How Does the Agents' Appearance Affect Users' Interpretation of the Agents' Attitudes: Experimental Investigation on Expressing the Same Artificial Sounds From Agents With Different Appearances

Abstract

An experimental investigation into how the appearance of an agent such as a robot or PC affects people's interpretations of the agent's attitudes is presented. In general, people are said to create stereotypical agent behavioral models in their minds based on the agents' appearances, and these appearances significantly affect their way of interaction. Therefore, it is quite important to address with the following research question: How does an agent's appearance affect its interactions with people? Specifically, a preliminary experiment was conducted to select eight artificial sounds for which people can estimate two specific primitive attitudes (e.g., positive or negative). Then an experiment was conducted where the participants were presented with the selected artificial sounds through three kinds of agents: a MindStorms robot, AIBO robot, and laptop PC. In particular, the participants were asked to select the correct attitudes based on the sounds expressed by these three agents. The results showed that the participants had better interpretation rates when a PC presented the sounds and lower rates when the MindStorms and AIBO robots presented the sounds, even though the sounds expressed by these agents were the same. The results of this study contribute to the design policy of the interactive agents, such as, What types of appearances should agents have to effectively interact with people, and which kinds of information should these agents express to people?