Iterative Design Phase Research Articles

Rapid Prototyping Technology: A Driving Force in Product Design Innovation

Abstract: This paper explores the transformative impact of rapid prototyping on product design processes across various industries. Rapid prototyping, characterized by its ability to quickly create physical models from digital designs, significantly enhances the iterative design phase, facilitating early testing and validation of concepts. RP includes the integration of technologies such as 3D printing, computer-aided design (CAD), and additive manufacturing in accelerating product iterations, reducing time-to-market, and fostering innovation. Rapid prototyping (RP) has emerged as a transformative approach in product development, significantly enhancing design processes across various industries. Sectors including automotive, consumer electronics and healthcare show how rapid prototyping streamlines communication among stakeholders, enhances user feedback incorporation, and reduces production costs

Biocultural Conservation-based Narrative Text: An Effort to Enhance Conservation Literacy of the Local Community in the Sanctuary Area

This study is part of the Faculty of Languages and Arts’ second-year research project in partnership with International Animal Rescue (IAR). The major goal was to raise conservation awareness among the local people dwelling in the sanctuary region of Pematang Gadung Village, Ketapang Regency, West Borneo, to tackle environmental challenges such as illegal logging, poaching, and illegal mining. The research and development process were divided into three stages based on the Successive Approximation Model (SAM): preparation, iterative design, and iterative development. This work focuses primarily on the iterative design phase, expanding on the findings of the research completed in the first year when the local people perceived forest as commodities due to their lack of conservation literacy. Their biocultural conservation, on the other hand, was profoundly based on their indigenous, Muslim Malay ethnic beliefs and traditions. This study aims to construct a biocultural conservation-based narrative text as a first step toward generating conservation material that resonates with the community’s local wisdom using a biocultural approach.
 Keywords: conservation literacy, biocultural conservation approach, SAM, REB, local community of Pematang Gadung Village

User-Centered Design and Usability of a Culturally Adapted Virtual Survivorship Care App for Chinese Canadian Prostate Cancer Survivors: Qualitative Descriptive Study.

Cultural adaptations of digital health innovations are a growing field. However, digital health innovations can increase health inequities. While completing exploratory work for the cultural adaptation of the Ned Clinic virtual survivorship app, we identified structural considerations that provided a space to design digitally connected and collective care. This study used a community-based participatory research and user-centered design process to develop a cultural adaptation of the Ned Clinic app while designing to intervene in structural inequities. The design process included primary data collection and qualitative analysis to explore and distill design principles, an iterative design phase with a multidisciplinary team, and a final evaluation phase with participants throughout the design process as a form of member checking and validation. Participants indicated that they found the final adapted prototype to be acceptable, appropriate, and feasible for their use. The changes made to adapt the prototype were not specifically culturally Chinese. Instead, we identified ways to strengthen connections between the survivor and their providers; improve accessibility to resources; and honor participants' desires for relationality, accountability, and care. We grounded the use of user-centered design to develop a prototype design that supports the acts of caring through digital technology by identifying and designing to resist structures that create health inequities in the lives of this community of survivors. By designing for collective justice, we can provide accessible, feasible, and relational care with digital health through the application of Indigenous and Black feminist ways of being and knowing.

Designing English Listening Materials for the 12th Grade Students of Paket C

This research was carried out to design English listening materials for the 12th-grade students of Paket C. What are the English listening material learning needs of Paket C students in the 12th grade? It was one of the two research questions that guided the study. How were the English listening materials for Paket C students in the 12th grade designed? Built on design This investigation was carried out using research. To gather data regarding the students' listening demands in EFL teaching, semi-structured interviews and open-ended questionnaires were used. Validations by media and material experts were also carried out. According to the results of the data analysis, Paket C pupils need English listening resources first. Second, the audio media was created using a bottom-up methodology while going through iterative design phases, including problem-solving analysis, media development, testing, and reflection. The tutor's book, the students' book, and the MP3 listening materials were the three products of the design procedures. In conclusion, the 12th-grade students of Paket C need English listening materials related to their activity/background/profession, future/material usefulness, educational background, surrounding environment, and life skill. All of the students need to aim to design English listening materials for the 12th-grade students of Paket C.

