By blending modern technology with family values, the ad presents dating as empowering and respectful, challenging rigid societal norms. The study promotes inclusivity and shows how ads reshape gender narratives, and offers insights for creating socially responsible campaigns.

Ponzi schemes are financial frauds that are pervasive throughout the world. Since they cause serious harm to society, it is of interest to study them so that they can be prevented. Typically, a Ponzi scheme is instigated by a promoter who promises above-average investment returns. He uses funds from the early investors to pay his later investors. These scams can occasionally last a long time, but they are ultimately unsustainable. This paper describes some well-known Ponzi schemes and identifies their common characteristics. We also review some of the approaches used to model Ponzi schemes.

Visual-Language (VL) models offer potential for advancing Engineering Design (ED) by integrating text and visuals from technical documents. We review VL applications across ED phases, highlighting three key challenges: (i) understanding how functional and structural information is complementarily expressed by text and images, (ii) creating large-scale multimodal design datasets and (iii) improving VL models’ ability to represent ED knowledge. A dataset of 1.5 million text-image pairs and an evaluation dataset for cross-modal information retrieval were developed using patents. By Fine-tuning and testing the CLIP base model on these datasets, we identified significant limitations in VL models’ capacity to capture fine-grained technical details required for precision-driven ED tasks. Based on these findings, we propose future research directions to advance VL models for ED applications.

Worldbuilding is a concept that has been used to describe the creation of immersive landscapes in fiction and games and is deeply resonant with archaeological knowledge construction. This article argues for worldbuilding in archaeology as a creative intervention that encourages an exploration of archaeological data throughout the process of creation, interpretation and dissemination to generate past worlds, shaped through community storytelling. Through the examples of Çatalhöyük in Second Life, Other Eyes and the Avebury Papers projects, I explore a playful practice that closely interrogates reuse of archaeological data and encourages lateral thinking amongst students and other archaeological storytellers.

To support the transition towards a circular economy in hospitals, this qualitative study aimed at understanding how the adoption of reusable surgical gown can be facilitated. It investigates design features that enhance usability and promote sustained (re)use. A wearing test identified difficulties in wearing reusable gowns. Data collection included observations of 34 surgeries and a survey completed by 73 respondents. Thematic analysis revealed opportunities to improve usability, such as optimising packaging to speed up donning, a wider neck opening to reduce discomfort, and incorporating ‘tearable’ closures to simplify doffing. Innovation strategies relevant to the users involve thermal regulation, monitoring gown performance, and including reusable gowns in custom procedure tray packaging. These findings are discussed in relation to design adjustments and value-chain partners.

CAD tasks require engineering designers to manage cognitive, perceptual, and motor demands while solving complex design problems. Understanding the relationship between workload (WL) and CAD performance is essential for improving design outcomes and processes. However, this relationship, particularly under varying task complexities, remains insufficiently explored. This study investigates WL-performance relationships in two CAD modelling tasks of differing complexity. WL was measured with NASA TLX, including its individual components. CAD performance was evaluated and described through outcomes and processes using multiple metrics. The results revealed significant monotonic relationships between WL and performance, with stronger correlations in the high-complexity task.

This article explores the underlying causes of vigilantism, moving beyond existing explanations to propose a novel perspective: state absenteeism. Drawing upon an original dataset collected at the subnational level in Guatemala, the study utilizes police station data as a proxy measure of state presence. This research article sheds light on the intricate dynamics driving vigilantism by analyzing the interplay between state actions, security provision, and the emergence of extralegal justice mechanisms. Empirical findings suggest that existing theories do not fully explain the surge in vigilantism, underscoring the importance of considering state provision of security at the subnational level. This theoretical and empirical contribution highlights the role of uneven state presence in shaping responses to insecurity and calls for more equitable and locally responsive security provision to address the root causes of extralegal justice.

This paper explores the employment implications of integrating service robots in waste management. Using the scenario technique method, 14 critical influencing factors were identified and analyzed to develop a Best-Case, Worst-Case, and Trend scenario. A SWOT analysis was used to identify implications and develop measures. The findings indicate that service robots can enhance working conditions and enable service expansion but pose risks like job displacement without proper education and reskilling. The study underscores the need for regulatory frameworks, workforce adaptation, and education to ensure socially sustainable robotic integration.

A design catalog is a repository of design problems and their solutions, enabling designers to explore and discover applicable solutions for their specific design challenges. Creating such catalogs has depended on human knowledge and implicit judgment, with no systematic approach established. This study aims to develop a systematic method to create a design catalog from patent documents. We utilize a large language model (LLM) to extract problem-solution pairs described in the documents, presenting them as general purpose-means pairs. Subsequently, we create a design catalog by classifying the problems using similarity-based clustering, enhanced by the LLM’s semantic text similarity capabilities. We demonstrate a case study of creating a design catalog for martial arts devices and generating new design concepts based on the catalog to verify the effectiveness of the proposed method.

Extending the lifetime of products is one objective of a Circular Economy. The lifetime of a vehicle is limited not only by wear, but also by declining customer satisfaction. Customer satisfaction is related to the different types of quality. Components aim for different types of quality. That is why modularization is seen as a possible enabler to facilitate both durability and adaptability in the vehicle structure. Additionally, extending their lifetime integrates passenger vehicles into a Circular Economy. This paper aims to define classes of components to support the development of a modular structure for passenger vehicles that is suitable for a Circular Economy. It provides four classes based on the relevance of components to customer satisfaction and their expected lifetime. This enables the targeted development of R-strategies for components.

The EU AI Act (Regulation (EU) 2024/1689) represents a significant departure from the EU’s traditionally restrained regulatory approach to commercial arbitration. The Act classifies certain use cases of AI in arbitration as potentially “high-risk” and introduces stringent compliance obligations for legal tech providers, arbitral institutions and arbitrators. This article argues that the Act’s application to arbitration disrupts the long-standing balance between party autonomy, procedural flexibility and regulatory oversight that has characterised the EU’s treatment of the field. It also highlights the challenges of reconciling its rigid framework with key aspects of arbitration – namely, party autonomy, confidentiality and procedural flexibility. The article concludes by proposing a full or partial carve-out of commercial arbitration from the scope of the AI Act’s high-risk provisions.

Organizational capability is key to achieving strategic goals and adaptability. This study applies the TASKS framework to evaluate taskload, affect, skills, knowledge, and stress using a questionnaire developed through the Environment-Based Design (EBD) methodology. A structured perception-centered evaluation was conducted to assess employees’ perceptions of organizational alignment, with middle managers’ responses serving as a reference. Findings emphasize the need for better communication, leadership engagement, and goal clarity to enhance transformation readiness. The TASKS framework’s perception-centered evaluation assesses organizational capability and identifies role-based misalignments. Future research will expand the framework’s application to validate its effectiveness and refine strategies for enhancing organizational capability.

In the context of volatile markets, characterised by a need for continuous product development involving module-wise product modifications, the importance of flexibility as an attribute of products and their production system has been increasing. This paper presents a methodological approach focusing on the flexibility evaluation of modules regarding their interfaces. The subject encourages engineers and researchers to analyse and rethink the interface design and the location of module boundaries regarding change propagation. The method was validated using the Design Method Validation System (DMVS) to determine its usefulness, applicability and acceptability. The design workshop for validation was applied to a product family of trunk lids by employees of a German car manufacturer.