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Статті в журналах з теми "Complex human systems"

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Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 29 січня 2023

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1

Pelech, William. "Complex Systems and Human Behavior." Social Work Education 30, no. 8 (December 2011): 1023–24. http://dx.doi.org/10.1080/02615479.2011.554224.

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2

Moray, Neville P. "Human Factors in Complex Systems." Proceedings of the Human Factors Society Annual Meeting 29, no. 4 (October 1985): 323–24. http://dx.doi.org/10.1177/154193128502900401.

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The appearance of a whole number of “Human Factors” dedicated to Automation bears witness to the importance of this topic. Not merely are we designing increasingly complex systems, but we are asking that they be operated by crews with fewer and fewer people The introduction of automation, robotics and artificial intelligence will, it is assumed, make for more efficiency. But our knowledge of the human factors of these systems is primitive. This session it is hoped will act as a focus for interest in such topics.

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3

Mayer-Kress, Gottfried, Yeou-Teh Liu, and Karl M. Newell. "Complex systems and human movement." Complexity 12, no. 2 (2006): 40–51. http://dx.doi.org/10.1002/cplx.20151.

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4

Ma'ayan, Avi. "Complex systems biology." Journal of The Royal Society Interface 14, no. 134 (September 2017): 20170391. http://dx.doi.org/10.1098/rsif.2017.0391.

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Complex systems theory is concerned with identifying and characterizing common design elements that are observed across diverse natural, technological and social complex systems. Systems biology, a more holistic approach to study molecules and cells in biology, has advanced rapidly in the past two decades. However, not much appreciation has been granted to the realization that the human cell is an exemplary complex system. Here, I outline general design principles identified in many complex systems, and then describe the human cell as a prototypical complex system. Considering concepts of complex systems theory in systems biology can illuminate our overall understanding of normal cell physiology and the alterations that lead to human disease.

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5

Warwick, Walter, Laura Marusich, and Norbou Buchler. "Complex Systems And Human Performance Modeling." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 57, no. 1 (September 2013): 803–7. http://dx.doi.org/10.1177/1541931213571175.

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6

Cox, Ralf F. A., Ruud J. R. Den Hartigh, Michael J. Richardson, Chen Yu, and Till D. Frank. "Complex Dynamical Systems in Human Development." Complexity 2019 (July 1, 2019): 1–3. http://dx.doi.org/10.1155/2019/5010413.

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7

Carayon, Pascale. "Human factors of complex sociotechnical systems." Applied Ergonomics 37, no. 4 (July 2006): 525–35. http://dx.doi.org/10.1016/j.apergo.2006.04.011.

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8

Crisp, Harry E. "Engineering of Complex, Human Centric Systems." INSIGHT 3, no. 1 (April 2000): 11–12. http://dx.doi.org/10.1002/inst.20003111.

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9

Rouse, William B. "Enterprise Support Systems: Human Interaction with Complex Organizational Systems." IFAC Proceedings Volumes 28, no. 15 (June 1995): 125–30. http://dx.doi.org/10.1016/s1474-6670(17)45220-7.

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10

Sergeev, Sergey. "Intelligent technosymbiosis in complex human-machine systems." Ergodesign 2021, no. 1 (March 30, 2021): 70–76. http://dx.doi.org/10.30987/2658-4026-2021-1-70-76.

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Анотація:

The article discusses the consequences of implementing and using artificial intelligence systems in complex ergatic systems. It is shown that when creating systems and technologies of artificial intelligence, it is necessary to take into account the psychological issues of ensuring the symbiotic interaction of a person with an evolving technogenic environment. The perspective directions of engineering and psychological research using the conceptual apparatus of post-nonclassical psychology are considered.

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11

Uriadnikova, Inga, and Vasyl Zaplatynskyi. "MANAGEMENT OF COMPLEX SOCIAL HUMAN SECURITY SYSTEMS." JOURNAL of Donetsk mining institute, no. 1 (2021): 135–42. http://dx.doi.org/10.31474/1999-981x-2021-1-135-142.

