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Evaluating the ICRA 2008 HRI challenge
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ACM/IEEE International Conference on Human-Robot Interaction archive
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction table of contents
La Jolla, California, USA
SESSION: HRI late-breaking abstracts table of contents
Pages 261-262  
Year of Publication: 2009
ISBN:978-1-60558-404-1
Authors
Astrid Weiss  University of Salzburg, Salzburg, Austria
Thomas Scherndl  University of Salzburg, Salzburg, Austria
Manfred Tscheligi  University of Salzburg, Salzburg, Austria
Aude Billard  EPFL, Austria
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper reports on the evaluation of the ICRA 2008 Human-Robot Interaction (HRI) Challenge. Five research groups demonstrated state-of-the-art work on HRI with a special focus on social and learning abilities. The demonstrations were rated by expert evaluators, in charge of awarding the prize, and 269 participants, i.e. 20 percent of the conference attendees through a standardized questionnaire (semantic differential). The data was analyzed with respect to six independent variables: expert evaluators vs. attendees, nationality of participants, origin region of the demo, age, gender and knowledge level of the attendees. Conference attendees tended to give higher scores for Social Skills, General Impression, and Overall Score than the expert evaluators. Irrespectively of the level of knowledge, age, and gender, conference attendees rated all demos relatively homogeneously. However, a comparative analysis of the conference attendees's ratings nationality-wise showed that demonstrations were rated differently depending on the region of origin. Conference attendees for the USA and Asian countries tended to rate demos from the same country of origin more frequently and more positively.


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:
Astrid Weiss: colleagues
Thomas Scherndl: colleagues
Manfred Tscheligi: colleagues
Aude Billard: colleagues