Responsive Social Agents: Feedback-Sensitive Behavior Generation for Social Interactions

Jered Hendrik Vroon, Gwenn Englebienne, Vanessa Evers

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

    4 Citations (Scopus)
    153 Downloads (Pure)


    How can we generate appropriate behavior for social artificial agents? A common approach is to (1) establish with controlled experiments which action is most appropriate in which setting, and (2) select actions based on this knowledge and an estimate of the setting. This approach faces challenges, as it can be very hard to acquire and reason with all the required knowledge. Estimating the setting is challenging too, as many relevant aspects of the setting (e.g. personality of the interactee) can be unobservable. We formally describe an alternative approach that can handle these challenges; responsiveness. This is the idea that a social agent can utilize the many feedback cues given in social interactions to continuously adapt its behavior to something more appropriate. We theoretically discuss the relative advantages and disadvantages of these two approaches, which allows for more explicitly considering their application in social agents.
    Original languageEnglish
    Title of host publicationSocial Robotics
    Subtitle of host publication8th International Conference, ICSR 2016, Kansas City, MO, USA, November 1-3, 2016 Proceedings
    EditorsArvin Agah, John-John Cabibihan, Ayanna M. Howard, Miguel A. Salichs, Hongsheng He
    Number of pages12
    ISBN (Electronic)978-3-319-47437-3
    Publication statusPublished - Nov 2016
    Event8th International Conference on Social Robotics, ICSR 2016 - Kansas City, United States
    Duration: 1 Nov 20163 Nov 2016
    Conference number: 8

    Publication series

    NameLecture notes in computer science


    Conference8th International Conference on Social Robotics, ICSR 2016
    Abbreviated titleICSR 2016
    Country/TerritoryUnited States
    CityKansas City


    • Feedback
    • Control architectures
    • IR-104076
    • Social Robotics
    • EWI-27601


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