Predicting Human Operator’s Decisions Based on Prospect Theory

• Published in: Interacting with computers Vol. 32; no. 3; pp. 221 - 232
• Main Authors: de Souza, Paulo E U, Chanel, Caroline P C, Mailliez, Melody, Dehais, Frédéric
• Format: Journal Article
• Language: English
• Published: Oxford University Press 01.05.2020; Oxford University Press (OUP)
• Subjects: Cognitive science; Neuroscience; prospect theory; model-based predictor design; framing effect; human–computer interaction (HCI); cognitive bias; human–robot(s) interaction (HRI); Prospect theory; Human-computer interaction (HCI)- Human-robot(s) interaction (HRI); Model-based predictor design; Framing effect; Cognitive bias

Abstract The aim of this work is to predict human operator’s (HO) decisions in a specific operational context, such as a cooperative human-robot mission, by approximating his/her utility function based on prospect theory (PT). To this aim, a within-subject experiment was designed in which the HO has...