  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.
