scholarly journals Usability Evaluation of Software Tools for Engineering Design

Author(s):  
Helena Hashemi Farzaneh ◽  
Lorenz Neuner

AbstractMuch of the work in design research focusses on the development of methods and tools to support engineering designers. Many of these tools are nowadays implemented in software. Due to the strongly growing use of computers and smart devices in the last two decades, the expectations of users increased dramatically. In particular users expect good usability, for example little effort for learning to apply the software. Therefore, the usability evaluation of design software tools is crucial. A software tool with bad usability will not be used in industrial practice. Recommendations for usability evaluation of software often stem from the field of Human Computer Interaction. The aim of this paper is to tailor these general approaches to the specific needs of engineering design. In addition, we propose a method to analyse the results of the evaluation and to derive suggestions for improving the design software tool. We apply the usability evaluation method on a use case - the KoMBi software tool for bio-inspired design. The case study provides additional insights with regards to problem, causes and improvement categories.

Author(s):  
Tayana Conte ◽  
Verônica T. Vaz ◽  
Jobson Massolar ◽  
Andrew Bott ◽  
Emilia Mendes ◽  
...  

This chapter presents the WDP (Web Design Perspectives-based Usability Evaluation), an inspection technique specifically designed to assess the usability of Web applications. This technique combines Web design perspectives and the heuristic evaluation method proposed by Nielsen (1994b). In addition to describing the components of the WDP technique this chapter also illustrates its use in practice by means of an industrial case study where the technique is applied to inspect a real Web application. In this case study, developers and requirement assessment staff applied the WDP technique to evaluate the usability of modules developed from scratch for a Web application. The results of this case study indicate the feasibility of performing usability inspections with the participation of a software project’s stakeholders, even when stakeholders are not usability experts.


Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 541 ◽  
Author(s):  
Sourav Khanna ◽  
Victor Becerra ◽  
Adib Allahham ◽  
Damian Giaouris ◽  
Jamie M. Foster ◽  
...  

Residential variable energy price schemes can be made more effective with the use of a demand response (DR) strategy along with smart appliances. Using DR, the electricity bill of participating customers/households can be minimised, while pursuing other aims such as demand-shifting and maximising consumption of locally generated renewable-electricity. In this article, a two-stage optimization method is used to implement a price-based implicit DR scheme. The model considers a range of novel smart devices/technologies/schemes, connected to smart-meters and a local DR-Controller. A case study with various decarbonisation scenarios is used to analyse the effects of deploying the proposed DR-scheme in households located in the west area of the Isle of Wight (Southern United Kingdom). There are approximately 15,000 households, of which 3000 are not connected to the gas-network. Using a distribution network model along with a load flow software-tool, the secondary voltages and apparent-power through transformers at the relevant substations are computed. The results show that in summer, participating households could export up to 6.4 MW of power, which is 10% of installed large-scale photovoltaics (PV) capacity on the island. Average carbon dioxide equivalent (CO2e) reductions of 7.1 ktons/annum and a reduction in combined energy/transport fuel-bills of 60%/annum could be achieved by participating households.


2002 ◽  
Vol 19 (2) ◽  
pp. 131-140 ◽  
Author(s):  
Graham Green ◽  
Paul Kennedy ◽  
Alistair McGown

Author(s):  
Faisal Mokammel ◽  
Eric Coatanea ◽  
Francois Christophe ◽  
Mohamed Ba Khouya ◽  
Galina Medyna

In engineering design, the needs of stakeholders are often captured and expressed in natural language (NL). While this facilitates such tasks as sharing information with non-specialists, there are several associated problems including ambiguity, incompleteness, understandability, and testability. Traditionally, these issues were managed through tedious procedures such as reading requirements documents and looking for errors, but new approaches are being developed to assist designers in collecting, analysing, and clarifying requirements. The quality of the end-product is strongly related to the clarity of requirements and, thus, requirements should be managed carefully. This paper proposes to combine diverse requirements quality measures found from literature. These metrics are coherently integrated in a single software tool. This paper also proposes a new metric for clustering requirements based on their similarity to increase the quality of requirement model. The proposed methodology is tested on a case study and results show that this tool provides designers with insight on the quality of individual requirements as well as with a holistic assessment of the entire set of requirements.


