Interaction debugging: an integral approach to analyze human-robot interaction

  • Authors:

  • Tijn Kooijmans;Takayuki Kanda;Christoph Bartneck;Hiroshi Ishiguro;Norihiro Hagita

  • Affiliations:

  • ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan and Eindhoven University of Technology, Eindhoven, The Netherlands;ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan;Eindhoven University of Technology, Eindhoven, The Netherlands;ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan and Osaka University, Osaka, Japan;ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan

  • Venue:
  • Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
  • Year:
  • 2006

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Abstract

Along with the development of interactive robots, controlled experiments and field trials are regularly conducted to stage human-robot interaction. Experience in this field has shown that analyzing human-robot interaction for evaluation purposes fosters the development of improved systems and the generation of new knowledge. In this paper, we present the interaction debugging approach, which is based on the collection and analysis of data from robots and their environment. Considering the multimodality of robotic technology, often only audio and video are insufficient for detailed analysis of human-robot interaction. Therefore, in our analysis we integrate multimodal information using audio, video, sensory data, and intermediate variables. An important aspect of the interaction debugging approach is using a tool called Interaction Debugger to analyze data. By supporting user-friendly data presentation, annotation and navigation, Interaction Debugger enables fine-grained inspection of human-robot interaction. The main goal of this paper is to address how an integral approach to the analysis of human-robot interaction can be adopted. This is demonstrated by three case studies.