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Purpose: scientific substantiation of social security based on the principles of management of complex systems and an example of the application of mathematical modeling to determine internal risks in a complex social system.. Methods: use of elements of mathematical modeling, in particular the theory of optimal control and linear programming; analysis of the content of the concept of “security paradox”, logical-determinant assessment of this concept. Results: it is proposed to apply the principles of management of complex systems to ensure the social security of groups of people and society. An example of the application of mathematical modeling to determine internal risks in a complex social system is given. In order to ensure the proper functioning of risk mitigation measures in complex social systems, it is proposed to introduce compensatory risks, which may be penalties or other measures that can be considered as specifically introduced risks for individuals. The introduction of external protection against a number of dangers can provoke the emergence of a “security paradox”, the essence of which is to reduce the personal activity of counteracting risk by relying on external protection. Effective social security requires the development of a culture of security, morality, worldview and legislative measures.. Scientific novelty: the use of elements of mathematical modeling for risk assessment in the social security management system is proposed; introduced the concept of “security paradox”, which arises when security is moved from the individual to the collective level. The use of principles of management of complex systems for social security is offered. Practical significance: The use of a systematic approach and principles of management of complex systems in ensuring the security of society will identify the most important risks and focus on their prevention, prevention or reduction. An example of mathematical modeling is proposed to assess the internal risks of the social system.

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12

Gregoriades, Andreas, Jack Hadjicosti, Christos Florides, and Maria Pamapaka. "Human Requirements Validation for Complex Systems Design." Procedia Manufacturing 3 (2015): 3033–40. http://dx.doi.org/10.1016/j.promfg.2015.07.848.

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13

Tschiersch, Inga, and Dietrich Brandt. "The Human Operator in Complex Networked Systems." IFAC Proceedings Volumes 30, no. 18 (August 1997): 1261–65. http://dx.doi.org/10.1016/s1474-6670(17)42570-5.

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14

Rortveit, Guri, Edvin Schei, and Roger Strand. "Complex Systems and Human Complexity in Medicine." Complexus 2, no. 1 (2004): 2–6. http://dx.doi.org/10.1159/000087849.

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15

Sage, Andrew P. "Human and Organizational Interactions in Complex Systems." IFAC Proceedings Volumes 28, no. 23 (September 1995): 11–22. http://dx.doi.org/10.1016/s1474-6670(17)46589-x.

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16

Allen, P. M., and J. M. McGlade. "Modelling complex human systems: A fisheries example." European Journal of Operational Research 30, no. 2 (June 1987): 147–67. http://dx.doi.org/10.1016/0377-2217(87)90092-0.

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17

Usó-Domenech, Jose-Luis, Josué Antonio Nescolarde-Selva, and Miguel Lloret-Climent. "Causality in complex systems." Kybernetes 46, no. 4 (April 3, 2017): 590–602. http://dx.doi.org/10.1108/k-08-2016-0195.

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Анотація:

Purpose The purpose of this paper is the study of the causal relationship. The concept called “naive” causality can be stated more generally as the belief (or knowledge) that results follow actions, and that these results are not random, but are consistently linked with causes. The authors have thus formed a very general and precarious concept of causality, but one that appropriately reflects the meaning of causality at the level of common sense. Design/methodology/approach Mathematical and logical development of the causality in complex systems. Findings There are three aspects of rationality that give the human mind a unique vision of reality: quantification: reduction of phenomena to quantitative terms; cause and effect: causal relationship, which allows predicting; and the necessary and valid use of (deterministic) mechanical models. This work is dedicated to the second aspect, that of causality, but at present leaves aside the discussion of possibility-necessity, proposing a modification to philosophical synthesis of causality specified by Bunge (1959), with contributions made by Patten et al. (1976) and LeShan and Margenau (1982). Originality/value Causality is an epistemological category, because it concerns the experience and knowledge of the human subject, without being necessarily a property of reality.

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18

Sevillian, Dujuan B. "Human Systems Integration." International Journal of Aviation Technology, Engineering and Management 1, no. 2 (July 2011): 17–45. http://dx.doi.org/10.4018/ijatem.2011070102.

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Effective Human Factors Engineering (HFE) has provided the aerospace industry with design considerations that promote aviation safety in the development of complex aircraft systems, as well as the operators and maintainers that utilize those systems. HFE is an integral aspect within the systems engineering process. Measuring the effectiveness of Human Systems Integration (HSI) in the research & development stage is critical for the design of new and modified systems. This paper focuses on the importance of design and integration in the product development stages as well as understanding the impact on the user population.