Healthier and Environmentally Responsible Sustainable Cities and Communities. A New Design Framework and Planning Approach for Urban Illumination

Although sustainability and sustainable development are both considered necessary practices in various fields today, a recent analysis showed that the Sustainable Development Goal SDG11: Sustainable Cities and Communities established by the United Nations does not address urban illumination and its impact. This oversight is of concern because research carried out in the last 20+ years indicates artificial light at night (ALAN) in cities, and the light pollution this generates can have negative consequences on human health and well-being and the entire environment, including ecosystems and the flora and fauna that inhabit them. By applying a literature review, analysis and synthesis method, this work offers a new perspective on lighting and a timeline of key events that established ALAN and light pollution awareness in different disciplines and professional groups connected to urban illumination. It also identifies three fundamental aspects which require further transdisciplinary research and the translation of this knowledge into practice in order to enable the development of sustainable cities and communities at night. Finally, it presents in detail a new, theoretical environment-centred design framework for responsible urban illumination, with four iterative design phases, in order to help guide various stakeholders in cities, along with a four-level pyramid model that can be applied to urban illumination in the form of principles, processes, practices, and tools. This framework is especially relevant for those urban planners, architects, and landscape designers, who are unfamiliar with the subject in order to present the most effective and appropriate lighting design approach and methods that should be taken into consideration with the design of a given urban nighttime environment/situation.

A Clinical Decision Support System for Sleep Staging Tasks With Explanations From Artificial Intelligence: User-Centered Design and Evaluation Study.

BackgroundDespite the unprecedented performance of deep learning algorithms in clinical domains, full reviews of algorithmic predictions by human experts remain mandatory. Under these circumstances, artificial intelligence (AI) models are primarily designed as clinical decision support systems (CDSSs). However, from the perspective of clinical practitioners, the lack of clinical interpretability and user-centered interfaces hinders the adoption of these AI systems in practice.ObjectiveThis study aims to develop an AI-based CDSS for assisting polysomnographic technicians in reviewing AI-predicted sleep staging results. This study proposed and evaluated a CDSS that provides clinically sound explanations for AI predictions in a user-centered manner.MethodsOur study is based on a user-centered design framework for developing explanations in a CDSS that identifies why explanations are needed, what information should be contained in explanations, and how explanations can be provided in the CDSS. We conducted user interviews, user observation sessions, and an iterative design process to identify three key aspects for designing explanations in the CDSS. After constructing the CDSS, the tool was evaluated to investigate how the CDSS explanations helped technicians. We measured the accuracy of sleep staging and interrater reliability with macro-F1 and Cohen κ scores to assess quantitative improvements after our tool was adopted. We assessed qualitative improvements through participant interviews that established how participants perceived and used the tool.ResultsThe user study revealed that technicians desire explanations that are relevant to key electroencephalogram (EEG) patterns for sleep staging when assessing the correctness of AI predictions. Here, technicians wanted explanations that could be used to evaluate whether the AI models properly locate and use these patterns during prediction. On the basis of this, information that is closely related to sleep EEG patterns was formulated for the AI models. In the iterative design phase, we developed a different visualization strategy for each pattern based on how technicians interpreted the EEG recordings with these patterns during their workflows. Our evaluation study on 9 polysomnographic technicians quantitatively and qualitatively investigated the helpfulness of the tool. For technicians with <5 years of work experience, their quantitative sleep staging performance improved significantly from 56.75 to 60.59 with a P value of .05. Qualitatively, participants reported that the information provided effectively supported them, and they could develop notable adoption strategies for the tool.ConclusionsOur findings indicate that formulating clinical explanations for automated predictions using the information in the AI with a user-centered design process is an effective strategy for developing a CDSS for sleep staging.

