This article outlines a human-centered approach to developing digital patient stories, for sharing their experiences in health care, while preserving patient and others’ privacy. Employing a research-through-design approach, the study proposes a design solution using visualization and digital storytelling to document patients’ and families’ experiences and emotions, as well as their interactions with healthcare professionals in the postnatal unit. By transforming selected observational data into animated stories, this approach has the potential to elicit empathy, stimulate stakeholder engagement, and serve as a practical training tool for clinicians. This work was conducted as part of a broader study that aims to contribute to the existing knowledge base by advancing our understanding of stakeholder needs in birthing facilities and through postpartum discharge. This study primarily focuses on strategies for the development of digital stories and summarizes the factors that contributed to the production of digital stories within the context of sensitive data. It may serve as a valuable resource for students, researchers and practitioners interested in utilizing digital stories to encourage discussions, education and ultimately to enhance systems of health care for respect, equity and support.

Despite the recognized importance of datasets in data-driven design approaches, their extensive study remains limited. We review the current landscape of design datasets and highlight the ongoing need for larger and more comprehensive datasets. Three categories of challenges in dataset development are identified. Analyses show critical dataset gaps in design process where future studies can be directed. Synthetic and end-to-end datasets are suggested as two less explored avenues. The recent application of Generative Pretrained Transformers (GPT) shows their potential in addressing these needs.

During a design process, designers are supported by several purposive product models. To enable designers to switch between them, researchers need to consider the linking of product models during their development. To assist researchers in doing so, the capabilities of a standardizing description approach, stances towards product models, was investigated. The results show that the description approach was able to identify indicators of linking possibilities by facilitating comparability. This is a step towards assisting researchers in considering the linking of product models systematically.

This study explores how large language models like ChatGPT comprehend language and assess information. Through two experiments, we compare ChatGPT's performance with humans', addressing two key questions: 1) How does ChatGPT compare with human raters in evaluating judgment-based tasks like speculative technology realization? 2) How well does ChatGPT extract technical knowledge from non-technical content, such as mining speculative technologies from text, compared to humans? Results suggest ChatGPT's promise in knowledge extraction but also reveal a disparity with humans in decision-making.

Weak ties contribute to an individual's happiness, health and career, yet networking events supporting weak ties are often considered ineffective and unenjoyable. More support is needed to aid the design of these experiences. This inductive qualitative study explores how weak tie interactions occurred in a 3-day event for a professional networking community. Data was collected from multiple behavioural settings through direct observation, semi-structured interviews and archival data. Results highlight five structures underpinning weak tie interactions and associated implications for design.

The 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.

The point has repeatedly been made that validation is a crucial success factor in demonstrating the scientific contribution and ensuring the adoption of results. Still, researchers in design science validate their research findings too infrequently. We must all evaluate our claimed contributions on open benchmarks to improve validation quality and foster cumulative research. In this paper, we propose a meta-model to standardise and operationalise the concept of open scientific benchmarks in design science and to guide communities of researchers in the co-development of scientific benchmarks.

Supporting product developers in innovating is an important task of design research. An invention and a valid need situation described through a product profile are necessary elements of innovation. But how can we derive recommendations on how to develop “innovative” products if the success of a product can only be measured retrospectively? Retrospective case studies are one approach to investigate relationships between context factors, variations in systems and product profiles, and innovation success. To investigate these, we use product profiles in case studies across system generations.

Design hackathons offer a unique research opportunity to study time-pressured collaborative design. At the same time, research on design hackathons faces unique methodological challenges, prompting the exploration of new research approaches. This paper proposes a new data-collection framework that leverages a virtual format of hackathon events and enables a deeper insight into hackathon dynamics. The framework applicability is presented through a case study of the IDEA challenge hackathon, in which different intrusive and non-intrusive data collection approaches were used.

In recent years, we have observed an increased interest within the field of design research in both the concept of conviviality and playful approaches as a pathway to co-design and participation. While play is often associated with freedom of expression and creativity, the implication of rules and mechanics in games poses questions regarding the tension between player agency and designed gameplay. This paper aims to provide reflection on these topics through a lens of ‘critical play’ and presents a model to explore games’ potential as convivial tools for imagining collective futures.

This 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.

This paper examines upgradability through modular product design, aiming to extend lifecycles and promote cross-generational use. It builds up on a preceding work, a systematic literature- review identifying four fields of action in future-robust product design. The paper itself contains an in-depth interview study with 17 experts from industry and research to validate and expand the literature-based fields of action. The results provide insights into the application and employment of future-robust product design, with a focus on adaptable product architectures.

Empathy is argued to be a key factor for a successful design discussion. However, such causality cannot be empirically proven based on how empathy is currently defined in design community. Empathy is used as an umbrella construct, broad and encompassing of diverse phenomena, making it difficult to quantify. We suggest improving such a situation by introducing a definition of empathy based on psychology literature, which provides structure and guidance for studying the role of empathy in design. We first break empathy to components. Then, we review empathy as used in design. Finally, we synthetize the reviewed material. From this synthesis, we conclude that empathy in design shares several key components of empathy in psychology; particularly with state influences, top-down control process and emotional stimuli. These are present in design methods although they have not been studied using such terms. Incorporating psychological components of empathy into design can help conceptualising empathy from a different angle, thus opening interesting new avenues for future research. We hope that our treatment provides present and future designers with some useful guidance.

Intercultural interactions encourage social inclusion and diversity, but they are often avoided due to prejudices. Intercultural Meaningful Social Interactions (IMSI) can overcome such prejudices; still, the literature lacks guidelines on how to promote them by Design. In this study, we propose eight design strategies to facilitate these interactions, which were originated by bridging four theories for prejudice reduction and exemplar IMSI experiences of 15 intercultural participants. This paper presents the strategies and discusses their use to inspire new design concepts for promoting IMSI.

In the context of condition monitoring and predictive maintenance, collecting accurate data from technical systems is an important corner stone of the advancing digitalization. For gathering precise data of the current state of a system, measurements from within the process can be utilised. To measure in process without disrupting the system is a challenge that can be tackled by using the physical properties of the components of the system. In this paper a method to systematically find such possible sensory utilizable components (SuC), based on their inherent physical effects is presented.

Post study questionnaires are used in design studies to uncover data about design reasoning and intent. A study was conducted where activities the study participants performed were compared to the participants’ statements about those activities, collected immediately after the study via a questionnaire. The goal was to explore the reliability of post study evaluations. Disagreements between performed and reported activities were identified, and recommendations made to, where possible, include more objective measures of design activity.

This paper highlights a recently identified by the community perspective of design research, so far described as “inaccessible”, discusses the potential of “designerly” way of approaching it in order to let designers excavate tacit knowledge from their own finished projects. We frame demonstrators as a category of design outcomes that can be a great source of such knowledge. Skills of empathy and intuition are called crucial for researchers to position themselves inside the design system looking inwards.

Design process modelling is well-founded in fields of mechanical engineering, and product design and development but not in Building Design (BD). This paper looks at the selection process when choosing appropriate models for specific BD processes. The paper adapts process model selection criteria from Trauer's work and combines it with anecdotal evidence from the authors to select these models. The selection criteria were ranked, categorised, and applied to BD processes explained. Process models related to each selection criteria were then selected from backward snowballing of literature.