Combining human and machine processes (CHAMP)

Moises Sudit; David Sudit; Michael Hirsch

doi:10.1117/12.2180272

27 May 2015 Combining human and machine processes (CHAMP)

Moises Sudit, David Sudit, Michael Hirsch

Proceedings Volume 9499, Next-Generation Analyst III; 94990M (2015) https://doi.org/10.1117/12.2180272
Event: SPIE Sensing Technology + Applications, 2015, Baltimore, MD, United States

Abstract

Machine Reasoning and Intelligence is usually done in a vacuum, without consultation of the ultimate decision-maker. The late consideration of the human cognitive process causes some major problems in the use of automated systems to provide reliable and actionable information that users can trust and depend to make the best Course-of-Action (COA). On the other hand, if automated systems are created exclusively based on human cognition, then there is a danger of developing systems that don’t push the barrier of technology and are mainly done for the comfort level of selected subject matter experts (SMEs). Our approach to combining human and machine processes (CHAMP) is based on the notion of developing optimal strategies for where, when, how, and which human intelligence should be injected within a machine reasoning and intelligence process. This combination is based on the criteria of improving the quality of the output of the automated process while maintaining the required computational efficiency for a COA to be actuated in timely fashion. This research addresses the following problem areas:

Providing consistency within a mission:

Supporting the incorporation of data that is uncertain, incomplete, imprecise and contradictory (UIIC):

Developing systems that include humans in the loop whose performance can be analyzed and understood to provide feedback to the sensors.

Citation Download Citation

Moises Sudit, David Sudit, and Michael Hirsch "Combining human and machine processes (CHAMP)", Proc. SPIE 9499, Next-Generation Analyst III, 94990M (27 May 2015); https://doi.org/10.1117/12.2180272

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