Author(s):  
Adrian Stoica ◽  
Georgios Fiotakis ◽  
Dimitrios Raptis ◽  
Ioanna Papadimitriou ◽  
Vassilis Komis ◽  
...  

This chapter presents a usability evaluation method for context aware mobile applications deployed in semi-public spaces that involve collaboration among groups of users. After reviewing the prominent techniques for collecting data and evaluating mobile applications, a methodology that includes a set of combined techniques for data collection and analysis, suitable for this kind of applications is proposed. To demonstrate its applicability, a case study is described where this methodology has been used. It is argued that the method presented here can be of great help both for researchers that study issues of mobile interaction as well as for practitioners and developers of mobile technology and applications.


2012 ◽  
Vol 48 ◽  
Author(s):  
Funmi Adebesin ◽  
Paula Kotze

The Digital Doorway (DD) is a joint initiative between the South African Department of Science and Technology (DST) and the Meraka Institute of the Council for Scientific and Industrial Research (CSIR). The DD is a non-standard computer system deployed amongst underprivileged communities in South Africa with the objective to promote computer literacy. Since its inception, there has been no usability or accessibility evaluation of the software installed on the DD, mainly due to lack of usability engineering or interaction design expertise within the development team. The goal of the research presented in this paper was to design a solution to this problem by developing a suitable instrument that could guide DD application developers in the design and development of more usable DD software and interfaces. Design research was used as a research methodology. We first investigated the applicability of the standard usability and accessibility evaluation methods for evaluating the software installed on the DD. During the first cycle of design research, we established that a heuristic-like evaluation method would be an appropriate method for evaluating the usability and direct accessibility support provided by the DD. During a second cycle of design research, embedded in the first, we also developed a set of multi-category heuristics as the ‘instrument’ that could guide the developers during design of applications as well as in the first-level (formative) evaluation thereof. To verify the heuristics, we conducted a usability evaluation of the DD and triangulated the results with a direct field observation at a natural environment of DD use, together with user-administered questionnaires.


Author(s):  
Lasse Skovgaard Jensen ◽  
Ali Gürcan Özkil ◽  
Krestine Mougaard

The recent years have witnessed a new generation of Makers working with new ways of knowledge generation for creation and sharing of digital and physical products. While this development has started within collaborative and grass roots organised networks; educational institutions have also embraced it by opening makerspaces and adopting elements of the Maker Movement in their offerings. This paper investigates how university driven makerspaces can affect engineering design and product development education trough a case study. We provide our findings based on interviews and data collected from educators, students the administrative and workshop staff of the makerspace. The findings are used to outline the challenges in incorporating the offerings of makerspaces. By discussing these challenges we identify opportunities for turning university makerspaces into innovation hubs and platforms that can support engineering design education.


2020 ◽  
Vol 18 (1) ◽  
pp. 1
Author(s):  
Joshua D. Summers ◽  
Apurva Patel ◽  
Maria Vittoria Elena

2021 ◽  
pp. 1-45
Author(s):  
Ji Han ◽  
Serhad Sarica ◽  
Feng Shi ◽  
Jianxi Luo

Abstract In the past two decades, there has been increasing use of semantic networks in engineering design for supporting various activities, such as knowledge extraction, prior art search, idea generation and evaluation. Leveraging large-scale pre-trained graph knowledge databases to support engineering design-related natural language processing (NLP) tasks has attracted a growing interest in the engineering design research community. Therefore, this paper aims to provide a survey of the state-of-the-art semantic networks for engineering design and propositions of future research to build and utilize large-scale semantic networks as knowledge bases to support engineering design research and practice. The survey shows that WordNet, ConceptNet and other semantic networks, which contain common-sense knowledge or are trained on non-engineering data sources, are primarily used by engineering design researchers to develop methods and tools. Meanwhile, there are emerging efforts in constructing engineering and technical-contextualized semantic network databases, such as B-Link and TechNet, through retrieving data from technical data sources and employing unsupervised machine learning approaches. On this basis, we recommend six strategic future research directions to advance the development and uses of large-scale semantic networks for artificial intelligence applications in engineering design.


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