Department
Human Factors and Behavioral Neurobiology
Document Type
Article
Publication/Presentation Date
2015
Abstract/Description
Humans are remarkably complex and unpredictable; however, while predicting human behavior can be problematic, there are methods such as modeling and simulation that can be used to predict probable futures of human decisions. The present study analyzes the possibility of replacing human subjects with data resulting from pure models. Decisions made by college students in a multi-level mystery-solving game under 3 different gaming conditions are compared with the data collected from a predictive sequential Markov-Decision Process model. In addition, differences in participants’ data influenced by the three different conditions (additive, subtractive, control) were analyzed. The test results strongly suggest that the data gathered from the model can possibly represent the ones gathered from the human participants in a practical experiment.
Publication Title
Proceedings of the 2015 Industrial and Systems Engineering Research Conference
Publisher
Institute of Industrial and Systems Engineers
Sponsorship/Conference/Institution
Proceedings of the 2015 Industrial and Systems Engineering Research Conference
Location
Nashville, TN, USA
Number of Pages
7
Scholarly Commons Citation
Frederick, C. M., Fitzgerald, M., Liu, D., Ortiz, Y., Via, C., Doherty, S., & Kring, J. P. (2015). Modeling Human Gaming Playing Behavior and Reward/Penalty Mechanism using Discrete Event Simulation (DES). Proceedings of the 2015 Industrial and Systems Engineering Research Conference, (). Retrieved from https://commons.erau.edu/publication/1731
