TY - GEN
T1 - The impact of meta-information on decision-making in intelligence operations
AU - Pfautz, Jonathan
AU - Fouse, Adam
AU - Fichtl, Ted
AU - Roth, Emilie
AU - Bisantz, Ann
AU - Madden, Samuel
PY - 2005
Y1 - 2005
N2 - Decision-making in complex, dynamic, high-risk environments is clearly challenging. Part of this challenge is due to the presence of qualifiers of information, or meta-information (e.g., staleness, uncertainty, source), that alter a person's information processing, situational awareness, and decision-making. We investigated the influence of meta-information on decision-making in a Military Intelligence Operations (10) environment using Cognitive Task Analysis (CTA) techniques. We performed a CTA on IO tasks surrounding the use of smart sensor webs, a relatively new technology that can be used for a variety of IO purposes. Our analysis addressed information management tasks and tactical decision-making tasks using sensor webs. We discovered that a variety of types of meta-information significantly impacted decision-making, and that the influence of meta-information was both context- and task- sensitive. In this paper, we present the results of the CTA and discuss the implications for the development of decision-aiding systems, including the design of constituent displays, interfaces, and automated systems.
AB - Decision-making in complex, dynamic, high-risk environments is clearly challenging. Part of this challenge is due to the presence of qualifiers of information, or meta-information (e.g., staleness, uncertainty, source), that alter a person's information processing, situational awareness, and decision-making. We investigated the influence of meta-information on decision-making in a Military Intelligence Operations (10) environment using Cognitive Task Analysis (CTA) techniques. We performed a CTA on IO tasks surrounding the use of smart sensor webs, a relatively new technology that can be used for a variety of IO purposes. Our analysis addressed information management tasks and tactical decision-making tasks using sensor webs. We discovered that a variety of types of meta-information significantly impacted decision-making, and that the influence of meta-information was both context- and task- sensitive. In this paper, we present the results of the CTA and discuss the implications for the development of decision-aiding systems, including the design of constituent displays, interfaces, and automated systems.
UR - https://www.scopus.com/pages/publications/44349192147
M3 - Conference contribution
AN - SCOPUS:44349192147
SN - 094528926X
SN - 9780945289265
T3 - Proceedings of the Human Factors and Ergonomics Society
SP - 214
EP - 218
BT - Proceedings of the Human Factors and Ergonomics Society 49th Annual Meeting, HFES 2005
T2 - 49th Annual Meeting of the Human Factors and Ergonomics Society, HFES 2005
Y2 - 26 September 2005 through 30 September 2005
ER -