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19

Arora, Manish. "Environment and human health as complex interacting systems." BioEssays 43, no. 9 (August 13, 2021): 2100177. http://dx.doi.org/10.1002/bies.202100177.

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20

Sloman, Steven A., and Philip M. Fernbach. "Human representation and reasoning about complex causal systems." Information Knowledge Systems Management 10, no. 1-4 (2011): 85–99. http://dx.doi.org/10.3233/iks-2012-0187.

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21

LIU, PEIYONG, QINGLING ZHANG, LI YANG, and CHAO LIU. "PASSIVE CONTROL OF HUMAN BODY COMPLEX SINGULAR SYSTEMS." International Journal of Biomathematics 06, no. 04 (July 2013): 1350022. http://dx.doi.org/10.1142/s1793524513500228.

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Анотація:

Due to the complexity of interaction among constituents inside the whole system, it is difficult to establish accurate mathematics models to describe and analyze the complex systems exactly. There are few attempts concerning on the moving process of endocrine disruptor in human bodies, which have been the polluted material worldwide related to the reproduction, existence and development of human being. Focusing on such two challenging issues, a multi-compartment model of endocrine disruptor Benzene moving in the human body complex system is established in this paper. Furthermore, passivity of this model is described systematically. A feedback controller for this descriptor biological complex system is used under the station of strict passivity, and an example of the controller is given for a particular instantiation of the model.

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22

Moray, Neville. "Identifying mental models of complex human–machine systems." International Journal of Industrial Ergonomics 22, no. 4-5 (November 1998): 293–97. http://dx.doi.org/10.1016/s0169-8141(97)00080-2.

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23

Nursten, Jean. "Christopher G Hudson, Complex systems and human behaviour." Journal of Social Work 13, no. 5 (August 25, 2013): 558–59. http://dx.doi.org/10.1177/1468017313485800.

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24

Fissel, Jim, and Ron Crea. "Applying Human Factors Principles to Complex Software Systems." Proceedings of the Human Factors Society Annual Meeting 32, no. 5 (October 1988): 267–70. http://dx.doi.org/10.1177/154193128803200504.

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Over the past four years, the User Systems Engineering Group and the Industrial Systems Division of Texas Instruments have worked jointly on designing and developing a computer aided software engineering (CASE) tool to enhance the productivity of process and control engineers. This paper discusses the analysis and design procedures employed during this project and how these procedures focused on customer needs. Specifically, the areas addressed are the multidisciplinary design team, the task analysis, minimal-constraint analysis, and prototype design and iteration.

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25

Dekker, Sidney. "Investigating Human Error: Incidents, Accidents and Complex Systems." Risk Management 6, no. 1 (January 2004): 73–74. http://dx.doi.org/10.1057/palgrave.rm.8240175.

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26

Hexmoor, Henry, Brian McLaughlan, and Gaurav Tuli. "Natural human role in supervising complex control systems." Journal of Experimental & Theoretical Artificial Intelligence 21, no. 1 (February 2009): 59–77. http://dx.doi.org/10.1080/09528130802386093.

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27

Brehmer, Berndt. "Dynamic decision making: Human control of complex systems." Acta Psychologica 81, no. 3 (December 1992): 211–41. http://dx.doi.org/10.1016/0001-6918(92)90019-a.

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28

Sen, Dilara, and Albert J. Keung. "Capturing complex epigenetic phenomena through human multicellular systems." Current Opinion in Biomedical Engineering 16 (December 2020): 34–41. http://dx.doi.org/10.1016/j.cobme.2020.05.008.

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29

Opromolla, Antonio, and Valentina Volpi. "Cities as Complex Systems." International Journal of Urban Planning and Smart Cities 1, no. 2 (July 2020): 1–16. http://dx.doi.org/10.4018/ijupsc.2020070101.

