Title
Identifying nonverbal cues for automated human-robot turn-taking
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.
Year
DOI
Venue
2012
10.1109/ROMAN.2012.6343788
Paris
Keywords
Field
DocType
human-robot interaction,assembly-task-type collaboration,automated human-robot turn-taking,command channel,human-human interaction,human-robot collaboration,master-slave approach,nonexplicit communication channel,nonverbal communication cues,nonverbal cues identification
Computer vision,Turn-taking,Simulation,Collaborative interaction,Computer science,Communication channel,Nonverbal communication,Artificial intelligence,Robot,Human–robot interaction
Conference
ISSN
ISBN
Citations 
1944-9445 E-ISBN : 978-1-4673-4605-4
978-1-4673-4605-4
3
PageRank 
References 
Authors
0.43
0
6