The Impact of Perceived Risk on Trust in Human-Robot Interaction

Liang Tang, Masooda Bashir

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

Abstract

As robots increasingly assist humans in high-risk scenarios, understanding how perceived risk influences human-robot trust becomes crucial. This study investigates the effect of risk perception on trust dynamics in human-robot interaction (HRI) using a virtual reality (VR) fire evacuation scenario. We controlled risk levels and measured their impact on trust, compliance, and propensity to trust. Contrary to expectations, results suggest that risk perception does not significantly affect these metrics. This study contributes to the growing body of knowledge on trust in high-stakes HRI and highlights the need for further research into the complex interplay between risk and trust in human-robot partnerships.

Original languageEnglish (US)
Title of host publicationSocial Robotics - 16th International Conference, ICSR + AI 2024, Proceedings
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
Pages276-282
Number of pages7
ISBN (Print)9789819635184
DOIs
StatePublished - 2025
Event16th International Conference on Social Robotics, ICSR + AI 2024 - Odense, Denmark
Duration: Oct 23 2024Oct 26 2024

Publication series

NameLecture Notes in Computer Science
Volume15562 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Social Robotics, ICSR + AI 2024
Country/TerritoryDenmark
CityOdense
Period10/23/2410/26/24

Keywords

  • Human-centered design
  • Human-robot-interaction
  • Trust

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'The Impact of Perceived Risk on Trust in Human-Robot Interaction'. Together they form a unique fingerprint.

Cite this