Co-Movement and Trust Development in Human-Robot Teams

  • Nicola Webb
  • , Sanja Milivojevic
  • , Mehdi Sobhani
  • , Zachary R. Madin
  • , James C. Ward
  • , Sagir Yusuf
  • , Chris Baber
  • , Edmund R. Hunt*
  • *Corresponding author for this work

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

Abstract

For humans and robots to form an effective human-robot team (HRT) there must be sufficient trust between team members throughout a mission. We analyze data from an HRT experiment focused on trust dynamics in teams of one human and two robots, where trust was manipulated by robots becoming temporarily unresponsive. Whole-body movement tracking was achieved using ultrasound beacons, alongside communications and performance logs from a human-robot interface. We find evidence that synchronization between time series of human-robot movement, within a certain spatial proximity, is correlated with changes in self-reported trust. This suggests that the interplay of proxemics and kinesics—i.e. moving together through space, where implicit communication via coordination can occur—could play a role in building and maintaining trust in human-robot teams. Thus, quantitative indicators of coordination dynamics between team members could be used to predict trust over time and also provide early warning signals of the need for timely trust repair if trust is damaged. Hence, we aim to develop the metrology of trust in mobile human-robot teams.

Original languageEnglish
Title of host publicationSocial Robotics
Subtitle of host publication16th International Conference, ICSR + AI 2024, Odense, Denmark, October 23–26, 2024, Proceedings, Part I
EditorsOskar Palinko, Leon Bodenhagen, John-John Cabibihan, Kerstin Fischer, Selma Šabanović, Katie Winkle, Laxmidhar Behera, Shuzhi Sam Ge, Dimitrios Chrysostomou, Wanyue Jiang, Hongsheng He
PublisherSpringer
Pages107-120
Number of pages14
Edition1
ISBN (Electronic)9789819635221
ISBN (Print)9789819635214
DOIs
Publication statusPublished - 25 Mar 2025
Event16th International Conference on Social Robotics, ICSR + AI 2024 - Odense, Denmark
Duration: 23 Oct 202426 Oct 2024

Publication series

NameLecture Notes in Computer Science
Volume15561
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Social Robotics, ICSR + AI 2024
Country/TerritoryDenmark
CityOdense
Period23/10/2426/10/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Keywords

  • Behavioral Indicators
  • Human-Robot Teaming
  • Trust

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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