skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Job Analysis and Cognitive Task Analysis in National Security Environments.

Abstract

Abstract not provided.

Authors:
;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1390731
Report Number(s):
SAND2016-8806C
Journal ID: ISSN 0302--9743; 647225
DOE Contract Number:
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Journal Volume: 9743; Conference: Proposed for presentation at the Human-Computer Interaction International Conference held July 20-22, 2016 in Toronto, Canada.
Country of Publication:
United States
Language:
English

Citation Formats

Kittinger, Robert Scott, and Kittinger, Liza Isabel. Job Analysis and Cognitive Task Analysis in National Security Environments.. United States: N. p., 2016. Web. doi:10.1007/978-3-319-39955-3_32.
Kittinger, Robert Scott, & Kittinger, Liza Isabel. Job Analysis and Cognitive Task Analysis in National Security Environments.. United States. doi:10.1007/978-3-319-39955-3_32.
Kittinger, Robert Scott, and Kittinger, Liza Isabel. 2016. "Job Analysis and Cognitive Task Analysis in National Security Environments.". United States. doi:10.1007/978-3-319-39955-3_32. https://www.osti.gov/servlets/purl/1390731.
@article{osti_1390731,
title = {Job Analysis and Cognitive Task Analysis in National Security Environments.},
author = {Kittinger, Robert Scott and Kittinger, Liza Isabel},
abstractNote = {Abstract not provided.},
doi = {10.1007/978-3-319-39955-3_32},
journal = {},
number = ,
volume = 9743,
place = {United States},
year = 2016,
month = 9
}

Conference:
Other availability
Please see Document Availability for additional information on obtaining the full-text document. Library patrons may search WorldCat to identify libraries that hold this conference proceeding.

Save / Share:
  • In complex simulation systems where humans interact with computer-generated agents, information display and the interplay of virtual agents have become dominant media and modalities of interface design. This design strategy is reflected in augmented reality (AR), an environment where humans interact with computer-generated agents in real-time. AR systems can generate large amount of information, multiple solutions in less time, and perform far better in time-constrained problem solving. The capabilities of AR have been leveraged to augment cognition in human information processing. In this sort of augmented cognition (AC) work system, while technology has become the main source for information acquisitionmore » from the environment, the human sensory and memory capacities have failed to cope with the magnitude and scale of information they encounter. This situation generates opportunity for excessive cognitive workloads, a major factor in degraded human performance. From the human effectiveness point of view, research is needed to develop, model, and validate simulation tools that can measure the effectiveness of an AR technology used to support the amplification of human cognition. These tools will allow us to predict human performance for tasks executed under an AC tool construct. This paper presents an exploration of ergonomics issues relevant to AR and AC systems design. Additionally, proposed research to investigate those ergonomic issues is discussed.« less
  • Intelligence analysis is a cognitively complex task that is the subject of considerable research aimed at developing methods and tools to aid the analysis process. To support such research, it is necessary to characterize the difficulty or complexity of intelligence analysis tasks in order to facilitate assessments of the impact or effectiveness of tools that are being considered for deployment. A number of informal accounts of ''What makes intelligence analysis hard'' are available, but there has been no attempt to establish a more rigorous characterization with well-defined difficulty factors or dimensions. This paper takes an initial step in this directionmore » by describing a set of proposed difficulty metrics based on cognitive principles.« less
  • The goal of the project was to create a set of next generation cyber situational awareness capabilities with applications to other domains in the long term. The goal is to improve the decision making process such that decision makers can choose better actions. To this end, we put extensive effort into ensuring we had feedback from network analysts and managers and understood what their needs truly were. Consequently, this is the focus of this portion of the research. This paper discusses the methodology we followed to acquire this feedback from the analysts, namely a cognitive task analysis. Additionally, this papermore » provides the details we acquired from the analysts. This essentially provides details on their processes, goals, concerns, the data and meta-data they analyze, etc. A final result we describe is the generation of a task-flow diagram.« less
  • This is an introduction to cognitive task analysis as it may be used in Naval Air Systems Command (NAVAIR) training development. The focus of a cognitive task analysis is human knowledge, and its methods of analysis are those developed by cognitive psychologists. This paper explains the role that cognitive task analysis and presents the findings from a preliminary cognitive task analysis of airborne weapons operators. Cognitive task analysis is a collection of powerful techniques that are quantitative, computational, and rigorous. The techniques are currently not in wide use in the training community, so examples of this methodology are presented alongmore » with the results. 6 refs., 2 figs., 4 tabs.« less
  • 3D manikins are often used in visualizations to model human activity in complex settings. Manikins assist in developing understanding of human actions, movements and routines in a variety of different environments representing new conceptual designs. One such environment is a nuclear power plant control room, here they have the potential to be used to simulate more precise ergonomic assessments of human work stations. Next generation control rooms will pose numerous challenges for system designers. The manikin modeling approach by itself, however, may be insufficient for dealing with the desired technical advancements and challenges of next generation automated systems. Uncertainty regardingmore » effective staffing levels; and the potential for negative human performance consequences in the presence of advanced automated systems (e.g., reduced vigilance, poor situation awareness, mistrust or blind faith in automation, higher information load and increased complexity) call for further research. Baseline assessment of novel control room equipment(s) and configurations needs to be conducted. These design uncertainties can be reduced through complementary analysis that merges ergonomic manikin models with models of higher cognitive functions, such as attention, memory, decision-making, and problem-solving. This paper will discuss recent advancements in merging a theoretical-driven cognitive modeling framework within a 3D visualization modeling tool to evaluate of next generation control room human factors and ergonomic assessment. Though this discussion primary focuses on control room design, the application for such a merger between 3D visualization and cognitive modeling can be extended to various areas of focus such as training and scenario planning.« less