Lab meeitng 13 Oct., 2006 (Yu-Chun)

1. Fostering Common Ground in Human-Robot Interaction

IEEE International Workshop on Robots and Human Interactive Communication
Sara Kiesler

Abstract:
Effective communication between people and interactive robots will benefit if they have a common ground of understanding. I discuss how the common ground principle of least collective effort can be used to predict and design human robot interactions. Social cues lead people to create a mental model of a robot and estimates of its knowledge. People’s mental model and knowledge estimate will, in turn, influence the effort they expend to communicate with the robot. People will explain their message in less detail to a knowledgeable robot with which they have more common ground. This process can be leveraged to design interactions that have an appropriate style of robot direction and that accommodate to differences among people.

Link

2. Interactions with a Moody Robot

Proceedings of Human-Robot Interaction, 2006
Rachel Gockley, Jodi Forlizzi, Reid Simmons

Abstract:
This paper reports on the results of a long-term experiment in which a social robot’s facial expressions were changed to reflect different moods. While the facial changes in each condition were not extremely different, they still altered how people interacted with the robot. On days when many visitors were present, average interactions with the robot were longer when the robot displayed either a “happy” or a “sad” expression instead of a neutral face, but the opposite was true for low-visitor days. The implications of these findings for human-robot social interaction are discussed.

Link