Engagement by Looking: Behaviors for Robots When Collaborating with People
Speaker: Candy Sidner , Mitsubishi Electric Research Laboratories (MERL)
Date: September 19 2003
Relevant URL: http;//www.merl.com/people/sidner
When people interact, they convey their intentions not only to talk to one another, but to start, maintain and end their interactions. In face-to-face interaction, this process of engagement takes place via non-verbal as well as verbal communication. This talk will discuss the engagement process, how people perform part of it through their mutual looking at each other and other objects. The talk will report on some results of human-human interaction data and then turn to using these results with a robot. The talk will discuss how to get a robot to engage with a human both through collaborative conversation and appropriate looking. We will also discuss limitations in the robot's behavior and directions for improvement. This work is joint with Chris Lee and Neal Lesh, MERL and Cory Kidd, MIT Media Lab.
Candace L. Sidner is an expert in user interfaces, especially those involving speech and natural language understanding, and human and machine collaboration. Candy has extensive experience in industrial labs, and is a senior scientist at Mitsubishi Electric Research Labs in Cambridge, Massachusetts (www.merl.com/people/sidner). She is currently working on human-robot interaction focused on the role of engagement in conversation and speech applications involving collaborative interface agents in the COLLAGEN project. She is a Fellow and past Councilor of the American Association for Artificial Intelligence, was recently chair of the International Conference on Intelligent User Interfaces, and is a past President of the Association for Computational Linguistics. She received her Ph.D. from MIT in Computer Science.
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