Adaptive Strategies for Multi-party Interactions with Robots in Public Spaces

Saida Mussakhojayeva, Nazerke Kalidolda, Anara Sandygulova

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    In order to inform the important considerations when designing robotic applications for public spaces, the focus of this research is to investigate what socio-psychological effects should influence robot’s decision-making within public environments. Social environments are often complex and ambiguous: many queries to the robot are collaborative (e.g. a family), but in case of conflicting queries, social robots need to participate in value decisions and negotiating multi-party interactions. With the aim to investigate who should robots adapt to (children or adults) in multi-party situations within human-robot interactions in public spaces, this paper presents a real-world study conducted in a shopping mall. The results include a number of interesting findings based on people’s relationship with a child and their parental status.

    Original languageEnglish
    Title of host publicationSocial Robotics - 9th International Conference, ICSR 2017, Proceedings
    PublisherSpringer Verlag
    Pages749-758
    Number of pages10
    ISBN (Print)9783319700212
    DOIs
    Publication statusPublished - Jan 1 2017
    Event9th International Conference on Social Robotics, ICSR 2017 - Tsukuba, Japan
    Duration: Nov 22 2017Nov 24 2017

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume10652 LNAI
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference9th International Conference on Social Robotics, ICSR 2017
    CountryJapan
    CityTsukuba
    Period11/22/1711/24/17

    Keywords

    • Human-robot interaction
    • Multi-party interaction
    • Public spaces
    • Social robotics

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Computer Science(all)

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