Dealing with Ecological Validity and User Needs when Developing Simulation Based Training Equipment – Case Study of a Medical Palpation Task Trainer

Ege, D. N.; Lilleløkken, Oscar; Auflem, Marius; Steinert, Martin

doi:10.1016/j.procir.2020.03.116

Cited by 9 publications

(4 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of the term learning is not for nothing since the product development process encompasses a series of procedures necessary to deliver a specific technological artifact. In addition, the prototyping of technological products causes information to be generated through the performance of the tests, which, therefore, will subsidize the decision-making process of the product engineering design team (Ege, 2020;Ulrich & Eppinger, 2012;Jensen et al, 2016).…”

Section: Prototypes: Literature Reviewmentioning

confidence: 99%

Prototype Testing: Multicase Study in a Professional Masters Degree in Northern Brazil

Silva,

Soares,

Inácio

et al. 2024

J. Professional Business Review

View full text Add to dashboard Cite

Objective: This study describes the significance of prototype tests for quality assurance in the engineering of technological products based on multi-case research on products generated in a professional master's course in the North of Brazil. Theoretical Framework: The constructed theoretical architecture is based on the technology generation process recommended by the Scientific-Technological Method (MCT). The method is composed of two operational dimensions, one aimed at generating scientific knowledge to be used in the other stage, for technological creation. In this study, only the stages of the scientific dimension were used. Methodology: The method used was the conceptual bibliographic one, which consists of a) defining research questions, b) collecting data, c) organizing and analyzing data and d) generating answers to the research questions. Furthermore, the multi-case study technique was used, through the results of three technological products in the area of Education. Findings: The results showed that prototype testing represents not only a relevant stage in product development but can also be seen as a management tool so that the generated artifacts stand out for their quality, efficiency and effectiveness. Research, Practical and Social Implications: The main practical implication is that carrying out prototype tests generates greater reliability and credibility to the process of generating technologies related to the processes relevant to product engineering. Originality/Value: The study demonstrates that an artifact can only be considered a technology if its prototype passes all the tests to which it is subjected.

show abstract

Section: Prototypes: Literature Reviewmentioning

confidence: 99%

Prototype Testing: Multicase Study in a Professional Masters Degree in Northern Brazil

Silva,

Soares,

Inácio

et al. 2024

J. Professional Business Review

View full text Add to dashboard Cite

show abstract

“…Prototyping, by its very design, allows for iterative development and testing, enabling small businesses to explore Industry 4.0 technologies without committing extensive resources upfront, and can simplify development of new solutions with focused purposes to test core assumptions of eventual designs (Lim et al, 2008), by using prototypes for continuous learning (Lauff et al, 2018) . Prototypes can accommodate changing or emerging requirement (Kriesi et al, 2016), help discover unknown unknowns that a new system must accommodate (Steinert and Leifer, 2012), elicit the tacit knowledge of the workers the system will be assisting (Ege et al, 2020) and facilitate communicating (Buchenau and Suri, 2000). This method stands in contrast to the large-scale, capitalintensive implementations that have traditionally characterized Industry 4.0 rollouts, placing them beyond the reach of smaller firms.…”

Section: Introductionmentioning

confidence: 99%

Prototyping industry 4.0: enhancing efficiency and productivity in small enterprises through iteration and low-cost solutions

Havsgård,

Ege,

Steinert

2024

Proc. Des. Soc.

View full text Add to dashboard Cite

This paper explores the implementation of Industry 4.0 technologies in Small Enterprises (SEs), focusing on the unique challenges they face. It presents four case studies demonstrating how low-cost, low-effort solutions can enhance efficiency and productivity in small companies. The solutions, developed in a local makerspace, address specific manufacturing challenges that lack affordable or existing off-the-shelf solutions. The paper highlights the value of iterative prototyping in implementing Industry 4.0 solutions and discusses how this approach can help SEs overcome adaptation challenges.

show abstract

“…The development has been highly iterative, and thus several prototypes have been built to answer technical questions, as well as being a manifestation of the idea that can be presented to users to gain important feedback ( Auflem et al, 2019 ). However, the challenge of the subjective matter of facial cues and expressions is obtaining actionable and objective data to measure the performance of prototypes by multimodal evaluation ( Moosaei and Riek, 2013 ; Ege et al, 2020 ). This is particularly challenging when evaluating expressive robots due to the resolution and fidelity of the presented prototype being perceived differently, especially when users are unaware of the current state of development.…”

Section: Introductionmentioning

confidence: 99%

Facing the FACS—Using AI to Evaluate and Control Facial Action Units in Humanoid Robot Face Development

et al. 2022

Self Cite

View full text Add to dashboard Cite

This paper presents a new approach for evaluating and controlling expressive humanoid robotic faces using open-source computer vision and machine learning methods. Existing research in Human-Robot Interaction lacks flexible and simple tools that are scalable for evaluating and controlling various robotic faces; thus, our goal is to demonstrate the use of readily available AI-based solutions to support the process. We use a newly developed humanoid robot prototype intended for medical training applications as a case example. The approach automatically captures the robot’s facial action units through a webcam during random motion, which are components traditionally used to describe facial muscle movements in humans. Instead of manipulating the actuators individually or training the robot to express specific emotions, we propose using action units as a means for controlling the robotic face, which enables a multitude of ways to generate dynamic motion, expressions, and behavior. The range of action units achieved by the robot is thus analyzed to discover its expressive capabilities and limitations and to develop a control model by correlating action units to actuation parameters. Because the approach is not dependent on specific facial attributes or actuation capabilities, it can be used for different designs and continuously inform the development process. In healthcare training applications, our goal is to establish a prerequisite of expressive capabilities of humanoid robots bounded by industrial and medical design constraints. Furthermore, to mediate human interpretation and thus enable decision-making based on observed cognitive, emotional, and expressive cues, our approach aims to find the minimum viable expressive capabilities of the robot without having to optimize for realism. The results from our case example demonstrate the flexibility and efficiency of the presented AI-based solutions to support the development of humanoid facial robots.

show abstract

Dealing with Ecological Validity and User Needs when Developing Simulation Based Training Equipment – Case Study of a Medical Palpation Task Trainer

Cited by 9 publications

References 10 publications

Prototype Testing: Multicase Study in a Professional Masters Degree in Northern Brazil

Prototype Testing: Multicase Study in a Professional Masters Degree in Northern Brazil

Prototyping industry 4.0: enhancing efficiency and productivity in small enterprises through iteration and low-cost solutions

Facing the FACS—Using AI to Evaluate and Control Facial Action Units in Humanoid Robot Face Development

Contact Info

Product

Resources

About