Assessing workload in human-robot peer-based teams

  • Authors:
  • Caroline E. Harriott;Glenna L. Buford;Tao Zhang;Julie A. Adams

  • Affiliations:
  • Vanderbilt University, Nashville, TN, USA;Vanderbilt University, Nashville, TN, USA;Purdue University, West Lafayette, IN, USA;Vanderbilt University, Nashville, TN, USA

  • Venue:
  • HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
  • Year:
  • 2012

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Abstract

The effect of a robotic teammate on a human partner's workload has not been fully quantified. Prior research found that human participants experienced lower workload when working with a robotic partner than when working with a human partner. An evaluation investigated whether a similar trend in workload exists for tasks requiring direct and collaborative interaction between the partners, and joint team decision-making. The subjective results indicate a similar trend to the prior results; participants rated workload lower for the more complex task when partnered with a robot than when partnered with a human.