Introducing Gamettes: A Playful Approach for Capturing Decision-Making for Informing Behavioral Models

Mohaddesi, O., Sun, Y., Azghandi, R., Doroudi, R., Snodgrass, S., Ergun, O., Griffin, J., Kaeli, D., Marsella, S. and Harteveld, C. (2020) Introducing Gamettes: A Playful Approach for Capturing Decision-Making for Informing Behavioral Models. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20), Honolulu, HI, USA, 25-30 April 2020, ISBN 9781450367080 (doi: 10.1145/3313831.3376571)

Full text not currently available from Enlighten.

Abstract

Agent-based simulations are widely used for modeling human behavior in various contexts. However, such simulations may oversimplify human decision-making. We propose the use of Gamettes to extract rich data on human decision-making and help in improving the human behavioral aspects of models underlying agent-based simulations. We show how Gamettes are designed and provide empirical validation for using Gamettes in an experimental supply chain setting to study human decision-making. Our results show that Gamettes are successful in capturing the expected behaviors and patterns in supply chain decisions, and, thus, we find evidence for the capability of Gamettes to inform behavioral models.

Item Type:Conference Proceedings
Additional Information:This research was developed with funding from the National Science Foundation (NSF: 1638302).
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Marsella, Professor Stacy
Authors: Mohaddesi, O., Sun, Y., Azghandi, R., Doroudi, R., Snodgrass, S., Ergun, O., Griffin, J., Kaeli, D., Marsella, S., and Harteveld, C.
College/School:College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
ISBN:9781450367080

University Staff: Request a correction | Enlighten Editors: Update this record