scholarly journals Transdisciplinary Assessment Matrix to Design Human-Machine Interaction

2020 ◽  
Author(s):  
Fabio Grandi ◽  
Margherita Peruzzini ◽  
Roberto Raffaeli ◽  
Marcello Pellicciari
Keyword(s):  
User Experience ◽  
Interaction Analysis ◽  
Mental Workload ◽  
Physiological Data ◽  
Human Machine Interaction ◽  
Simulated Environments ◽  
Assessment Matrix ◽  
Physical Comfort ◽  
Machine Interaction

Successful interaction with complex systems is based on the system ability to satisfy the user needs during interaction tasks, mainly related to performances, physical comfort, usability, accessibility, visibility, and mental workload. However, the “real” user experience (UX) is hidden and usually difficult to detect. The paper proposes a Transdisciplinary Assessment Matrix (TAS) based on collection of physiological, postural and visibility data during interaction analysis, and calculation of a consolidated User eXperience Index (UXI). Physiological data are based on heart rate parameters and eye pupil dilation parameters; postural data consists of analysis of main anthropometrical parameters; and interaction data from the system CAN-bus. Such a method can be adopted to assess interaction on field, during real task execution, or within simulated environments. It has been applied to a simulated case study focusing on agricultural machinery control systems, involving users with a different level of expertise. Results showed that TAS is able to validly objectify UX and can be used for industrial cases.

scholarly journals Method engineering to increase labor productivity and eliminate downtime

2020 ◽  
Vol 13 (2) ◽  
pp. 321
Author(s):  
Mildrend Montoya-Reyes ◽  
Alvaro González-Angeles ◽  
Ismael Mendoza-Muñoz ◽  
Margarita Gil-Samaniego-Ramos ◽  
Juan Ling-López
Keyword(s):  
Human Factor ◽  
Dead Time ◽  
Research Strategy ◽  
Method Engineering ◽  
Human Machine Interaction ◽  
Manufacturing Cell ◽  
Future Harm ◽  
The Individual ◽  
Machine Interaction

Purpose: The purpose of this work is to present a method based on the application of method engineering, in order to eliminate downtime and improve the manufacturing cell.Design/methodology/approach: The research strategy employed was a case study applied to a manufacturing company to explore the causes of excessive dead time and low productivity. The methodology used was divided in five steps. The first corresponds to the analysis of the lathe and grinding process; the second is the elaboration of the man-machine diagram to identify dead times; the third is the application of the improvement proposal; the fourth is the redistribution of the cell to optimize the process; the fifth is to conclude from the results obtained.Findings: With the proposed method, the downtime was reduced by 41% and only 50% of the available labor is required, therefore, it is concluded that the method can be used to redesign manufacturing cells.Research limitations/implications: This research was limited to analyzing and improving human-machine interaction, since work is not just the machine, or the individual alone, or the individual manipulating the machine, therefore, no other tools were used to improve the time of machines operation.Practical implications: Designing a manufacturing cell that allows the operator to do his job with less fatigue and not adapt the operator to the job, as commonly happens.Social implications: Companies must show a greater interest in occupational health by including human capital in their optimization plans to avoid future harm to workers.Originality/value: The key contribution of this paper focused on developing a novel and practical methodology to design or re-design manufacturing cells to improve productivity considering the human factor, inspired by the main concepts of method engineering.

Digital twin-driven complexity management in intelligent manufacturing

Digital Twin ◽  
2021 ◽  
Vol 1 ◽  
pp. 9
Author(s):  
Yuchen Wang ◽  
Xingzhi Wang ◽  
Fei Tao ◽  
Ang Liu
Keyword(s):  
Intelligent Manufacturing ◽  
Production Lines ◽  
Human Machine Interaction ◽  
Digital Twin ◽  
Complexity Management ◽  
Manufacturing Complexity ◽  
Design Production ◽  
Data Collections ◽  
Machine Interaction

Complexity management is one of the most crucial and challenging issues in manufacturing. As an emerging technology, digital twin provides an innovative approach to manage complexity in a more autonomous, analytical and comprehensive manner. This paper proposes an innovative framework of digital twin-driven complexity management in intelligent manufacturing. The framework will cover three sources of manufacturing complexity, including product design, production lines and supply chains. Digital twin provides three services to manage complexity: (1) real-time monitors and data collections; (2) identifications, diagnoses and predictions of manufacturing complexity; (3) fortification of human-machine interaction. A case study of airplane manufacturing is presented to illustrate the proposed framework.

