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)


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
EditorsKenji Suzuki, Hongsheng He, Abderrahmane Kheddar, Eiichi Yoshida, Friederike Eyssel, Shuzhi Sam Ge, John-John Cabibihan
PublisherSpringer Verlag
Number of pages10
ISBN (Print)9783319700212
Publication statusPublished - 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


Conference9th International Conference on Social Robotics, ICSR 2017


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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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