Walk the Talk: Gestures in Mobile Interaction

Zeynep Yucel, Francesco Zanlungo, Masahiro Shiomi

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

3 Citations (Scopus)


This study aims at describing navigation guidelines and concerning analytic motion models for a mobile interaction robot, which moves together with a human partner. We address particularly the impact of gestures on the coupled motion of this human-robot pair. We pose that the robot needs to adjust its navigation in accordance to its gestures in a natural manner (mimicking human-human locomotion). In order to justify this suggestion, we first examine the motion patterns of real-world pedestrian dyads in accordance to 4 affective components of interaction (i.e. gestures). Three benchmark variables are derived from pedestrian trajectories and their behavior is investigated with respect to three conditions: (i) presence/absence of isolated gestures, (ii) varying number of simultaneously performed (i.e. concurring) gestures, (iii) varying size of the environment. It is observed empirically and proven quantitatively that there is a significant difference in the benchmark variables between presence and absence of the gestures, whereas no prominent variation exists in regard to the type of gesture or the number of concurring gestures. Moreover, size of the environment is shown to be a crucial factor in sustainability of the group structure. Subsequently, we propose analytic models to represent these behavioral variations and prove that our models attain significant accuracy in reflecting the distinctions. Finally, we propose an implementation scheme for integrating the analytic models to practical applications. Our results bear the potential of serving as navigation guidelines for the robot so as to provide a more natural interaction experience for the human counterpart of a robot-pedestrian group on-the-move.

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 pages11
Volume10652 LNAI
ISBN (Print)9783319700212
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


Other9th International Conference on Social Robotics, ICSR 2017


  • Affective communication
  • Gestures

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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