Live–virtual–constructive simulation for testing and evaluation of air combat tactics, techniques, and procedures, Part 1: assessment framework

2019 ◽  
pp. 154851291988637
Author(s):  
Heikki Mansikka ◽  
Kai Virtanen ◽  
Don Harris ◽  
Jaakko Salomäki
Keyword(s):  
Situation Awareness ◽  
Mental Workload ◽  
Real Life ◽  
Assessment Framework ◽  
Simulation Framework ◽  
Human Machine Interaction ◽  
Air Combat ◽  
Machine Interaction ◽  
Testing And Evaluation

This paper advances live (L), virtual (V), and constructive (C) simulation methodologies by introducing a new LVC simulation framework for the development of air combat tactics, techniques, and procedures (TTP). In the framework, TTP is developed iteratively in separate C-, V-, and L-simulation stages. This allows the utilization of the strengths of each simulation class while avoiding the challenges of pure LVC simulations. The C-stage provides the optimal TTP with respect to the probabilities of survival ( Ps) and kill ( Pk) of aircraft without considering the human–machine interaction (HMI). In the V-stage, the optimal TTP is modified by assessing its applicability with Pk and Ps, as well as HMI measures regarding pilots’ situation awareness, mental workload, and TTP adherence. In the L-stage, real aircraft are used to evaluate whether the developed TTP leads to acceptable Pk, Ps, and HMI measures in a real-life environment. The iterative nature of the framework enables that V- or L-stages can reveal flaws of the TTP and an inadequate TTP can be returned to the C- or V-stage for revision. This paper is Part 1 of a two-part study. Part 2 demonstrates the use of the framework with operationally used C- and V-simulators as well as real F/A-18C aircraft and pilots.

scholarly journals A Typo-morphological Approach to Human–Machine Interaction Analysis in Music

2017 ◽  
Vol 22 (3) ◽  
pp. 315-323 ◽  
Author(s):  
Eric Maestri
Keyword(s):  
Interaction Analysis ◽  
Sound Sources ◽  
Human Machine Interaction ◽  
Conceptual Tool ◽  
Electronic Sound ◽  
Musical Perception ◽  
Musical Thinking ◽  
Analytical Perspective ◽  
Music Information ◽  
Machine Interaction

This article proposes an analytical perspective on the aural analysis of human–machine interaction. Starting from Pierre Schaeffer’s musical thinking, it focuses on the perception of sound morphologies that generate from human–machine interaction. This interaction, usually interpreted under the perspective of the devices and technological innovation, will be interpreted through the perspective of musical perception and semantics. In the article, the author applies the criterion of ‘allure’, that permits the analysis of the sound object’s sustain and indicates the sound agent as mechanical, living or natural. ‘Allure’ is used as a theoretical framework for the analysis of human–computer interaction (HCI) in music. Inspired by a hypothetical perceptive Turing’s test, the author employs the ‘allure’ criterion as a conceptual tool for an aural analysis of human–machine interaction: aural analysis can indeed reveal the interaction of sound agents through the cognitive mechanism of motor imagery. This approach can be extended and developed in music information retrieval. The author will develop this reflection showing the actuality of Schaeffer’s perspective in HCI analysis. Finally, to highlight the interaction between human and electronic sound sources, the author will consider a case study: the first movement of Traiettoria for piano and electronics by Marco Stroppa.

