Environment modification in a simulated human-robot interaction task:: experimentation and analysis

  • Authors:
  • Robert St. Amant;David B. Christian

  • Affiliations:
  • North Carolina State University, Raleigh, NC;North Carolina State University, Raleigh, NC

  • Venue:
  • Proceedings of the 8th international conference on Intelligent user interfaces
  • Year:
  • 2003

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Abstract

This paper describes a novel approach to human-robot interaction, in which a user modifies a robot's environment to constrain its actions, rather than programming its controller. An HRI simulation of a maze navigation task is presented. An empirical evaluation shows that for this task, users prefer an environment modification strategy rather than a programming strategy as the difficulty of the task increases. Further, user alternation between the two types of strategy follows a clear pattern. A preliminary model extending the HRI simulation, one which allows the specification of more general navigation environments, is also presented