The delayed delivery, poor fitting and discomfort of customised orthoses are reported in rehabilitation clinics as resulting in more invasive interventions. The current practice of orthosis customisation relies heavily upon the experience and fabrication processes of therapists. In order to better understand the current practice, and thus identify data that is required for better comfort moving towards a data-driven customisation, this article describes a study generating working models of therapists. Customisations of hand and wrist orthoses for 18 patients were observed. Verbal protocol analysis was employed to extend the current understanding of fabrication processes. Working models of four therapists were established with quantitative evaluation on major phases, interactive activities and iterations of performing tasks during fabrication, revealing different working models between in- and out-patient departments (e.g. fabrication for in-patients was more complex and focussed on ergonomic fitting whereas fabrication for out-patients paid attention to durability) which were qualitatively explained. Practitioner summary: Fit and comfort are imperative for orthosis design and fabrication, however the current practice of customisation of an orthosis relies upon the experience of individual hand therapist. The article presents working models of hand therapists, and relevant data that would enable customisation of orthosis for better fit. Abbreviations: VPA: verbal protocol analysis; h&w: hand and wrist; LTT: low temperature thermoplastic; ANOVA: analysis of variance. 

Shared understanding is central to a design team's performance. While current literature describes general relationships between team interaction and the development of shared understanding, it is not known if or how dynamic patterns in team processes impact this. Using a comparative study, we describe dynamic process patterns that influence the relationship between collaborative design work and shared understanding development. We propose two major patterns that impact shared understanding development: taskwork-teamwork interdependency and inter-action heartbeat, and describe how what we term cross-level pattern alignment moderates their effect. We propose a conceptual model that integrates these insights and provides testable propositions. As such, this work has significant implications for both design researchers and practitioners. 

The user experience of a product is recognized as having an increasing importance in particular in consumer products. Current approaches to designing user experiences are not easily translated to languages that a computer can understand. This paper examines a particular aspect of user experience, namely perception of the aesthetics of a product, to formalize this to rules, which are embedded into a tool to generate design. Investigating the perception of consumers is key to designing for their aesthetic preferences. Previous research has shown that consumers and designers often perceive the same products differently. This paper aims to embed rules on perception into a tool to support designers during design synthesis. Aesthetic design rules connecting perceptions with aesthetic features were integrated into a set grammar and a parametric modeling tool, and applied to the particular case of vases. The generated tool targeted the creation of vases with the perception of beautiful, elegant, and exciting. Results show that it is possible to generate beautiful, elegant, and exciting vases following the three aesthetic design rules, i.e. tall, simple, and curvy. The main contribution of this paper is the method used to incorporate information on perception into the set grammar and the parametric model. The tool is additionally proposed for supporting designers during design synthesis of shapes. The results are valid for vases but the method can be applied to other perceptions and product categories. 

PurposeCompanies are increasingly engaged with global engineering networks through offshoring of product development activities from R&D to production. This creates many new challenges as operations get physically and culturally decoupled. The purpose of this paper is to improve understanding of how to effectively manage engineering offshoring activities in a context of global engineering networks. The main research question, therefore, is: “Can offshoring of engineering tasks be explained and managed using the concept of Global Engineering Networks (GEN)?” Effective approaches to handling the associated risks of engineering offshoring will be a key area of the investigation.Design/methodology/approachThe research approach is based on the engineering design research methodology developed by Blessing and Chakrabarti, including a descriptive phase and a prescriptive phase. Four case studies of large multinational corporations in Denmark were carried out. Data gathering was mainly documentary studies and interviews. The main data analysis approaches were coding (Strauss and Corbin) and pattern‐matching (Yin). The dataset was analysed using the GEN framework suggested by Zhang et al. and Zhang and Gregory.FindingsEngineering offshoring presents companies with challenges related to communication and knowledge sharing which is addressed through formal and informal mechanisms as well as a more streamlined operation. However, this did not remove the challenges. The GEN framework suggests a systematic approach to understanding global engineering networks through investigating their contextual features, critical capabilities to compete in a particular contextual circumstance, and configuration characteristics to deliver the capabilities. Using the GEN framework, the challenges faced by companies and the risks associated with their engineering offshoring activities can be explained as a mismatch between the required capabilities and the companies' ability to deliver these capabilities.Originality/valueThis paper provides new theoretical insight into both engineering offshoring and GEN theories by extending the GEN framework to address complications within engineering offshoring. This strengthens both academic fields, and will be able to help engineering managers to develop appropriate engineering network configurations for offshore engineering operations. 

AbstractDefining the aesthetic and emotional value of a product is an important consideration for its design. Furthermore, if several designers are faced with the task of creating an object that describes a certain emotion/perception (aggressive, soft, heavy, etc.), each is most likely to interpret the emotion/perception with different shapes composed of a set of different geometric features. The authors propose an automatic approach to formalize the relationships between geometric information of three-dimensional objects and the intended emotional content using fuzzy logic. In addition, the automatically generated fuzzy knowledge base was compared to the user's perceptions and to the manually constructed fuzzy knowledge base. The initial findings indicate that the approach is valid to formalize geometric information with perceptions and validate the author's manually developed fuzzy models.