MACBETH Wins Two Awards

“MACBETH” (Mitigating Analyst cognitive Bias by Eliminating Task Heuristics) from the University of Oklahoma K20 Center’s Digital Game Based Learning took home 2 national awards at the 2013 Serious Games Showcase & Challenge December 4th in Orlando, Florida.

The awards were for Best Business Developed Serious Game and First Place in the Special Interest Category.

“Most of the companies that participate in SGSC service the US Military and are very sophisticated,” said DGBL Producer Javier Elizondo. “Our hope and expectation was to win just Special Interest that is awarded by the Department of Defense, but we were also honored with the Business Category Award.”


University of Oklahoma K20 DGBL Producer Javier Elizondo and IARPA Principal Investigator Dr. Norah Dunbar accept the award for MACBETH from:  (L-R) Roger Caldwell (USAF) Jennifer Macnamara (Breakaway), Admiral Robb (NTSA), Peter Smith (ADL),  Adam Kingsborough (Camber Corp), Colonel Eide, (Air Force Materiel Command), Frank DiGiovanni (OSD)


The game simulates a crime investigation in which the player is an intelligence analyst guiding agents collecting information to stop a terrorist attack. Ultimately, the player must identify the information not affected by anchoring bias, projection bias, or representative bias.

“This was our first time to attend, and the review committee was very vocally supportive. Our demo booth got a lot of attention as a result – it was a very rewarding experience,” Elizondo said.

The Serious Games Showcase & Challenge is held annually as part of the Interservice/Industry Training, Simulation and Education Conference. SGSC 2013 saw 17 games exhibited on the floor during the 4-day event.

The goal of Serious Games Showcase & Challenge is to identify innovative game-based technologies and solutions that improve training across all segments for individuals, groups and systems. SGS&C opens the door for game developers to put their work in front of some of the best gaming and simulation companies in the world.