Recreation, Technology, and System Safety

1974 ◽  
Vol 16 (5) ◽  
pp. 447-453
Author(s):  
T. M. Fraser
Keyword(s):  
Human Factors ◽  
Safety Management ◽  
Operational Environment ◽  
System Safety ◽  
Design Data ◽  
Machine System ◽  
Operational Design ◽  
Human Use ◽  
Machine Systems

A model of a man-machine-environment complex is presented in which it is shown that each man-machine system defines for itself an operational environment from within the ecosphere. It is pointed out that this model has application to all design for human use, and to operation of man-machine systems. Its specific application to recreation is shown in relation to three areas—considerations of system safety in recreation; responsibilities and liabilities of manufacturers of recreational equipment; and responsibilities of researchers, human factors engineers, and those who supply manufacturers with operational design data. It is argued that safety management requires an epidemiological rather than a therapeutic or piecemeal approach, and that until safety is considered systematically as an objective in the design and operation of a man-machine-environment complex, recreational or otherwise, we cannot attain the optimal.

Reshaping Human Factors Education in Times of Big Data: Practitioner Perspectives

2021 ◽  
Vol 65 (1) ◽  
pp. 1574-1578
Author(s):  
Bella Yigong Zhang ◽  
Mark Chignell
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Human Factors ◽  
Task Analysis ◽  
Data Science ◽  
Data Sets ◽  
Human Factors Engineering ◽  
Design Data ◽  
Wide Range ◽  
Human Use

Human Factors Engineering (HFE) is an applied discipline that uses a wide range of methodologies to better the design of systems and devices for human use. Underpinning all human factors design is the maxim to fit the human to the task/machine/system rather than vice versa. While some HFE methods such as task analysis and anthropometrics remain relatively fixed over time, areas such as human-technology interaction are strongly influenced by the fast-evolving technological trend. In times of big data, human factors engineers need to have a good understanding of topics like machine learning, advanced data analytics, and data visualization so that they can design data-driven products that involve big data sets. There is a natural lag between industrial trends and HFE curricula, leading to gaps between what people are taught and what they will need to know. In this paper, we present the results of a survey involving HFE practitioners (N=101) and we demonstrate the need for including data science and machine learning components in HFE curricula.

Predicting Graceful Extensibility of Human-Machine Systems: A New Analysis Method for Evaluating Extensibility Plots to Anticipate Distributed System Performance

2020 ◽  
Vol 64 (1) ◽  
pp. 313-318
Author(s):  
Dane A. Morey ◽  
Jesse M. Marquisee ◽  
Ryan C. Gifford ◽  
Morgan C. Fitzgerald ◽  
Michael F. Rayo
Keyword(s):  
Artificial Intelligence ◽  
Distributed System ◽  
System Performance ◽  
Healthcare Setting ◽  
Evaluation Methods ◽  
Performance Data ◽  
Analysis Method ◽  
Machine System ◽  
Machine Systems

With all of the research and investment dedicated to artificial intelligence and other automation technologies, there is a paucity of evaluation methods for how these technologies integrate into effective joint human-machine teams. Current evaluation methods, which largely were designed to measure performance of discrete representative tasks, provide little information about how the system will perform when operating outside the bounds of the evaluation. We are exploring a method of generating Extensibility Plots, which predicts the ability of the human-machine system to respond to classes of challenges at intensities both within and outside of what was tested. In this paper we test and explore the method, using performance data collected from a healthcare setting in which a machine and nurse jointly detect signs of patient decompensation. We explore the validity and usefulness of these curves to predict the graceful extensibility of the system.

Human Factors Goes to the Polls: The Voting Process as a Man-Machine System

1977 ◽  
Vol 21 (6) ◽  
pp. 545-547
Author(s):  
Tyler Blake
Keyword(s):  
Human Factors ◽  
Systems Analysis ◽  
Voter Behavior ◽  
Human Engineering ◽  
Machine System ◽  
Factors Analysis ◽  
Points Of Interest ◽  
And Performance ◽  
Critical Aspects ◽  
Human Factors Analysis

With the advent of voting machines and computers, the voting process has evolved into a complex man-machine system. However, to date no comprehensive human factors analysis of the voting process has been conducted. A systems analysis of the voting process yielded four major functions which impact critically on voter behavior and performance: (a) Design of voting instructions (b) Display of crucial voting information (c) Human engineering of voting equipment and procedures (d) Distribution of voting machines and personnel across and within voting districts. Some critical aspects of each area are discussed, and some additional points of interest to human factors specialists interested in researching this area are mentioned.

Core Principles of Human Factors Science

1994 ◽  
Vol 38 (9) ◽  
pp. 536-540 ◽  
Author(s):  
Thomas J. Smith
Keyword(s):  
Human Factors ◽  
Empirical Evidence ◽  
Unit Of Analysis ◽  
Machine System

This report introduces three core principles that define human factors science, and summarizes conceptual and empirical evidence in support of their validity. The principles are: (1) performance and design are interdependent; (2) the unit of analysis is the human-machine system; and (3) tailor design to the control capabilities of behavior.

Anthropology in Security Science

2020 ◽  
Vol 1 (2) ◽  
pp. 22-31
Author(s):  
Katarina Stolarikova
Keyword(s):  
Social Relations ◽  
Cultural Anthropology ◽  
Interdisciplinary Approach ◽  
Security Studies ◽  
Operational Environment ◽  
Proper Understanding ◽  
Human Use ◽  
The Military ◽  
Security Science ◽  
Effective Source

Security is in general closely linked to any activity of individuals and society as a whole, and bound to social relations, which are always decisive in shaping the security strategies of individual states. Security is one of the most important values of society and culture. Security and conflict resolution should be an object of the interdisciplinary approach. Socio-cultural anthropology applied in security studies is a valuable and effective source of knowledge protecting all actors. Only with a proper understanding of the operational environment with its variables and elements, it is possible to assure effective and human use of power and military decision-making tools and methods. While this paper brings the ideas of many authors, sociocultural anthropology is not that widely used in the military.

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