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Interaction debugging: an integral approach to analyze human-robot interaction
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Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction table of contents
Salt Lake City, Utah, USA
SESSION: Programming and OS issues in HRI table of contents
Pages: 64 - 71  
Year of Publication: 2006
ISBN:1-59593-294-1
Authors
Tijn Kooijmans  ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan and Eindhoven University of Technology, Eindhoven, The Netherlands
Takayuki Kanda  ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan
Christoph Bartneck  Eindhoven University of Technology, Eindhoven, The Netherlands
Hiroshi Ishiguro  ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan and Osaka University, Osaka, Japan
Norihiro Hagita  ATR Intelligent Robotics and Communication Laboratories, Kyoto, Japan
Sponsors
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Tijn Kooijmans: colleagues
Takayuki Kanda: colleagues
Christoph Bartneck: colleagues
Hiroshi Ishiguro: colleagues
Norihiro Hagita: colleagues