iSee

Period of Performance: 10/22/2012 - 08/23/2013

$80K

Phase 1 SBIR

Recipient Firm

Knowledge Based Systems, Inc.
1408 University Drive East Array
College Station, TX 77840
Principal Investigator

Abstract

iSee (IC the augmentation of intuitive decision making using Computation) is a framework that will enable accelerated, accurate intuitive Decision Making (iDM). Knowledge Based Systems, Inc. (KBSI) will model iDM based on the functioning of our brains to improve decision-making performance by enhancing the ability to see through the information clutter effectively. The goal is to blend rapid data processing capabilities of computers with intuitive decision making skills of humans to improve human information throughput and decision making laid out in this research topic. The KBSI iSee framework proposes to enhance intuitive decision making by leveraging the following technologies: Monitoring human cognitive state using non-intrusive sensors Processing information into a form that can be digested by the user under the existing conditions of stress Presenting individually customizable visualizations overlaid on the real world, and Alerting the user with additional subtle sensory feedback such as audio, vibration and olfactory The key feature is the use of ontology and Bayesian networks to capture mental models that can be used to process higher level tasks such as sensemaking and intelligent explanations that have not been addressed in detail in AugCog systems.