Learning in a Decision Making Process Through Serious Games
Langle-Chimal, Ollin Demian
Langle-Chimal, Ollin Demian
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Abstract
In recent years we’ve faced major epidemic outbreaks with livestock origin which has made us value the importance of the adoption of prophylactic measures and thus it is imperative to know the best way to present information to decision makers in order to propitiate them. Experimentation in real farms is costly and overall unethical as lives are involved, for this reason in this study we present a gamification strategy in order to detect different behavioral patterns and the most effective information treatments to detect risk attitudes towards a disease spreading in a farm facility network which can lead to targeted efforts in decision making processes. In this study we found an automated way to detect decision making patterns across over 1,000 players which can lead us to understand drivers that make them change strategies and thus concentrate efforts in a policy making system.
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Date
2020-01-01
Student Status
Graduate
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Poster Presentation
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Program/Major
Complex Systems
College/School
College of Engineering and Mathematical Sciences
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Engineering & Physical Sciences