From the islands of knowledge to a shared understanding: interdisciplinarity and technology literacy for innovation in smart electronic product design

Blanco

2017

Sensors

Self Cite

Human motion capture (MoCap) is widely recognised for its usefulness and application in different fields, such as health, sports, and leisure; therefore, its inclusion in current wearables (MoCap-wearables) is increasing, and it may be very useful in a context of intelligent objects interconnected with each other and to the cloud in the Internet of Things (IoT). However, capturing human movement adequately requires addressing difficult-to-satisfy requirements, which means that the applications that are possible with this technology are held back by a series of accessibility barriers, some technological and some regarding usability. To overcome these barriers and generate products with greater wearability that are more efficient and accessible, factors are compiled through a review of publications and market research. The result of this analysis is a design methodology called Octopus, which ranks these factors and schematises them. Octopus provides a tool that can help define design requirements for multidisciplinary teams, generating a common framework and offering a new method of communication between them.

Section: Methodsmentioning

confidence: 99%

Octopus: A Design Methodology for Motion Capture Wearables

Blanco

2017

Sensors

Self Cite

“…New technology literacy results in additional benefits, where a shared understanding between engineering and design/marketing leads to better design teams performance. This literacy is reflected in the quality of the developed projects, enhances the innovation and technological quality of the products and considerably reduces error rates and technological unfeasibility issues (Blanco et al 2017).…”

Section: System Lifecycle Managementmentioning

confidence: 99%

“…Modelling smart products requires interdisciplinary and transdisciplinary collaboration among several intermediary stakeholders in addition to producers and customers, including empowered ones (Blanco et al 2017;Wellsandt and Thoben 2016), such as (1) managers responsible for introducing smart products to the market to consider the market perspective, (2) experts from the underlying technical fields to learn about the specifics of the alternative systems and to understand their potential pros and cons, (3) sociologists and psychologists to help overcome mental or other barriers during the adoption process, (4) lawyers (in some cases) to address any legal concerns, since smart products often raise data protection issues and/or liability issues, (5) representatives from each group of prospective users of these products, (6) policy makers and their specific interests (e.g., concerning the limitation of energy and/or resource consumption, which may be actuated by subsidies and/or enforced by regulations) (Dawid et al 2017). Rymaszewska et al (2017) demonstrate three cases of business-to-business (B2B) IoT powered servitisation, in which the implementation of strategic issues relates to several different areas and different stakeholders outside the technical field.…”

Section: Increased Stakeholder Quantity and Complexitymentioning

confidence: 99%

Smart design engineering: a literature review of the impact of the 4th industrial revolution on product design and development

Pessôa

Becker

2020

Res Eng Design

Industrial revolutions (IRs) are mostly associated with how transformations regarding the operations of an enterprise affect said enterprise's manufacturing systems. However, the impact of these transformations exceeds the production systems themselves; rather, they affect the entire value chain, from the product design and development process (PDDP) through manufacturing and supply-chain management to marketing and disposal. As the new PDDP to a large extent defines the value chain for a company, the challenge lies in ensuring that the designed product will help the company fully benefit from the IRs. By analysing the 4th IR, the authors reveal that few publications shed light on this aspect. Consequently, the purpose of this study is to establish features and properties that will shape the PDDP throughout the 4th IR and into a smart design engineering. To accomplish this, the authors conduct a systematic review of the literature, which provides ten findings. These findings are then analysed by 11 specialists both from academia and the industry, and the findings' relations to the 4th IR and their impact on the product development process is discussed. By establishing these findings, this paper provides a platform for the understanding of what could potentially shape smart design engineering and its design-related activities.

Proc. Int. Conf. Eng. Des.

“…In the area of Design, several programmes offer technological training to students of design-related careers. However, as shown in Table 4 in (Blanco et al, 2017), these courses do not cover the essential aspects of electronics, programming, and networks in a single course. Usually, they either focus on electronics (as the Basics Electronics for Product Design from Leeds University, UK or Basic Electronics and Engineering for Designers from the Royal College of Arts, UK), programming/informatics (as the course Informatics from University of Zaragoza, Spain) or networks and communications (as the course Digital and Connected World for the Master in Design and Communications from the Politecnico di Torino, Italy) separately.…”

Section: Iced19mentioning

confidence: 99%

Data Materialisation: A New Undergraduate Course for a Data Driven Society

Beghelli¹,

Huerta-Cánepa²,

Segal³

2019

Traditionally, data has been presented in textual format and the interaction with the user confined to the keyboard or touch screen to input data and the screen to deliver information. However, with the advent of a data-driven society, an opportunity for more natural and efficient ways of presenting data and interacting with it has emerged. Although the area of Human-Computer Interaction has existed for a long time, its focus has always been on the interaction with an artefact (the computer). Today instead, we face the challenge of interacting with an intangible object: data. As a result, a key requirement emerges: How do we make legible the enormous amounts of data produced per day to ordinary people? Designers, able to devise natural and smooth interaction experiences, should play a relevant role in this new scenario. However, they might lack the basic technical knowledge required to understand the possibilities of these new systems. In this paper we present a brief how-to manual for an undergraduate course on data materialisation: the process of transforming an intangible object (data) in an artefact that can be interacted with in a physical way.