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Анотація:

Cities can be considered as “complex systems,” since they are characterized by multiple connected elements and by relations among them that are not always recognizable. The massive presence of digital technologies in urban spaces that transform them into “hybrid” spaces makes cities even more complex. This article shows some of the challenges that arise in this new context (e.g., rethinking the people experience in the urban spaces; developing new “urban competences” using in an effective way the large amount of produced data; focusing on the human aspects rather than the technological ones; thinking of sustainable solutions from the environmental, social, and economic point of view; etc.), and it proposes the application of collaborative design frameworks that can offer specific tools and methodologies to face them.

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30

Cooke, Nancy J., Nathan J. McNeese, and Steven M. Shope. "Human Systems Integration." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 1459–63. http://dx.doi.org/10.1177/1541931213601334.

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Анотація:

Human Systems Integration (HSI) is a discipline in which human capabilities and limitations across various dimensions are considered in the context of the design and evaluation of a dynamic system of people, technology, environment, tasks, organization, and other systems with the ultimate goal of achieving system resilience and adaptation, approaching joint optimization. An HSI perspective is described in the context of the Two Eagles mission, in which two pilots crossed the Pacific Ocean in a gas balloon. The two pilots set both the record for the longest duration and for the longest distance in a gas balloon. The system extended far beyond the balloon and the two pilots. It was complex and distributed around the world. There were many challenges associated with HSI issues, which are detailed in this paper and exemplify the value of a systems perspective.

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31

Mygal, Galyna, and Olga Protasenko. "UNMANNED SYSTEMS: HUMAN FACTOR PROBLEMS." Bulletin of the National Technical University «KhPI» Series: New solutions in modern technologies, no. 4(14) (December 28, 2022): 46–52. http://dx.doi.org/10.20998/2413-4295.2022.04.07.

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With the creation of unmanned systems the development of ergonomics has entered a new stage in studying human-machine interaction and exacerbated safety issues. The requirements for safety, resistance to failures and reliability of the systems and their main connection – the human operator, were changed. New challenges – new human problems in digital systems. Digitization has made it possible to create unmanned systems, but it has also created an ergonomic contradiction between intentions and results. Its essence is that, in contrast to the expected increase in efficiency and safety, the increase in unmanned systems automation leads to an increase in the risks associated with human influence. Unmanned aerial systems have unique ergonomic challenges related to the specifics of the UAV operator and the technical features of the UAVs themselves as complex systems. In this regard, it is relevant to analyze the reasons for the continuing manifestations of the human factor phenomenon in the functioning of unmanned systems and the search for ways to reduce them. The purpose is to study the human factor problem in complex systems that use information and communication technologies, using the example of unmanned aircraft systems. The article takes a critical look at the human factor issues in unmanned aviation that are not being addressed by existing approaches. An iceberg model of change management in the safety of complex systems is proposed. It is shown that the human factor in unmanned systems arises and severely decreases because of the nontransdisciplinary nature of the education of modern engineers and operators. And the essential role in overcoming this problem is knowledge aimed at understanding the capabilities and limitations of a person as the main link of the system, which then makes decisions in the management process. It is shown that it is necessary to pay considerable attention to the development of ergonomic thinking among everyone whose activities relate to the life cycle of a complex system. That is, it is the transdisciplinarity of the education of specialists that allows for reducing the specified risks of human-machine interaction.

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32

Lyons, Joseph B., Kolina S. Koltai, Nhut T. Ho, Walter B. Johnson, David E. Smith, and R. Jay Shively. "Engineering Trust in Complex Automated Systems." Ergonomics in Design: The Quarterly of Human Factors Applications 24, no. 1 (January 2016): 13–17. http://dx.doi.org/10.1177/1064804615611272.

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Анотація:

We studied the transparency of automated tools used during emergency operations in commercial aviation. Transparency (operationalized as increasing levels of explanation associated with an automated tool recommendation) was manipulated to evaluate how transparent interfaces influence pilot trust of an emergency landing planning aid. We conducted a low-fidelity study in which commercial pilots interacted with simulated recommendations from NASA’s Emergency Landing Planner (ELP) that varied in their associated levels of transparency. Results indicated that trust in the ELP was influenced by the level of transparency within the human–machine interface of the ELP. Design recommendations for automated systems are discussed.

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33

O'Hara, John, William Stubler, William Brown, Jerry Wachtel, and J. Persensky. "Comprehensive Guidance for the Evaluation of Human-Systems Interfaces in Complex Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 39, no. 18 (October 1995): 1160–64. http://dx.doi.org/10.1177/154193129503901803.

