Implementing the Endeavor Space Dimensions : Towards an understanding of perceived complexity in C2 operations

The challenge of operating and managing complex and dynamic environments, known as complex endeavors, has become a central issue in the C2 research community. NATO research groups have studied how to combat the negative effects of endeavor complexity on performance. Essential to these efforts is the...

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Main Authors: Bjurling, Oscar, Weilandt, Jacob
Format: Others
Language:English
Published: Linköpings universitet, Institutionen för datavetenskap 2019
Subjects:
C2
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158084
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spelling ndltd-UPSALLA1-oai-DiVA.org-liu-1580842019-07-03T10:06:22ZImplementing the Endeavor Space Dimensions : Towards an understanding of perceived complexity in C2 operationsengBjurling, OscarWeilandt, JacobLinköpings universitet, Institutionen för datavetenskapLinköpings universitet, Institutionen för datavetenskap2019Command and ControlC2C2 AgilityEndeavor SpaceComplexityApplied PsychologyTillämpad psykologiThe challenge of operating and managing complex and dynamic environments, known as complex endeavors, has become a central issue in the C2 research community. NATO research groups have studied how to combat the negative effects of endeavor complexity on performance. Essential to these efforts is the study of C2 Agility, which is the ability of an entity to cope with change and employ different C2 approaches based on the requirements imposed by—and changes in—the current operational environment. An important aspect in accomplishing this research goal is to study how operational environments are constituted, as this would enable research into how the effectiveness of different C2 approaches is affected by different endeavors. The Endeavor Space model, which represents endeavor complexity in three dimensions, was developed for this purpose. In an effort to continue research on the Endeavor Space, the current study set out to implement the dimensions in a C2 research platform called ELICIT. Three ELICIT scenarios were created to represent different regions of the Endeavor Space. Additionally, the study designed, developed, and tested a prototype self-assessment instrument—the ESSAI—to capture how the Endeavor Space dimensions—Tractability, Dynamics, and Dependencies—were experienced by operators. Eight teams completed the scenarios and rated their complexity using the ESSAI. No significant differences in perceived complexity could be found between the scenarios. However, all Endeavor Space dimensions indicated correlational relationships with perceived difficulty, and most of them correlated with ELICIT performance. This is indicative of underlying patterns that were not thoroughly revealed in the current study. Implications and improvements for future research are discussed. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158084application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Command and Control
C2
C2 Agility
Endeavor Space
Complexity
Applied Psychology
Tillämpad psykologi
spellingShingle Command and Control
C2
C2 Agility
Endeavor Space
Complexity
Applied Psychology
Tillämpad psykologi
Bjurling, Oscar
Weilandt, Jacob
Implementing the Endeavor Space Dimensions : Towards an understanding of perceived complexity in C2 operations
description The challenge of operating and managing complex and dynamic environments, known as complex endeavors, has become a central issue in the C2 research community. NATO research groups have studied how to combat the negative effects of endeavor complexity on performance. Essential to these efforts is the study of C2 Agility, which is the ability of an entity to cope with change and employ different C2 approaches based on the requirements imposed by—and changes in—the current operational environment. An important aspect in accomplishing this research goal is to study how operational environments are constituted, as this would enable research into how the effectiveness of different C2 approaches is affected by different endeavors. The Endeavor Space model, which represents endeavor complexity in three dimensions, was developed for this purpose. In an effort to continue research on the Endeavor Space, the current study set out to implement the dimensions in a C2 research platform called ELICIT. Three ELICIT scenarios were created to represent different regions of the Endeavor Space. Additionally, the study designed, developed, and tested a prototype self-assessment instrument—the ESSAI—to capture how the Endeavor Space dimensions—Tractability, Dynamics, and Dependencies—were experienced by operators. Eight teams completed the scenarios and rated their complexity using the ESSAI. No significant differences in perceived complexity could be found between the scenarios. However, all Endeavor Space dimensions indicated correlational relationships with perceived difficulty, and most of them correlated with ELICIT performance. This is indicative of underlying patterns that were not thoroughly revealed in the current study. Implications and improvements for future research are discussed.
author Bjurling, Oscar
Weilandt, Jacob
author_facet Bjurling, Oscar
Weilandt, Jacob
author_sort Bjurling, Oscar
title Implementing the Endeavor Space Dimensions : Towards an understanding of perceived complexity in C2 operations
title_short Implementing the Endeavor Space Dimensions : Towards an understanding of perceived complexity in C2 operations
title_full Implementing the Endeavor Space Dimensions : Towards an understanding of perceived complexity in C2 operations
title_fullStr Implementing the Endeavor Space Dimensions : Towards an understanding of perceived complexity in C2 operations
title_full_unstemmed Implementing the Endeavor Space Dimensions : Towards an understanding of perceived complexity in C2 operations
title_sort implementing the endeavor space dimensions : towards an understanding of perceived complexity in c2 operations
publisher Linköpings universitet, Institutionen för datavetenskap
publishDate 2019
url http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-158084
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