Systemic interaction analysis (SInA) in HRI

Lohse, Manja and Hanheide, Marc and Rohlfing, Katharina J. and Sagerer, Gerhard (2009) Systemic interaction analysis (SInA) in HRI. In: 4th ACM/IEEE international conference on Human robot interaction - HRI '09, 11-13 March 2009, La Jolla, CA.

Full content URL: http://dl.acm.org/citation.cfm?doid=1514095.151411...

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Abstract

Recent developments in robotics enable advanced human-robot interaction. Especially interactions of novice users with robots are often unpredictable and, therefore, demand for novel methods for the analysis of the interaction in systemic ways. We propose Systemic Interaction Analysis (SInA) as a method to jointly analyze system level and interaction level in an integrated manner using one tool. The approach allows us to trace back patterns that deviate from prototypical interaction sequences to the distinct system components of our autonomous robot. In this paper, we exemplarily apply the method to the analysis of the follow behavior of our domestic robot BIRON. The analysis is the basis to achieve our goal of improving human-robot interaction iteratively.

Additional Information:Recent developments in robotics enable advanced human-robot interaction. Especially interactions of novice users with robots are often unpredictable and, therefore, demand for novel methods for the analysis of the interaction in systemic ways. We propose Systemic Interaction Analysis (SInA) as a method to jointly analyze system level and interaction level in an integrated manner using one tool. The approach allows us to trace back patterns that deviate from prototypical interaction sequences to the distinct system components of our autonomous robot. In this paper, we exemplarily apply the method to the analysis of the follow behavior of our domestic robot BIRON. The analysis is the basis to achieve our goal of improving human-robot interaction iteratively.
Keywords:Robotics, Human-robot interaction, Humans, Legged locomotion, Prototypes, Robot sensing systems, Speech, Speech recognition, Cognitive robotics, Collaboration, Computer science, Informatics, Knowledge transfer, Learning systems, Orbital robotics, Robotics and automation, Robots, human augmented mapping, interactive learning framework, joint map acquisition process, learning by interacting paradigm, learning methods, robotic learning
Subjects:H Engineering > H670 Robotics and Cybernetics
Divisions:College of Science > School of Computer Science
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ID Code:6926
Deposited On:07 Jan 2013 09:16

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