Environmental Impact for Labor Stations Learning through Emotional Domotics Analysis and Workstation Simulation

Gutiérrez-Martínez, Yadira; Navarro-Tuch, Sergio A.; López-Aguilar, Ariel A.; Bustamante-Bello, Rogelio

doi:10.1109/icmeae.2018.00030

Cited by 4 publications

(4 citation statements)

References 11 publications

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“…Cognitive ergonomics emphasizes the analysis of mental functions and the design of user-centered systems that support cognitive tasks processes, to reduce the psychological wear [2]. Besides that, several studies have been carried out to address cognitive problems [3][4][5], most of them implementing traditional techniques for data collection, such as surveys or interviews. Although some proposals consider the implementation of technological strategies in data collection, they are invasive and could affect the experimental conditions.…”

Section: Introductionmentioning

confidence: 99%

Cognitive Ergonomics Evaluation Assisted by an Intelligent Emotion Recognition Technique

et al. 2020

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The study of the cognitive effects caused by work activities are vital to ensure the well-being of a worker, and this work presents a strategy to analyze these effects while they are carrying out their activities. Our proposal is based on the implementation of pattern recognition techniques to identify emotions in facial expressions and correlate them to a proposed situation awareness model that measures the levels of comfort and mental stability of a worker and proposes corrective actions. We present the experimental results that could not be collected through traditional techniques since we carry out a continuous and uninterrupted assessment of the cognitive situation of a worker.

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Section: Introductionmentioning

confidence: 99%

Cognitive Ergonomics Evaluation Assisted by an Intelligent Emotion Recognition Technique

et al. 2020

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“…Based on this lab design and evaluations, the specific and general conclusions including the pros and cons were discussed. The cyber-physical spaces that can improve and help the ergonomic environment in the representation of different scenarios, which may open the field of study to develop more and better adaptive features that can better meet clients' needs and lead to more complete studies and more information about the perception of the products and/or services [19].…”

Section: Cyber-physical Integration Technologymentioning

confidence: 99%

Application of Cyber-Physical System Technology on Material Color Discrimination

et al. 2022

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With the innovative advance in science and technology, manufacturing production methods have made considerable progress. However, before the production process is actually implemented, it is important to examine whether the design can meet the actual need. By applying cyber-physical system technology to test the production process, the development problems of the actual construction can be avoided. Based on the existing components, this study incorporated the cyber-physical system via innovative integration. In addition to the human–machine interface, this was employed as the operating spindle to integrate the material color identification system of the physical organization. This study also adopted the automated virtual factory constructed by the simulation software of Factory IO with an aim to achieve the technical application.

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“…The generation of cyber-physical spaces that improve the ergonomic environment [45] will help in the representation of different scenarios, which may open the field of study to more and better adaptive features that can better integrate the client and have more complete studies and more information about the perception of the products and/or services. That is why the UX experiment, which the students analyzed for the study case, has among its long term objectives the creation of cyber-physical spaces adaptable to the needs of the client.…”

Section: Cyber-physical Spacesmentioning

confidence: 99%

A Challenge-Based Learning Experience in Industrial Engineering in the Framework of Education 4.0

et al. 2021

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Current tendencies of product, project and services development focus on a higher consideration of the User Experience (UX). Therefore, traditional training and teaching methodologies need to adapt to prepare the students to develop strategies for problem solving for their professional education. Such needs have risen and interest in tendencies such as education and Industry 4.0 has grown. This paper presents and analyzes the process and results of a teaching implementation methodology based on Challenge-Based Learning (CBL). The paper describes the process followed, explaining the methodology precedents that led to the final implementation case. It also mentions previous experiments on product analysis and home automation developments that are linked to implementation of the technology. This case’s implementation, analysis and experimentation integrated the use of Emotional Domotics (ED) Tools for the UX analysis, to grant feedback and compare the students’ results with the bio-metrical and emotional computational analysis. The methodology, described through this document, allowed the students to better understand and experience some of the implications of an interconnected system with instant information feedback. This allowed them to better grasp part of the impact that the tendency towards the Internet of Things (IoT) is currently having, and the impact of the improvement proposals from the students.

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Environmental Impact for Labor Stations Learning through Emotional Domotics Analysis and Workstation Simulation

Cited by 4 publications

References 11 publications

Cognitive Ergonomics Evaluation Assisted by an Intelligent Emotion Recognition Technique

Cognitive Ergonomics Evaluation Assisted by an Intelligent Emotion Recognition Technique

Application of Cyber-Physical System Technology on Material Color Discrimination

A Challenge-Based Learning Experience in Industrial Engineering in the Framework of Education 4.0

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