Decision makingGame to improve defense, homeland security decision making

Published 18 November 2011

Raytheon BBN Technologies has been awarded a $10.5 million multi-year contract to develop serious games that result in better decision-making by teaching participants to recognize and mitigate the effects of their own biases when analyzing information used to make decisions

The Intelligence Advanced Research Projects Activity (IARPA), through an Air Force Research Laboratory (AFRL) contract, has awarded Raytheon BBN Technologies a $10.5 million multi-year contract under the Sirius program. BBN is a wholly owned subsidiary of Raytheon Company. The goal of the Sirius program is to develop serious games that result in better decision-making by teaching participants to recognize and mitigate the effects of their own biases when analyzing information used to make decisions. 

Under the contract, Raytheon BBN will develop game-based training methods and training systems to improve such decision-making by focusing on reducing biases. The team — which includes game designers, cognitive psychologists, and experts in intelligence analysis and in measuring game-player engagement — will design a relevant and engaging game that is based on an international detective theme, blending best research and practices in bias-mitigation with best practices in game-based teaching. The training system will focus on six specific types of bias that frequently affect decision-making adversely:

  • Confirmation bias — the tendency to search for or interpret information in a way that confirms preconceptions.
  • Blind spot bias — being less aware of one’s own cognitive biases than those of others.
  • Fundamental attribution error — over-emphasizing personality-based or character-based effects on behavior.
  • Anchoring bias — relying too heavily on one trait or one piece of information.
  • Representative bias — judging the likelihood of a hypothesis by its resemblance to immediately available data.
  • Projection bias — assuming others share one’s current feelings, values or thinking.

Alice Leung, Ph.D. and Sirius co-principal investigator at Raytheon BBN, said, “This program is a perfect opportunity for us to apply our expertise in creating effective and engaging training to a very challenging problem. The ability to recognize biases and reduce their effects on human information analysis could lead to better decision-making in a wide variety of critical areas.”   

Additionally,” said Talib Hussain, Ph.D. and Sirius co-principal investigator at Raytheon BBN, “the team will advance the science of game-based training by examining how various game design decisions impact training effectiveness. This forward-looking aspect of the Sirius program is very important because it will help us identify a more reliable set of design principles to build games that are effective for training a broad range of skills in the future.”