An industrial exoskeleton user acceptance framework based on a literature review of empirical studies

Studying the acceptance of exoskeletons in industry has gained increased attention. Exoskeletons (wearable support devices) are envisioned to alleviate heavy work. Examining what factors influence the use of exoskeletons is important, because influencing these factors could positively contribute to the adoption of industrial exoskeletons. The factors identified in this paper have been systematically derived from empirical research with (potential future) end users, most of whom have tried on an exoskeleton. Our framework with factors influencing the acceptance of industrial exoskeletons can be used during the (ideally iterative) design, (re)development and evaluation phase of new or existing exoskeletons. This could improve the quality of exoskeletons since this allows designers to already consider acceptance factors early in the design process instead of finding out what is important late in the design process during (field) testing. In turn, this might accelerate the adoption of exoskeletons. Also, our framework can be used to study the ongoing introduction of exoskeletons at work since it also addresses policy decisions companies interested in implementing exoskeletons should consider.

Towards “Design for Interoperability” in the context of Systems Engineering

In product development, early decisions made within the requirements specification and design phase have significant impact on overall functionality, quality and lifecycle cost of the product. In Systems Engineering, these oftentimes iterative design phases are steered by underlying development models, providing processes, guidelines and best practices. One family of guidelines are the “Design for X” (DfX) tools or principles. In the development of mechatronic systems e.g. production systems, traditionally the mechanical, electric and software domain are to be distinguished. Over time, driven by trends of digitalization, communication and interconnection of systems, the product innovation and thus the required development effort has been shifting from the mechanical domain towards the software domain. The question of system interoperability thereby is of a fundamental nature. This is especially relevant within the current paradigms of Industry 4.0 and the Digital Twin.To reflect the growing importance of interoperability (i.e. the ability of systems to purposefully interchange interpretable information) as a requirement for the product within the design phase of technical systems, this paper introduces “Design for Interoperability” (DfIOp) as a new DfX principle. First, this is motivated by the ever-growing importance of information technology for current and future products. Then, the main contribution of the paper is the combination of the state of the art in the research domains of DfX, interoperability, Systems Engineering and Industry 4.0. Consequently, DfIOp will be presented, including a systematization model as well as a first method for its implementation. Further contemplation on DfIOp shows, that it enables derivative principles such as “Design for Data Analytics” and “Design for Digital Twin”. In future research, the underlying models as well as methods of DfIOp are to be further detailed and integrated into the research context.

A User-Centered Design Approach to Developing a Voice Monitoring System for Disorder Prevention

Many individuals will experience a voice disorder in their lifetime, especially occupational voice users. While a number of voice monitoring systems have been developed, most were designed with the clinician/researcher as the end user. For a patient to use these systems, they need field experts to help them interpret data from the system to understand its meaning. Most of these systems would have challenges in being used in a preventative context with the occupational voice user as the sole system user. The current study introduces a novel design approach: user-centered design (UCD) with paper prototypes in the creation of a voice monitoring system for voice disorder prevention (VDP). The goal of this design approach is to design systems that are engaging and intuitive for users so they will be interested in interacting with the system and be able to benefit from the system without the need of external support. The current study was conducted in two phases: an iterative design phase and a test phase. In the iterative design phase, 15 participants gave their opinions on the measures and feedback designs they felt would be the most beneficial to users. In the test phase, the researchers collected real voice data over multiple sessions for 18 additional participants and provided this data using the final feedback displays from the design phase. By engaging in UCD, the researchers identified key design challenges for VDP: (1) educating the user, (2) balancing contextualization and granularity, and (3) addressing disconnection between user and system goals. UCD holds promise for designing VDP systems that are both engaging and intuitive for occupational voice users.

A multilevel finite element-multibody approach to design the suspension system for the road transportation of SSR1 cryomodule

Cryomodules (CM) represents edge-frontier assemblies in particle physics research field. The road transportation of CM is a critical phase during which the structures can be subjected to significant dynamic loads. It is therefore necessary to design a Transportation Tool (TT) equipped with an appropriate suspension system. This work describes the approach adopted for the design of the TT for the CM PIP-II SSR1 (Proton Improvement Plan-II – Single Spoke Resonators 1), which is firstly introduced in the CM research field. Initially a Finite Element (FE) model was developed, considering the main sub-assemblies of the CM. However, this model was not suitable for the design of the TT due to the high computational burden. For this reason the model was exported as a Modal Neutral File and imported into a MultiBody software (MB) where the remaining components were modeled as concentrated stiffnesses or rigid bodies. The MB model thus obtained has drastically reduced the calculation time, proving to be fundamental in the TT iterative design phase, which involves the use of Helical Isolators (HI) performing the function of mechanical filters. To validate the effectiveness of TT in reducing dynamic loads, a 3D acceleration profile measured during the transport of a similar cryomodule (Linear Coherent Light Source II, LCLS-II) was used. Furthermore, the results of the MB model were used to perform the structural verification of some critical components of the CM.

