HUMAN FACTORS AND ORGANIZATIONAL DESIGN

Abstract

The overarching objective of this activity is the achievement of FORCEnet and Sea Power 21 goals by developing human factors principles and cognitive models for human centric design, decision support systems for collaborative decision making, and adaptive command and control structures. The CNO's new Maritime Strategy and the Commander Fleet Forces Command complementary plan to revise organization of Maritime Operations Centers (MOC) place high priority on the aforementioned FORCEnet and Sea Power 21 goals. Specific objectives focus on improving small team, platform, task force, and battle group operations by developing advanced human factors technologies for incorporation into operational systems. The goals and payoffs are to enhance human performance effectiveness; improve the timeliness and quality of decision making; develop strategies to mitigate high workload and ambiguity; reduce manning; improve situational awareness and speed of command through a deeper understanding of human capabilities and limitations; and improvement of team decision making in ad-hoc, complex problem solving scenarios. The current specific objectives are: a) Human Computer Interaction/Visualization: Develop an understanding of the limitations of human perceptual and attentional systems in relation to maximizing user performance when interacting with complex Naval displays. A combination of computational cognitive modeling and psychological studies are employed to determine the capacity limitations on human performance that will undoubtedly have impact in reduced manning requirements, including information-rich weapons platforms. Develop technology for improving human interaction with autonomous systems and for improving virtual reality systems for training purposes. b) Command Decision Making (CDM): This is a new sub-project that consolidates the previous Collaboration and Knowledge Interoperability (CKI) and Organizational Design and Decision Support Systems sub-projects. The CDM sub-project is focused at the development of dynamic decision support systems that recognize and are responsive to changing mission and task demands, and adapt to present information appropriately. This focus is explicitly intended to deliver decision support that will be more timely and responsive to rapidly evolving operational needs. Current thrusts within the sub-project are to: 1) Conduct research on the application of theory to exploit relevant information for effective decision making; 2) Develop models that are operationally context and task sensitive; 3) Study and apply research for the effective management of highly complex & time critical decision making; 4) Develop and demonstrate decision support tools that address the timely management of risk and uncertainty. c) Social Network Analysis: Develop computational models and algorithms for the analysis of terrorist threats and counter-measures and strategies against terrorist threats. Develop new computational algorithms for the discovery of missing and hidden nodes in complex graphs applicable to the problem of understanding hidden information in terror networks. Develop new approaches to calculation of network completeness. Develop computational approaches to the study of factionalism in social movements using Islamist movements as exemplar data collectivities. The following are non-inclusive examples of accomplishments and plans for projects funded in this activity. This FY 2014 activity funding moves from Program Element 0602235N: Common Picture Applied Research efforts associated with the Human Factors activity and is being transferring into this PE0602236N: Warfighter Sustainment Applied Research to provide an easily navigable overview of all Human Factors investments in a single location.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2015
Source ID
fa3dddd7424d206e19cbe055e6140986

Tags

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Autonomy - UAVs
  • Fully Networked C3
  • Fully Networked C3 - Command and Control

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