학술논문

Identifying nonverbal cues for automated human-robot turn-taking
Document Type
Conference
Source
2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication RO-MAN, 2012 IEEE. :418-423 Sep, 2012
Subject
Robotics and Control Systems
Signal Processing and Analysis
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Fields, Waves and Electromagnetics
Humans
Collaboration
Joints
Games
Service robots
Context
Language
ISSN
1944-9445
1944-9437
Abstract
Nonverbal communication cues play an important role in human-human interaction and are expected to take a similar role in human-robot collaboration. In current industrial practice, human-robot turn-taking is explicitly human controlled, via a command channel such as switch or button. However, such a master-slave approach does not permit collaborative interaction, and requires the human to focus on both controlling the robot's behavior and on the task, thereby affecting overall performance. In this paper, implicit, nonverbal communication cues are examined as a non-explicit communication channel during a turn-taking task context. The aim of this study is to characterize the types and frequencies of nonverbal cues important to regulating turn taking during an assembly-task-type collaboration. This analysis will guide the selection of cues that can be expressed by the robot as implicit user inputs while human and robot complete a shared task.