• DocumentCode
    3593003
  • Title

    Evaluating the ICRA 2008 HRI challenge

  • Author

    Weiss, Adam ; Scherndl, T. ; Tscheligi, Manfred ; Billard, Aude

  • Author_Institution
    ICT&S Center, Univ. of Salzburg, Salzburg, Austria
  • fYear
    2009
  • Firstpage
    261
  • Lastpage
    262
  • 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.
  • Keywords
    human-robot interaction; learning (artificial intelligence); ICRA 2008 HRI challenge evaluation; expert evaluators; human-robot interaction; learning abilities; semantic differential; social abilities; state-of-the-art work; Asia; Automation; Conferences; Educational institutions; Europe; Humans; Robots; Evaluation; Expert Evaluation; Human-Robot Interaction Challenge; User-based Evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human-Robot Interaction (HRI), 2009 4th ACM/IEEE International Conference on
  • ISSN
    2167-2121
  • Print_ISBN
    978-1-60558-404-1
  • Type

    conf

  • Filename
    6256054