Semantic Language and Tools for Reporting Human Factors Incidents

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX09CE37P
Agency Tracking Number: 084756
Amount: $99,759.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: X12.01
Solicitation Number: N/A
Small Business Information
8620 N. New Braunfels, Suite 603, San Antonio, TX, 78217-3586
DUNS: 193786014
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Debra Schreckenghost
 Principal Investigator
 (832) 415-0109
 schreck@traclabs.com
Business Contact
 Jim Anderson
Title: CEO
Phone: (832) 415-4407
Email: janderson@traclabs.com
Research Institution
N/A
Abstract
Incidents related to impaired human performance in space operations can be caused by environmental conditions, situational challenges, and operational deficiencies. Detecting, reporting, and correlating related incidents are key to preventing future incidents. NASA has made significant progress in standardizing the reporting of aviation incidents by developing electronic forms for reporting incidents. While such forms improve report consistency, incident data are not represented in a way that enables computer-based reasoning across reports (e.g., automatic linking of related reports.) TRACLabs proposes to develop a human factors incident-reporting tool for gathering incident data, documenting data in incident reports, and archiving incident data. We will define an XML-based semantic language for incident reporting to capture information about human factors incidents, including multi-modal data. We will develop software for authoring incident reports using this language, archiving these reports, and searching the archives using incident semantics. This project is innovative in defining an incident reporting language that uses an ontology-based vocabulary. This enables improved tools for gathering incident data, and for authoring and archiving incident reports. The semantic indexing provided by the use of incident reporting language permits more sophisticated search of archives, including automatic identification of prior incidents potentially relevant to the current incident.

* Information listed above is at the time of submission. *

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