Influence of Task and Situational Variables on the Applicability of Vigilance Data to Physical Security

1980 ◽  
Vol 24 (1) ◽  
pp. 606-607
Author(s):  
Ben B. Morgan

Vigilance is one of the most thoroughly researched areas of human performance. Volumes have been written concerning vigilance performance in both laboratory and real-world settings, and there is a clear trend in the literature toward an increasing emphasis on the study of operational task behavior under environmental conditions that are common to real world jobs. Although a great deal of this research has been designed to test various aspects of the many theories of vigilance, there is a general belief that vigilance research is relevant and applicable to the performances required in real-world monitoring and inspection tasks. Indeed, many of the reported studies are justified on the basis of their apparent relevance to vigilance requirements in modern man-machine systems, industrial inspection tasks, and military jobs. There is a growing body of literature, however, which suggests that many vigilance studies are of limited applicability to operational task performance. For example, Kibler (1965) has argued that technological changes have altered job performance requirements to the extent that laboratory vigilance studies are no longer applicable to real-world jobs. Many others have simply been unable to reproduce the typical “vigilance decrement” in field situations. This has led Teichner (1974) to conclude that “the decremental function itself is more presumed than established.”

1975 ◽  
Vol 88 (4) ◽  
pp. 703
Author(s):  
James K. Arima ◽  
Thomas B. Sheridan ◽  
William R. Ferrell

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 100
Author(s):  
Daniele Apiletti ◽  
Eliana Pastor

Coffee is among the most popular beverages in many cities all over the world, being both at the core of the busiest shops and a long-standing tradition of recreational and social value for many people. Among the many coffee variants, espresso attracts the interest of different stakeholders: from citizens consuming espresso around the city, to local business activities, coffee-machine vendors and international coffee industries. The quality of espresso is one of the most discussed and investigated issues. So far, it has been addressed by means of human experts, electronic noses, and chemical approaches. The current work, instead, proposes a data-driven approach exploiting association rule mining. We analyze a real-world dataset of espresso brewing by professional coffee-making machines, and extract all correlations among external quality-influencing variables and actual metrics determining the quality of the espresso. Thanks to the application of association rule mining, a powerful data-driven exhaustive and explainable approach, results are expressed in the form of human-readable rules combining the variables of interest, such as the grinder settings, the extraction time, and the dose amount. Novel insights from real-world coffee extractions collected on the field are presented, together with a data-driven approach, able to uncover insights into the espresso quality and its impact on both the life of consumers and the choices of coffee-making industries.


2019 ◽  
Vol 13 (3) ◽  
pp. 171-195 ◽  
Author(s):  
Karina A. Roundtree ◽  
Michael A. Goodrich ◽  
Julie A. Adams

Swarm robotic systems are gaining in interest with the prospect of their use for various applications, including monitoring, tracking, infrastructure support, and protection. Prior human-swarm system research investigated transparency for these systems, but assumed perfect communication scenarios. Real-world human-swarm systems will not have perfect communication due to human processing limitations caused by a large number of individual entities, emergent behavior due to varying environments, and bandwidth issues. Factors that affect transparency or are influenced by transparency were identified from various human–machine system domains; however, understanding the relationship between factors can help designers identify what criteria can be implemented to achieve transparency for swarms. Challenges that may arise based on transparency criteria from human–machine systems are examined to identify improvements for spatial swarm systems.


1975 ◽  
Vol 97 (1) ◽  
pp. 105-105 ◽  
Author(s):  
Thomas B. Sheridan ◽  
William R. Ferrell ◽  
Masayoshi Tomizuka

Author(s):  
Alan D. Swain

Quantification of human performance in man–machine systems is receiving more and more attention in human factors work. Obstacles to such quantification include: (1) complexity and subjectivity of available quantification methods, (2) grossness of assumptions behind these methods, and (3) resistance of some psychologists. Research is needed (1) to develop an improved human performance data bank, (2) to develop improved models and methods, and (3) to validate quantification data, models and methods. Some research is being done in these areas.


Author(s):  
Margaret A. Boden

Suppose that future AGI systems equalled human performance. Would they have real intelligence, real under-standing, real creativity? Would they have selves, moral standing, free choice? Would they be conscious? And without consciousness, could they have any of those other properties? ‘But is it intelligence, really?’ considers these philosophical questions, suggesting some answers that are more reasonable than others. It looks at concepts such as the Turing Test; the many problems of consciousness; the studies of AI-inspired philosophers Paul Churchland, Daniel Dennett, and Aaron Sloman; virtual machines and the mind–body problem, and moral responsibility. It concludes that no one knows, for sure, whether an AGI could really be intelligent.


Author(s):  
William B. Knowles

The many large-scale aerospace simulation facilities now available offer considerable potential for the generation of data on human performance that can be used in systems engineering design efforts. To realize this potential requires an understanding of the methodological limitations imposed by the basic characteristics of human performance, the application of efficient organizational techniques, and the development of more efficient techniques of experiment planning, design, and execution.


1998 ◽  
Vol 20 (4) ◽  
pp. 51-52
Author(s):  
Robert Winthrop

The art of persuasion is integral to politics and policy. As an experienced political pundit once said, "It is not enough to know what we ought to say; we must also say it as we ought." (The statement is Aristotle's, from his Rhetoric III, 1.) One of the many reasons that we anthropologists are so often absent without leave in policy discussions is that we are not trained to communicate our knowledge clearly and effectively to non-anthropologists. If there is any stylistic rule taught in anthropology graduate programs, it is to write so as to be completely unintelligible to outsiders. (Perhaps this is appropriate, since tenure decisions are made on the same basis.)


2012 ◽  
Vol 2290 (1) ◽  
pp. 154-160 ◽  
Author(s):  
Heather Dylla ◽  
Marwa M. Hassan ◽  
David Osborn

Numerous laboratory studies have demonstrated the ability of nano and ultrafine titanium dioxide (TiO2) photocatalytic pavements to trap and degrade nitrogen oxides in the air when irradiated with ultraviolet light. However, to understand better how photocatalytic pavements will perform under real-world conditions, field studies are necessary. Quantification of the reduction of nitrogen oxides (NOx) in field studies is difficult and challenging because of the many environmental and operating variables. The objective of this paper is to identify evidence of photocatalytic NOx reduction and to determine the environmental and operating factors that affect efficiencies under real-world conditions. A quarter-mile concrete roadway was sprayed with a photocatalytic coating in Baton Rouge, Louisiana. This section was the first field installation of TiO2 photocatalytic pavement in the United States. NOx concentrations were monitored for both the coated and uncoated sections simultaneously for 3 weeks during the spring season to measure photocatalytic degradation directly. Further, nitrates were collected from the coated and uncoated areas for evidence of photocatalytic NOx reduction. Results from both approaches show evidence of photocatalytic NOx reduction. Environmental factors with significant impact on photocatalytic efficiency include relative humidity, solar intensity, and wind speed and direction.


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