Live–virtual–constructive simulation for testing and evaluation of air combat tactics, techniques, and procedures, Part 2: demonstration of the framework

2019 ◽  
pp. 154851291988637 ◽  
Author(s):  
Heikki Mansikka ◽  
Kai Virtanen ◽  
Don Harris ◽  
Jaakko Salomäki
Keyword(s):  
Situation Awareness ◽  
Mental Workload ◽  
Real Life ◽  
Subject Matter Experts ◽  
Simulation Framework ◽  
Human Machine Interaction ◽  
Air Combat ◽  
Aircraft Pilots ◽  
Machine Interaction ◽  
Testing And Evaluation

In this paper, the use of the live (L), virtual (V), and constructive (C) simulation framework introduced in Part 1 of this two-part study is demonstrated in the testing and evaluation of air combat tactics, techniques, and procedures (TTP). Each TTP consists of rules that describe how aircraft pilots coordinate their actions to achieve goals in air combat. In the demonstration, the initial rules are defined by subject matter experts (SMEs). These rules are refined iteratively in separate C-, V-, and L-simulation stages. In the C-stage, an operationally used C-simulation model is used to provide optimal rules with respect to the probabilities of survival ( Ps) and kill ( Pk) of aircraft without considering human–machine interaction (HMI). In the V-stage, fighter squadrons’ V-simulators and SMEs’ assessment are used to modify these rules by evaluating their applicability with Pk and Ps, as well as HMI measures regarding pilots’ situation awareness, mental workload, and TTP rule adherence. In the L-stage, qualified fighter pilots fly F/A-18C aircraft in a real-life environment. Based on SMEs’ assessment, the TTP rules refined in the C- and L-stages result in acceptable Pk, Ps, and HMI measures in the L-stage. As such, the demonstration highlights the utility of the LVC framework.

Human-machine interaction: A case study on fake news detection using a backtracking based on a cognitive system

2019 ◽  
Vol 55 ◽  
pp. 77-81 ◽  
Author(s):  
Hoon Ko ◽  
Jong Youl Hong ◽  
Sangheon Kim ◽  
Libor Mesicek ◽  
In Seop Na
Keyword(s):  
Cognitive System ◽  
Fake News ◽  
Human Machine Interaction ◽  
Machine Interaction

scholarly journals Human Machine Interaction (HMI) in Offshore Drilling - oil rig workers’ opinion about their interaction with machines

2021 ◽  
Vol 11 (3) ◽  
pp. 181-191
Author(s):  
AH Siddique ◽  
T Shamsi ◽  
M Hasan
Keyword(s):  
Human Factor ◽  
Offshore Drilling ◽  
Human Machine Interaction ◽  
Study Approach ◽  
Drilling Operations ◽  
Oil Rig ◽  
Jack Up ◽  
Structured Approach ◽  
Machine Interaction

Introduction: There are huge numbers of drilling platforms in the world and once the worker on those platforms meet with an accident, the situation could be very serious. The consequence of this could be environmental, economic and in some cases fatal. Middle East, being one of the oil rich regions hence some of the largest operator works here. Companies here own various types of jack up rigs ranging from old generation rigs to the latest cyber-rig. This paper addresses what oil rig workers have to say about their interaction with machines, and how Human Machine Interaction (HMI) in Offshore Drilling can be improved with design. Method: A case study approach was undertaken The analysis in this paper draws on the interviews conducted with two different employees involved in operating the drilling operations conducted in the driller’s cabin of newly designed offshore rigs. A semi-structured approach was adopted, using themes identified through analysis of the preceding. The interviews were transcribed by the research team. Each interview was analyzed thematically with existing system and reported discrepancy Results: The study on Human Machine Interaction (HMI) and Human Factor regarding this has been conducted in the latest generation cyber rigs. There are many aspects of HMI and ergonomics but in this study a special concentration has been given to deal with the ergonomic standpoint and evaluates the drillers console controls.  Conclusions: When comparison is done with the existing machinery, few modifications can be thought of for better human machine interaction. A better human machine interaction system will ensure a more productive environment for the oil-rig workers.

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