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Robot transparency:improving understanding of intelligent behaviour for designers and users


Reference:

Wortham, R. H., Theodorou, A. and Bryson, J. J., 2017. Robot transparency:improving understanding of intelligent behaviour for designers and users. In: TAROS 2017, 2017-07-19 - 2017-07-21, University of Surrey.

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    Abstract

    Autonomous robots can be difficult to design and understand. Designers have difficulty decoding the behaviour of their own robots simply by observing them. Naive users of robots similarly have difficulty deciphering robot behaviour simply through observation. In this paper we review relevant robot systems architecture, design, and transparency literature, and report on a programme of research to investigate practical approaches to improve robot transparency.We report on the investigation of real-time graphical and vocalised outputs as a means for both designers and end users to gain a better mental model of the internal state and decision making processes taking place within a robot. This approach, combined with a graphical approach to behaviour design, offers improved transparency for robot designers. We also report on studies of users’ understanding, where significant improvement has been achieved using both graphical and vocalisation transparency approaches.

    Details

    Item Type Conference or Workshop Items (Paper)
    CreatorsWortham, R. H., Theodorou, A. and Bryson, J. J.
    DepartmentsFaculty of Science > Computer Science
    Research CentresCentre for Mathematical Biology
    RefereedYes
    StatusPublished
    ID Code55794

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