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Chris Hazard, CEO/Founder, Hazardous Software
This presentation was given at the 2016 Serious Play Conference, hosted by the UNC Kenan-Flagler Business School.
Information theory offers a mathematical measure of expected surprisal and a measure of ambiguity. When coupled with decision science, psychology, and a little game theory, human biases and trust can be formalized, measured and, ultimately, manipulated. This talk will provide an overview of how such techniques can be employed in the mechanics of serious games to create more believable experiences, more challenging and effective AI, and to help players understand their own biases and weaknesses in their own disciplines.
Audiences will become familiar with types of biases, limitations of human abilities to asses risk probability, and how nuanced real-world interactions can be recreated in serious game environments. This is useful for those interested in employing serious games for training and evaluation, as well as for practitioners to implement in their own games.