Home blood pressure data visualization for the management of hypertension: designing for patient and physician information needs

BackgroundNearly half of US adults with diagnosed hypertension have uncontrolled blood pressure. Clinical inertia may contribute, including patient-physician uncertainty about how variability in blood pressures impacts overall control. Better information display may support clinician-patient hypertension decision making through reduced cognitive load and improved situational awareness.MethodsA multidisciplinary team employed iterative user-centered design to create a blood pressure visualization EHR prototype that included patient-generated blood pressure data. An attitude and behavior survey and 10 focus groups with patients (N = 16) and physicians (N = 24) guided iterative design and confirmation phases. Thematic analysis of qualitative data yielded insights into patient and physician needs for hypertension management.ResultsMost patients indicated measuring home blood pressure, only half share data with physicians. When receiving home blood pressure data, 88% of physicians indicated entering gestalt averages as text into clinical notes. Qualitative findings suggest that including a data visualization that included home blood pressures brought this valued data into physician workflow and decision-making processes. Data visualization helps both patients and physicians to have a fuller understanding of the blood pressure ‘story’ and ultimately promotes the activated engaged patient and prepared proactive physician central to the Chronic Care Model. Both patients and physicians expressed concerns about workflow for entering and using home blood pressure data for clinical care.ConclusionsOur user-centered design process with physicians and patients produced a well-received blood pressure visualization prototype that includes home blood pressures and addresses patient-physician information needs. Next steps include evaluating a recent EHR visualization implementation, designing annotation functions aligned with users’ needs, and addressing additional stakeholders’ needs (nurses, care managers, caregivers). This significant innovation has potential to improve quality of care for hypertension through better patient-physician understanding of control and goals. It also has the potential to enable remote monitoring of patient blood pressure, a newly reimbursed activity, and is a strong addition to telehealth efforts.

CARD GAME TO IMPROVE CRITICAL THINKING

Fostering critical thinking skills is a ubiquitous goal across disciplines and social contexts. Productive solutions to educational, content-based and social problems can emerge through well-reasoned conversation. How best to support the development of these skills has been a topic of debate. In this study, we investigated the design and effectiveness of a card-based game focused on undergraduate student understanding of common fallacies in thinking. 13 Fallacies was designed with the intention of improving students’ reasoning. In our study, we completed an iterative design phase, play testing phase and have collected data on student learning outcomes from two semesters as a result of classroom implementation. Results indicate that 13 Fallacies improved student understanding of common fallacies in thinking and promoted social reasoning for at-risk undergraduate students.

Design and evaluation of a digital wearable ring and a smartphone application to help monitor and manage the effects of Raynaud’s phenomenon

This paper presents the iterative research, design and evaluation phases of a digital wearable health system for monitoring, managing and possibly assisting in preventing the effects of a chronic disease called Raynaud’s Phenomenon (RP). The wearable health system is composed of three main parts, a physical product of a smart ring, the digital infrastructure of the physical computing subsystem (hardware and software) and an accompanying smartphone application. A set of design requirements that best describe the functionality and the characteristics of wearable health systems have been selected to derive a thorough study and evaluate the design prototype. We present these along with a set of guidelines for designing wearable health systems (device products and software at the application level) with focus on usability and user experience. The purpose is to evaluate, the prototype which is based on multiple sensor inputs that acquire simultaneously several biomedical and environmental signals, the interaction techniques used and the feedback mechanisms of the smart ring and the accompanying smartphone application for logging and monitoring the progress of RP.

