Investigating the Effects of Social Interactive Behaviours of a Robot on People’s Trust During a Navigation Task

Alessandra Rossi, Fernando Garcia, Arturo Cruz Maya, Kerstin Dautenhahn, Kheng Lee Koay, Michael L. Walters, Amit K. Pandey

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

4 Citations (Scopus)

Abstract

Identifying the roles and the specific social behaviours that evoke human trust towards robots is key for user acceptance. Specially, while performing tasks in the real world, such as navigation or guidance, the predictability of robot motion and predictions of user intentions facilitate interaction. We present a user study in which a humanoid-robot guided participants around a human populated environment, avoiding collisions while following a socially acceptable trajectory. We investigated which behaviours performed by a humanoid robot during a guidance task exhibited better social acceptance by people, and how robot behaviours influence their trust in a robot to safely complete a guiding task. We concluded that in general, people prefer and trust a robot that exhibits social behaviours such as talking and maintaining an appropriate safe distance from obstacles.
Original languageEnglish
Title of host publicationTowards Autonomous Robotic Systems - 20th Annual Conference, TAROS 2019, Proceedings
EditorsKaspar Althoefer, Jelizaveta Konstantinova, Ketao Zhang
PublisherSpringer Nature
Pages349-361
Number of pages13
ISBN (Electronic)9783030238070
ISBN (Print)9783030238063
DOIs
Publication statusPublished - 28 Jun 2019
Event20th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2019 - London, United Kingdom
Duration: 3 Jul 20195 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11649 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference20th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2019
Country/TerritoryUnited Kingdom
CityLondon
Period3/07/195/07/19

Keywords

  • Human-robot interaction
  • Robot companion
  • Robot social navigation
  • Social robotics
  • Trust in robots

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