Presentation Title
Learning in a Decision Making Process Through Serious Games
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.
Primary Faculty Mentor Name
ncheney
Faculty/Staff Collaborators
Nick Cheney
Status
Graduate
Student College
College of Engineering and Mathematical Sciences
Program/Major
Complex Systems
Primary Research Category
Engineering & Physical Sciences
Learning in a Decision Making Process Through Serious Games
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.