User centred design and validation during the development of domestic brain computer interface applications for people with acquired brain injury and therapists: a multi-stakeholder approach

Purpose – The purpose of this paper is to outline the application of user centred design (UCD) within a research project to support the design, development and evaluation of a brain computer interface (BCI) with associated home-based services and remote therapy station for people with acquired brain injury (ABI). Design/methodology/approach – A multi- stakeholder UCD approach was adopted to include people living with ABI, their caregivers and therapists providing rehabilitation. A three-phased iterative approach was implemented: Phase 1 was to gather user requirements, Phase 2 an iterative design phase with end user (EU) groups and therapists and finally the verification and implementation phase. The final phase had two strands of a home-based BCI evaluation with target EUs and their caregivers, alongside this, therapists evaluated the final therapist station that supports the use of the BCI at home. Ethical governance, inline with Ulster University, was awarded. Findings – UCD enabled the co-creation and validation of a home-based BCI system for social inclusion and rehabilitation. Originality/value – This was the first BCI project to adopt UCD to design and validation a novel home-based BCI system and migrate this from the lab to home. It highlights the importance of UCD to bridge the gap between the technical developers and those whom the technology is aimed at. This complex design process is essential to increase usability and reduce device abandonment.

Becoming digital: Using personal digital histories to engage teachers in contemporary understandings of teaching social studies

Given that social studies pedagogy often runs in direct opposition to how students best learn, social studies teacher preparation must intervene by providing teachers robust experiences for inquiry, interpretation, creation, and personal meaning making. Digital history represents an area of innovation in social studies that can be a useful context for providing such interventions. This research applies a design-based methodology to develop a teacher education activity that reflects research on digital history and how students learn best by constructing and extending prior knowledge, processing information into knowledge, and scaffolding. Design-based research has proven to be suitable as an intervention for classroom settings in that it can be rapidly refined in response to ongoing research on an intervention. The research asked what methods and tools can teacher educators use to promote digital history in their classrooms. Through the project, 200 teacher education students, over four iterative design phases, learned to process historical information into knowledge using technology to communicate refined versions of their knowledge to outside audiences. Seven design factors and six commonalities and differences were identified as influencing the design process. The results of this design-based research informed the development of generalizations and guidelines for designing similar digital history projects.

Presenting multiple drug alerts in an ambulatory electronic prescribing system: a usability study of novel prototypes.

This study explores alternative approaches to the display of drug alerts, and examines whether and how human-factors based interface design can be used to improve the prescriber's perception about drug alert presentation, signal detection from noisy alert data, and their comprehension of clinical decision support during electronic prescribing. We reviewed issues with presenting multiple drug alerts in electronic prescribing systems. User-centered design, consisting of iterative usability and prototype testing was applied. After an iterative design phase, we proposed several novel drug alert presentation interfaces; expert evaluation and formal usability testing were applied to access physician prescribers' perceptions of the tools. We mapped drug alert attributes to different interface constructs. We examined four different interfaces for presenting multiple drug alerts. A TreeDashboard View was better perceived than a text-based ScrollText View with respect to the ability to detect critical information, the ability to accomplish tasks, and the perceptional efficacy of finding information. A robust model for studying multiple drug-alert presentations was developed. Several drug alert presentation interfaces were proposed. The TreeDashboard View was better perceived than the text-based ScrollText View in delivering multiple drug alerts during a simulation of electronic prescribing.

Video annotation in the TKB project: Linguistics meets choreography meets technology

ABSTRACTThis article describes the TKB project (A Transmedia Knowledge-Base for the performing arts), an international research project running in Portugal since 2009 at the New University of Lisbon. While focusing on the development of a digital notebook for video annotation in real-time, designated as Creation-Tool,1 the authors will jointly explain the collaboration process between choreographers, linguists and software programmers during the iterative design and test phases of the annotation tool. By trying to converge methodologies from Cognitive Linguistics, New Media and performance studies, thus attempting to achieve a rich interdisciplinary dialogue, we show how video annotation practices, using both verbal language, and touch-pen drawings or customizable marks over the videos, can significantly contribute to analytical processes of performing arts creations and to their documentation and transmission. Moreover, the article discusses the use of the Creation-Tool in the context of choreography in interactive environments, focusing on the potential for annotation of complex rehearsals and performances, which consist of such diverse strands as the performative action, the programming, the multimedia events, the respective lighting and scenic set-up.

