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.
- Pub Date:
- June 2018
- Computer Science - Human-Computer Interaction;
- Computer Science - Artificial Intelligence;
- Computer Science - Robotics
- presented at 1st Workshop on Humanizing AI (HAI) at IJCAI'18 in Stockholm, Sweden