scholarly journals The potential for digital and human workforce integration

2020 ◽  
Author(s):  
Miriam Pekarčíková ◽  
Peter Trebuňa ◽  
Marek Kliment ◽  
Michal Dic
Keyword(s):  
New Technologies ◽  
Human Machine Interaction ◽  
New Era ◽  
Digital Factory ◽  
Human Labour ◽  
Workforce Integration ◽  
Machine Interaction

We are entering a new era of human-machine interaction and it is essential to underestimate the importance of people in the digital factory. Digital factories require a new way of working, this has several implications. The composition of the workforce wants to change, and companies want to be adequately employed and retain employees accordingly. It is equally important to work with people before and during the implementation of new technologies. The paper addresses the potential that the integration of digital and human labour can offer.

scholarly journals Human Factors Modelling Approach: Application to a Safety Device Supporting Crane Operations in Major Hazard Industries

2021 ◽  
Vol 13 (4) ◽  
pp. 2304
Author(s):  
Maria Francesca Milazzo ◽  
Giuseppa Ancione ◽  
Giancarlo Consolo
Keyword(s):  
Systematic Approach ◽  
New Technologies ◽  
Health And Safety ◽  
Safety Device ◽  
Human Machine Interaction ◽  
Safety And Health ◽  
Emotional Strain ◽  
Smart Safety ◽  
Machine Interaction ◽  
Modelling Approach

The European Directive on Safety and Health at Work and the following normatives have the scope to provide high levels of health and safety at work, based on some general principles managing activities and including the risk assessment to continuously improve processes and workplaces. However, the working area changes and brings new risks and challenges for workers. Several of them are associated with new technologies, which determine complex human–machine interactions, leading to an increased mental and emotional strain. To reduce these emerging risks, their understanding and assessment are important. Although great efforts have already been made, there is still a lack of conceptual frameworks for analytically assessing human–machine interaction. This paper proposes a systematic approach that, beyond including the classification in domains to explain the complexity of the human–machine interaction, accounts for the information processing of the human brain. Its validation is shown in a major accident hazard industry where a smart safety device supporting crane related operations is used. The investigation is based on the construction of a questionnaire for the collection of answers about the feeling of crane operators when using the device and the evaluation of the Cronbach’s alpha to measure of the reliability of the assessment.

scholarly journals Interface development trends: social robotics and human-machine interaction

2020 ◽  
Vol 20 (4) ◽  
pp. 25-30
Author(s):  
S.B. Kamesheva ◽  
Keyword(s):  
Comparative Analysis ◽  
New Technologies ◽  
Human Life ◽  
Social Robotics ◽  
Development Trends ◽  
Human Machine Interaction ◽  
The World ◽  
Machine Interaction

This article discusses the development of new technologies in the field of social robotics and humanmachine interaction interfaces. A comparative analysis was proposed about the availability levels of technologies in Russia and in the world. The consequences of the development and integration of social robotics in human life are considered.

scholarly journals LOVE END POBOTS. Will humanity become digisexual?

2019 ◽  
Vol 23 (3) ◽  
pp. 312-323
Author(s):  
F G Maylenova
Keyword(s):  
Sex Industry ◽  
Human Communication ◽  
Human Machine Interaction ◽  
New Era ◽  
Private Lives ◽  
Human Love ◽  
Smart Machines ◽  
The One ◽  
The Relationship ◽  
Machine Interaction

Mechanisms that help people in their lives have existed for centuries, and every year they become not only more and more complex and perfect, but also smarter. It is impossible to imagine modern production without smart machines, but today, with the advent of robotic android robots, their participation in our private lives and, consequently, their influence on us, becomes much more obvious. After all, the robots that are increasingly taking root in our lives today, are no longer perceived by us simply as mechanisms, we endow them with human properties of character and often experience different emotions in relation to them. The appearance of a robot capable of experiencing (or still imitating?) emotions can be considered a qualitatively new step in the life of a person with robots. With such robots, it will be possible to be friends with them, to look for (and probably get) support from them. It is expected that they will be able to brighten up the loneliness of a variety of people, including disabled people, lonely old people, to help in caring for the sick and at the same time entertain them with communication. Speaking about the relationship with robots, it is difficult not to mention such an important aspect of human communication as sex, which, on the one hand, is not only a need, as in all living beings, but also the highest form of human love and intimacy, and on the other - can exist and be satisfied completely separate from love. It is this duality of human nature that has contributed to the transformation of sex and the human body into a commodity and the development of prostitution, pornography and the use of sexual images in advertising. The emergence of android robots can radically change our lives, including the most intimate areas of life. The development of the artificial intelligence sex industry opens up a whole new era of human-machine interaction. When smart machines become not only comfortable and entertaining, but literally enter our flesh, become our interlocutors, friends and lovers who share our feelings and interests, what will be the consequences of this unprecedented intimacy between man and machine?

scholarly journals Combining Big Data and Artificial Intelligence for Managing Collective Knowledge in Unpredictable Environment—Insights from the Chinese Case in Facing COVID-19

2020 ◽  
Author(s):  
Francesca Iandolo ◽  
Francesca Loia ◽  
Irene Fulco ◽  
Chiara Nespoli ◽  
Francesco Caputo
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Knowledge Management ◽  
Business Models ◽  
New Technologies ◽  
Human Machine Interaction ◽  
Decision Making Processes ◽  
Unpredictable Environment ◽  
Definition Of ◽  
Machine Interaction