Exergy analysis of an ejector-absorption heat transformer using artificial neural network approach

This paper proposes artificial neural networks (ANNs) technique as a new approach to determine the exergy losses of an ejector-absorption heat transformer (EAHT). Thermodynamic analysis of the EAHT is too complex due to complex differential equations and complex simulations programs. ANN technique facilitates these complicated situations. This study is considered to be helpful in predicting the exergetic performance of components of an EAHT prior to its setting up in a thermal system where the working temperatures are known. The best approach was investigated using different algorithms with developed software. The best statistical coefficient of multiple determinations ( R 2-value) for training data equals to 0.999715, 0.995627, 0.999497, and 0.997648 obtained by different algorithms with seven neurons for the non-dimensional exergy losses of evaporator, generator, absorber and condenser, respectively. Similarly these values for testing data are 0.999774, 0.994039, 0.999613 and 0.99938, respectively. The results show that this approach has the advantages of computational speed, low cost for feasibility, rapid turnaround, which is especially important during iterative design phases, and easy of design by operators with little technical experience.

Reformulation, as a Function of Only Working Temperatures, of Performance Parameters of a Solar Driven Ejector-Absorption Cycle Using Artificial Neural Networks

Theoretical thermodynamic analysis of the absorption thermal systems is too complex because of analytic functions calculating the thermodynamic properties of fluid couples involving the solution of complex differential equations and simulations programs. This article proposes a new approach to performance analysis of solar driven ejector-absorption refrigeration system (EARS) operated aqua/ammonia. Use of artificial neural networks (ANNs) has been proposed to re-determine the performance parameters, as a function of only working temperatures, at different working conditions. Thus, this study is considered to be helpful in predicting the performance of an EARS prior to its setting up in an environment where the temperatures are known. The statistical coefficient of multiple determinations (R 2 -value) equals to 0.976, 0.9825, 0.9855 for the coefficient of performance (COP), exergetic coefficient of performance (ECOP) and circulation ratio (F), respectively. These accuracy degrees are acceptable in design of EARS. The present method greatly reduces the time required by design engineers to find optimum solution, and in many cases, reaches a solution that could not be easily obtained from simple modeling programs. The importance of the ANN approach, apart from reducing the whole time required, is that it is possible to find solutions that make solar energy applications more viable, and thus more attractive to potential users such as the solar engineer. Also, this approach has the advantages of computational speed, low cost for feasibility, and rapid turnaround, which is especially important during iterative design phases, and ease of design by operators with little technical experience.

Performance parameters of an ejector-absorption heat transformer

Ejector-absorption heat transformers (EAHTs) are attractive for increasing a solar-pond's temperature and for recovering low-level waste-heat. Thermodynamic analysis of the performance of an EAHT is complicated due to the associated complex differential equations and simulation programs. This paper proposes the use of artificial neural-networks (ANNs) as a new approach to determine the performance parameters, as functions of only the working temperatures of the EAHT, which is used to increase the solar pond's temperature under various working conditions. Thus, this study is helpful in predicting the performance of an EAHT where the temperatures are known. Scaled conjugate gradient (SCG) and Levenberg–Marquardt (LM) learning algorithms and a logistic sigmoid transfer-function were used in the network. The best approach was investigated for performance parameters with developed software using various algorithms. The best statistical coefficients of multiple determinations ( R 2-values) equal 0.99995, 0.99997 and 0.99995 for the coefficient of performance (COP), exergetic coefficient of performance (ECOP) and circulation ratio ( F), respectively obtained by the LM algorithm with seven neurons. In the comparison of performances, results obtained via analytic equations and by means of the ANN, the COP, ECOP and F for all working situations differ by less than 1.05%, 0.7% and 3.07%, respectively. These accuracies are acceptable in the design of the EAHT. The ANN approach greatly reduces the time required by design engineers to find the optimum solution. Apart from reducing the time required, it is possible to find solutions that make solar-energy applications more viable and thus more attractive to potential users. Also, this approach has the advantages of high computational speed, low cost for feasibility, rapid turn-around, which is especially important during iterative design phases, and ease of design by operators with little technical experience.