Development of a taxonomy to improve human-robot-interaction through multimodal robot feedback

  • Authors:
  • Nicole Mirnig

  • Affiliations:
  • ICT&S Center, University of Salzburg, Salzburg, Austria

  • Venue:
  • CHI '13 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2013

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Abstract

The adequacy of a robot's feedback is crucial for advan-ced human-robot interaction (HRI). We investigate how multimodality can add value for better cooperation in a future in which robots will co-exist with us. There is a lot of research around service robots and many scena-rios are being worked on: Robots that help us, cooper-ate with us, or even ones that eventually need our assistance. For smooth interaction it is necessary for humans to understand the robot, which is why I pro-pose a taxonomy of robot feedback. The taxonomy, which is mapped out in an iterative process, is aimed at providing a deeper understanding of feedback in general and to improve the specific area of HRI.