Enabling robots to make use of the structure of human actions - a user study employing Acoustic Packaging

M. Lohse, Britta Wrede, Lars Schillingmann

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    4 Citations (Scopus)

    Abstract

    Human learning strongly depends on the ability to structure the actions of teachers in order to identify relevant parts. We propose that this is also true for learning in robots. Therefore, we apply a method for multimodal action segmentation called Acoustic Packaging to a corpus of pairs of users teaching object names to a robot. Going beyond previous use cases, we analyze how the structure of human actions changes if the robot is learning quickly or slowly. Our results reveal differences between action structuring in the conditions such as longer utterances and more motion when the robot learns slowly. We also evaluate how the partners in the pair influence each other's action structuring. The results show a strong correlation between the participants in the pairs, even more so in the trials where the robot is learning slowly. We conclude that the action structuring based on Acoustic Packaging allows robots to differentiate how well the interaction with multiple users is going and is, thus, a vehicle for feedback generation.
    Original languageUndefined
    Title of host publicationProceedings of the 22nd IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2013
    Place of PublicationUSA
    PublisherIEEE ROBOTICS AND AUTOMATION SOCIETY
    Pages490-495
    Number of pages6
    ISBN (Print)1944-9445
    DOIs
    Publication statusPublished - 26 Aug 2013
    Event2013 22nd IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2013 - Gyeongju Hilton Hotel, Gyengju, Korea, Republic of
    Duration: 26 Aug 201329 Aug 2013
    Conference number: 22

    Publication series

    Name
    PublisherIEEE Robotics and Automation Society
    ISSN (Print)1944-9445

    Conference

    Conference2013 22nd IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2013
    Abbreviated titleRO-MAN
    CountryKorea, Republic of
    CityGyengju
    Period26/08/1329/08/13

    Keywords

    • HMI-IA: Intelligent Agents
    • HMI-MI: MULTIMODAL INTERACTIONS
    • IR-89707
    • METIS-302884
    • EWI-24539

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