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Advanced human-system interface (HSI) technologies are being developed in the commercial nuclear power industry. These HSIs may have significant implications for plant safety in that they will affect the ways in which the operator interacts with and supervises an increasingly complex system. The U.S. Nuclear Regulatory Commission (NRC) reviews the HSI aspects of nuclear plants to ensure that operator performance and reliability are supported. The NRC is developing guidance to support its review of these advanced designs. The guidance consists of an evaluation methodology and an extensive set of human factors guidelines which are used in one aspect of the evaluation. The paper describes the guidance development of the evaluation methodology and the guidelines. While originally developed for nuclear plant evaluation, the methodology is applicable to other types of complex human-machine systems as well.

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34

Venturino, Michael. "Timesharing, Cognition, and Human Performance in Complex Information Systems." Proceedings of the Human Factors Society Annual Meeting 30, no. 9 (September 1986): 880–81. http://dx.doi.org/10.1177/154193128603000906.

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Анотація:

Applications of advanced technology to modern systems have resulted in the requirement for the human operator to process large volumes of information at rapid rates. Such systems may impose substantial attentional and timesharing requirements on the operator, often exceeding human information processing capabilities. Consequently, there is a critical need to investigate and understand the human information processing system in order to identify generalizable, empirically derived principles of human timesharing capabilities. Of particular interest are current theoretical approaches to human attention and information processing limitations that suggest ways to improve timesharing performance. Two of these approaches, automatic information processing theory and multiple resource theory are especially relevant to the timesharing problem.

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35

Bhavnani, Suresh K., and Bonnie E. John. "The Strategic Use of Complex Computer Systems." Human–Computer Interaction 15, no. 2-3 (September 2000): 107–37. http://dx.doi.org/10.1207/s15327051hci1523_3.

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36

Hansmann, Ralf, Harald A. Mieg, Helmut W. Crott, and Roland W. Scholz. "Shifting students’ to experts’ complex systems knowledge." International Journal of Sustainability in Higher Education 4, no. 2 (June 1, 2003): 151–68. http://dx.doi.org/10.1108/14676370310467168.

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Анотація:

This paper includes three analyses concerning: expert support in the selection of impact variables for scientific models relevant to environmental planning, the quality of students’ individual estimates of corresponding impacts before and after a group discussion, and the accuracy of artificially‐aggregated judgments of independent groups. Participants were students of environmental sciences at ETH Zurich. The first analysis revealed that during participation in an environmental case study, students’ individual estimates of impacts of variables which have been suggested by experts increased, as compared to the estimates of impacts of additional variables, which have been selected by the students. The remaining analyses consider group discussions on the strength of particular environmental impacts. The quality of the estimates was analyzed referring to expert estimates of the impacts.

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37

Wise, John A., V. David Hopkin, Richard S. Gibson, Paul Stager, and William F. Stubler. "Verification and Validation of Complex Systems: Human Factors Issues." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 37, no. 17 (October 1993): 1165–69. http://dx.doi.org/10.1177/154193129303701709.

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Анотація:

The issue of verifying and validating complex systems based on human factors criteria is becoming widely recognized. The need has become particularity significant with the development on the highly automated systems currently being developed for the new air traffic control systems around the world. This panel discusses several issues that have evolved from an international working meeting on the topic.

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38

Helle, Dag Eirik, Marcus Frølich, Tommy Langen, and Gerrit Muller. "Situational awareness and human factors when designing complex systems." INCOSE International Symposium 32, S2 (July 2022): 167–78. http://dx.doi.org/10.1002/iis2.12906.

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39

O'Hara, John M. "Evaluation of Complex Human-Machine Systems Using HFE Guidelines." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 38, no. 16 (October 1994): 1008–12. http://dx.doi.org/10.1177/154193129403801604.

