Advanced Visualizations and User Interfaces for Cyber Situational Awareness (ADVICE)

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$500,000.00
Award Year:
2013
Program:
SBIR
Phase:
Phase II
Contract:
FA8650-13-C-6472
Award Id:
n/a
Agency Tracking Number:
O2-1405
Solicitation Year:
2011
Solicitation Topic Code:
OSD11-IA4
Solicitation Number:
2011.3
Small Business Information
1408 University Drive East, College Station, TX, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
555403328
Principal Investigator:
RONALDFERNANDES
SENIOR RESEARCH SCIENTIST
(979) 260-5274
RFERNANDES@KBSI.COM
Business Contact:
DONIELLEMAYER
BUSINESS OPERATIONS MGR.
(979) 260-5274
DMAYER@KBSI.COM
Research Institute:
Stub




Abstract
KBSI proposes to develop an innovative experimental framework for an Advanced Visualizations and User Interfaces for Cyber Situational Awareness (ADVICE). The ADVICE framework is a suite of tools in an extensible framework to maximize the situational awareness (SA), individual and team performance, and two way communication between SA and human performance of the cyber system and other target managed environments. The application domains include manned and remotely-piloted systems, battlespace SA, intelligence preparation of battlespace, ISR analysis, air and space operations centers and air traffic control, and emergency response. Building off the Phase I effort that incorporated a display-of-displays, and control-of-controls approach for trust and functionality hierarchy representation, the Phase II effort will harden and extend the approach and results. More specifically, ADVICE Phase II will take a synthesized approach to integrating UI design methodology, trust in automation and the Sensor-Assess-Augment human performance research paradigm to maximize SA, human performance and interaction between these two aspects. ADVICE will contain interface abstractions that allow for new interaction techniques such as Tangible User Interfaces and Tactile Output Interfaces. The system and UI will be evaluated based on physiological, neurological and behavior indices, trust and trustworthiness metrics, and usability evaluation for the related domains.

* information listed above is at the time of submission.

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