Supporting engineering design communication using a custom-built social media tool – PartBook

Gopsill, James; McAlpine, Hamish; Hicks, Ben

doi:10.1016/j.aei.2015.04.008

Cited by 15 publications

(5 citation statements)

References 28 publications

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“…It is likely that any commercial fusion reactor will be delivered through a dispersed international collaborative design activity in some form of a 'social network', in which case it will be necessary to capture and archive the discussions and rationale underpinning design decisions. While some organizations have tailored social media tools to support their engineering activities [38,64], further work will be required to handle the multi-scale and multi-physics nature of a fusion power plant as well as the long timescales from its conception to decommissioning. In addition to the current design processes for ITER and DEMO being dispersed and international, the supply chain for a commercial fusion power plant is royalsocietypublishing.org/journal/rsos R. Soc.…”

Section: Discussionmentioning

confidence: 99%

An integrated digital framework for the design, build and operation of fusion power plants

et al. 2019

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The development of a commercial fusion power plant presents a unique set of challenges associated with the complexity of the systems, the integration of novel technologies, the likely diversity and distribution of the organizations involved, and the scale of resources required. These challenges are reviewed and compared to those for other complex engineering systems. A framework for creating a digital environment that integrates research, test, design and operational data is discussed and is based on combining the integrated nuclear digital environment (INDE), proposed recently for nuclear fission power plants, with the hierarchical pyramid of test and simulation used in the aerospace industry. The framework offers the opportunity to plan modelling strategies that allow large design domains to be explored prior to optimizing a detailed design for construction; and in this context, the relationship between measurements and predictions are explored. The use of the framework to guide the socio-technical activity associated with a distributed and collaborative design process is discussed together with its potential benefits and the technology gaps that need to be addressed in order to realize them. These benefits include shorter development times, reduced costs and improvements in credibility, operability, reliability and safety.

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Section: Discussionmentioning

confidence: 99%

An integrated digital framework for the design, build and operation of fusion power plants

et al. 2019

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“…Each recruited expert first followed a usability study through the SUS questionnaire ( Brooke, 1996 ) that aimed at understanding the fitness of the heuristic assessment for its use in the HRI domain. This technique is well known and applied in various fields: engineering design ( Gopsill et al, 2015 ), software engineering ( Ya-feng et al, 2022 ) or smart PSSs ( Chang et al, 2019 ). Besides, SUS is applicable in a small scale of survey whose questionnaire items can be easily understood by limited numbers of participants with various disciplines ( Martins et al, 2015 ).…”

Section: Methodsmentioning

confidence: 99%

Development of a new set of Heuristics for the evaluation of Human-Robot Interaction in industrial settings: Heuristics Robots Experience (HEUROBOX)

Apraiz,

Mulet Alberola,

Lasa

et al. 2023

Front. Robot. AI

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Humans and robots will increasingly have to work together in the new industrial context. Therefore, it is necessary to improve the User Experience, Technology Acceptance, and overall wellbeing to achieve a smoother and more satisfying interaction while obtaining the maximum performance possible out of it. For this reason, it is essential to analyze these interactions to enhance User Experience. The heuristic evaluation is an easy-to-use, low-cost method that can be applied at different stages of a design process in an iterative manner. Despite these advantages, there is rarely a list of heuristics in the current literature that evaluates Human-Robot interactions both from a User Experience, Technology Acceptance, and Human-Centered approach. Such an approach should integrate key aspects like safety, trust, and perceived safety, ergonomics and workload, inclusivity, and multimodality, as well as robot characteristics and functionalities. Therefore, a new set of heuristics, namely, the HEUROBOX tool, is presented in this work in the form of the HEUROBOX tool to help practitioners and researchers in the assessment of human-robot systems in industrial environments. The HEUROBOX tool clusters design guidelines and methodologies as a logic list of heuristics for human-robot interaction and comprises four categories: Safety, Ergonomics, Functionality, and Interfaces. They include 84 heuristics in the basic evaluation, while the advanced evaluation lists a total of 228 heuristics in order to adapt the tool to the evaluation of different industrial requirements. Finally, the set of new heuristics has been validated by experts using the System Usability Scale (SUS) questionnaire and the categories has been prioritized in order of their importance in the evaluation of Human-Robot Interaction through the Analytic Hierarchy Process (AHP).

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“…Formulations, such as a design ontology for design knowledge exchange and management (Štorga, et al, 2010), and requirements for supporting engineering design communication (Gopsill, et al, 2013) formalise how to capture events in the design process such that it can be re-used and analysed in the future. Methods such as retrospective compilation following interviews (Lauff, et al, 2018) or logbook investigation (McAlpine, et al, 2017) alongside tools such as work sampling, Design Rationale eDitor (DReD), PartBook, and Lessons Learned methodologies have all been developed to capture portions of the design process (Skec, et al, 2015;Bracewell, et al, 2008;Gopsill, et al, 2015).…”

Section: Related Workmentioning

confidence: 99%

Prototyping through the Lens of Network Analysis and Visualisation

et al. 2022

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Prototyping is a well-established and valued design process activity. However, capturing prototypes and the tacit knowledge that led to and was gained from their creation is a challenge. Beyond that, questions remain on how best to utilise that captured data. This paper looks at how one can exploit and generate insights from data that has been captured, specifically looking at graph databases, the network analysis techniques they permit and the differing fidelities of visualisation and interactivity that they enable.

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Supporting engineering design communication using a custom-built social media tool – PartBook

Cited by 15 publications

References 28 publications

An integrated digital framework for the design, build and operation of fusion power plants

An integrated digital framework for the design, build and operation of fusion power plants

Development of a new set of Heuristics for the evaluation of Human-Robot Interaction in industrial settings: Heuristics Robots Experience (HEUROBOX)

Prototyping through the Lens of Network Analysis and Visualisation

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