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On the effect of the user's background on communicating grasping commands

Published:02 March 2006Publication History

ABSTRACT

In this paper, we investigate the impact of the user's background on their ability to communicate grasping commands to a robot. We conducted a study where a group of 15 non-technical users use natural language to instruct a robotic arm to grasp five small everyday objects. We found that users with less technical backgrounds choose simple more predictable commands over complex unpredictable movements. These users also required more time and commands to complete a grasping task compared to users with more technical backgrounds. Other results however suggest that the user's background is not the most critical factor. Individual preferences and learning approaches also appear to play a role in command choices.

References

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  2. M. A. Moussa and M. S. Kamel. An experimental approach to robotic grasping using a connectionist architecture and generic grasping functions IEEE Transactions on Systems, Man and Cybernetics, 28:239--253, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. J. Pineau, M. Montemerlo, M. Pollack, N. Roy, and S. Thrun. Towards robotic assistants in nursing homes: Challenges and results. Robotics and Autonomous Systems, 42(3-4):271--281, March 2003.Google ScholarGoogle ScholarCross RefCross Ref
  4. M. Ralph and M. Moussa. Human-robot interaction for robotic grasping: A pilot study. In Proceedings, IEEE/RSJ Int. Conf. on Intelligent Robots an Systems (IROS), pages 2146--2151, Edmonton, Canada, August 2005.Google ScholarGoogle ScholarCross RefCross Ref

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          cover image ACM Conferences
          HRI '06: Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
          March 2006
          376 pages
          ISBN:1595932941
          DOI:10.1145/1121241

          Copyright © 2006 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 2 March 2006

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          Overall Acceptance Rate242of1,000submissions,24%

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