Let me tell you! investigating the effects of robot communication strategies in advice-giving situations based on robot appearance, interaction modality and distance

  • Authors:

  • Megan Strait;Cody Canning;Matthias Scheutz

  • Affiliations:

  • Tufts University, Medford, MA, USA;Tufts University, Medford, MA, USA;Tufts University, Medford, MA, USA

  • Venue:
  • Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
  • Year:
  • 2014

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Abstract

Recent proposals for how robots should talk to people when they give advice suggest that the same strategies humans employ with other humans are effective for robots as well. However, the evidence is exclusively based on people's observation of robot giving advice to other humans. Hence, it is not clear whether the results still apply when people actually participate in real interactions with robots. We address this shortcoming in a novel systematic mixed-methods study where we employ both survey-based subjective and brain-based objective measures (using functional near infrared spectroscopy). The results show that previous results from observation conditions do not transfer automatically to interaction conditions, and that robot appearance and interaction distance are important modulators of human perceptions of robot behavior in advice-giving contexts.