With the rapid development of robot and other intelligent and autonomous agents, how a human could be influenced by a robot's expressed mood when making decisions becomes a crucial question in human-robot interaction. In this pilot study, we investigate (1) in what way a robot can express a certain mood to influence a human's decision making behavioral model; (2) how and to what extent the human will be influenced in a game theoretic setting. More specifically, we create an NLP model to generate sentences that adhere to a specific affective expression profile. We use these sentences for a humanoid robot as it plays a Stackelberg security game against a human. We investigate the behavioral model of the human player.
@article{arxiv.1806.03671,
title = {The Impact of Humanoid Affect Expression on Human Behavior in a Game-Theoretic Setting},
author = {Aaron M. Roth and Umang Bhatt and Tamara Amin and Afsaneh Doryab and Fei Fang and Manuela Veloso},
journal= {arXiv preprint arXiv:1806.03671},
year = {2018}
}
Comments
presented at 1st Workshop on Humanizing AI (HAI) at IJCAI'18 in Stockholm, Sweden