AbstractThe increasing fluidity of social and business configurations made possible by the opportunities provided by the World Wide Web and the new technologies is questioning the validity of consolidated business models and managerial approaches. New rules are emerging and multiple changes are required to both individuals and organizations engaged in dynamic and unpredictable paths.In such a scenario, the paper aims at describing the potential role of big data and artificial intelligence in the path toward a collective approach to knowledge management. Thanks to the interpretative lens provided by systems thinking, a framework able to explain human-machine interaction is depicted and its contribution to the definition of a collective approach to knowledge management in unpredictable environment is traced.Reflections herein are briefly discussed with reference to the Chinese governmental approach for managing COVID-19 spread to emphasise the support that a technology-based collective approach to knowledge management can provide to decision-making processes in unpredictable environments.

scholarly journals Simulation of Human-Machine Interaction in an Automotive Manufacturing Cell Using Digital Factory (DF)

2016 ◽  
Vol 14 (2) ◽  
pp. 133-140
Author(s):  
Guilherme Canuto da Silva ◽  
Leonardo Morais de Souza ◽  
Paulo Carlos Kaminski
Keyword(s):  
Human Machine Interaction ◽  
Automotive Manufacturing ◽  
Digital Factory ◽  
Manufacturing Cell ◽  
Machine Interaction

scholarly journals EXPLORATORY RESEARCH ON CULTURAL COMPUTING FOR HUMAN-COMPUTER INTERACTION. THE CASE OF SUSTAINABILITY.

2021 ◽  
Vol 1 ◽  
pp. 1471-1480
Author(s):  
Lou Grimal ◽  
Inès di Loreto ◽  
Nadège Troussier
Keyword(s):  
Human Computer Interaction ◽  
New Technologies ◽  
Daily Basis ◽  
Engineering Practice ◽  
Exploratory Research ◽  
Human Machine Interaction ◽  
Design For Sustainability ◽  
Cultural Computing ◽  
Machine Interaction ◽  
Computer Interaction

AbstractThe digital transition refers to the fact that information technology (IT) tools are used in all our activities on a daily basis. In this article, we will study the use of IT tools in engineering activities. It is possible to say that today IT tools accompany engineers in their professional practices. This presence of computing has also enabled the development and considerable changes in human-technologies interactions. Moreover, the socio-economic context has evolved considerably, and environmental issues have taken on an important role in engineering. We ask whether and to what extent these two contexts (digital and ecological) have changed the expectations of design professionals with regard to IT tools. Should the way of addressing the type of human-machine interaction in engineering tools be modified in depth? The objective of this paper is to understand what types of human-computer interaction would allow a more satisfying user experience for those future engineers who are using new technologies and marked by the ecological urgency. To do so, we will focus on a particular engineering context (design for sustainability) and a particular engineering practice (LCA practice).

Concise CNN model for face expression recognition

2021 ◽  
pp. 1-9
Author(s):  
Harshadkumar B. Prajapati ◽  
Ankit S. Vyas ◽  
Vipul K. Dabhi
Keyword(s):  
Network Architecture ◽  
Expression Recognition ◽  
Human Machine Interaction ◽  
Face Expression ◽  
Computational Overhead ◽  
Average Accuracy ◽  
Proposed Model ◽  
Face Expression Recognition ◽  
Expression Classification ◽  
Machine Interaction

Face expression recognition (FER) has gained very much attraction to researchers in the field of computer vision because of its major usefulness in security, robotics, and HMI (Human-Machine Interaction) systems. We propose a CNN (Convolutional Neural Network) architecture to address FER. To show the effectiveness of the proposed model, we evaluate the performance of the model on JAFFE dataset. We derive a concise CNN architecture to address the issue of expression classification. Objective of various experiments is to achieve convincing performance by reducing computational overhead. The proposed CNN model is very compact as compared to other state-of-the-art models. We could achieve highest accuracy of 97.10% and average accuracy of 90.43% for top 10 best runs without any pre-processing methods applied, which justifies the effectiveness of our model. Furthermore, we have also included visualization of CNN layers to observe the learning of CNN.

scholarly journals A Bibliometric Analysis of Human-Machine Interaction Methodology for Electric-Powered Wheelchairs Driving from 1998 to 2020

2021 ◽  
Vol 18 (14) ◽  
pp. 7567
Author(s):  
Xiaochen Zhang ◽  
Lanxin Hui ◽  
Linchao Wei ◽  
Fuchuan Song ◽  
Fei Hu
Keyword(s):  
The Elderly ◽  
Research Field ◽  
Future Research ◽  
Human Machine Interaction ◽  
Research Directions ◽  
The Past ◽  
Power Wheelchairs ◽  
The Disabled ◽  
Future Research Directions ◽  
Machine Interaction

Electric power wheelchairs (EPWs) enhance the mobility capability of the elderly and the disabled, while the human-machine interaction (HMI) determines how well the human intention will be precisely delivered and how human-machine system cooperation will be efficiently conducted. A bibliometric quantitative analysis of 1154 publications related to this research field, published between 1998 and 2020, was conducted. We identified the development status, contributors, hot topics, and potential future research directions of this field. We believe that the combination of intelligence and humanization of an EPW HMI system based on human-machine collaboration is an emerging trend in EPW HMI methodology research. Particular attention should be paid to evaluating the applicability and benefits of the EPW HMI methodology for the users, as well as how much it contributes to society. This study offers researchers a comprehensive understanding of EPW HMI studies in the past 22 years and latest trends from the evolutionary footprints and forward-thinking insights regarding future research.

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