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Анотація:

The purpose of this paper is to discuss the role of human factors engineering (HFE) guidelines in the evaluation of complex human-machine systems, such as advanced nuclear power plants. Advanced control rooms will utilize human-system interface (HSI) technologies that can have significant implications for plant safety in that they will affect the ways in which plant personnel interact with the system. In order to protect public health and safety, the U.S. Nuclear Regulatory Commission reviews the HFE aspects of plant HSIs to ensure that they are designed to HFE principles and that operator performance and reliability are appropriately supported. Evaluations using HFE guidelines are an important part of the overall review methodology. The Advanced HSI Design Review Guideline (DRG) was developed to provide these review criteria. This paper will address (1) the issues associated with guideline-based evaluations, (2) DRG development and validation, and (3) the DRG review procedures.

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40

Sullenberger, Sabrina Williamson. "Complex Systems and Human Behavior by Christopher G. Hudson." Journal of Teaching in Social Work 31, no. 4 (September 2011): 470–72. http://dx.doi.org/10.1080/08841233.2011.597695.

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41

Gregoriades, A., and A. G. Sutcliffe. "Automated assistance for human factors analysis in complex systems." Ergonomics 49, no. 12-13 (October 10, 2006): 1265–87. http://dx.doi.org/10.1080/00140130600612721.

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42

Lum, Heather C. "Book Review: Human Factors in Simple and Complex Systems." Ergonomics in Design: The Quarterly of Human Factors Applications 28, no. 4 (August 13, 2020): 28. http://dx.doi.org/10.1177/1064804620950698.

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43

Melchers, R. E. "Human intervention and the safety of complex structural systems." Civil Engineering and Environmental Systems 30, no. 3-4 (December 2013): 211–20. http://dx.doi.org/10.1080/10286608.2013.853750.

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44

Clarke, David M. "Human redundancy in complex, hazardous systems: A theoretical framework." Safety Science 43, no. 9 (November 2005): 655–77. http://dx.doi.org/10.1016/j.ssci.2005.05.003.

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45

Cacciabue, P. C. "Human factors impact on risk analysis of complex systems." Journal of Hazardous Materials 71, no. 1-3 (January 2000): 101–16. http://dx.doi.org/10.1016/s0304-3894(99)00074-6.

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Tolani, D. K., A. Ray, and J. F. Horn. "Integrated decision and control of human-engineered complex systems." International Journal of General Systems 35, no. 3 (June 2006): 275–94. http://dx.doi.org/10.1080/03081070600660962.

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Baron, S., D. Kruser B. Huey, and Jack Ring. "Qualitative Modeling of Human Performance in Complex, Dynamic Systems." INSIGHT 6, no. 2 (January 2004): 42–43. http://dx.doi.org/10.1002/inst.20046242.

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Crisp, Harry E., Ngocdung T. Hoang, and Richard Schmidt. "4 A Human Centered Design Environment for Complex Systems." INCOSE International Symposium 9, no. 1 (June 1999): 345–50. http://dx.doi.org/10.1002/j.2334-5837.1999.tb00181.x.

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O'Hara, John M. "Perspectives on Validating Complex Human-Machine System Performance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 46, no. 23 (September 2002): 1876–77. http://dx.doi.org/10.1177/154193120204602301.

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Анотація:

The performance of complex systems, such as power plants and commercial aircraft, is based on the integration of human, software, and hardware elements. They are designed to operate safely under normal and disturbance conditions. Ideally one would validate that safety and productivity goals can be achieved prior to actual operation. While some types of systems can be tested in actual operational environments, validation is especially difficult when safety or economic considerations preclude testing the types of disturbance conditions that the integrated system is designed to handle. Thus the conceptual and methodological challenges to validating such systems are significant and new approaches are emerging. The papers in this symposium will describe approaches taken to validation using examples from commercial nuclear power, civil aviation, military, and medical systems.

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Papusha, I. "Significance of Speech Communication in Human Needs Systems." Scientific Research and Development. Modern Communication Studies 9, no. 4 (August 3, 2020): 25–30. http://dx.doi.org/10.12737/2587-9103-2020-25-30.

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The article presents the description of a complex syntactic whole as the main unit of written communication in the aspect of the efficiency of its use in the texts of the book of functional styles. Special attention is paid to invariant matrices of complex syntactic whole, as the external forms of complex syntactic whole form stable multiple of the identity, and the analysis forms of complex syntactic whole allows to speak about given regularities of production / perception, which is impossible within the scope of a shape.

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