UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

From HRI to CRI: Crowd Robot Interaction - understanding the effect of robots on crowd motion

Zhang, B; Amirian, J; Eberle, H; Pettré, J; Holloway, C; Carlson, T; (2021) From HRI to CRI: Crowd Robot Interaction - understanding the effect of robots on crowd motion. International Journal of Social Robotics 10.1007/s12369-021-00812-7. (In press). Green open access

[thumbnail of From_HRI_to_CRI_pdf.pdf]
Preview
Text
From_HRI_to_CRI_pdf.pdf - Accepted Version

Download (13MB) | Preview

Abstract

How does the presence of a robot affect pedestri- ans and crowd dynamics, and does this influence vary across robot type? In this paper, we took the first step towards an- swering this question by performing a crowd-robot gate- crossing experiment. The study involved 28 participants and two distinct robot representatives: A smart wheelchair and a Pepper humanoid robot. Collected data includes: video recordings; robot and participant trajectories; and partici- pants’ responses to post-interaction questionnaires. Quanti- tative analysis on the trajectories suggests the robot affects crowd dynamics in terms of trajectory regularity and interac- tion complexity. Qualitative results indicate that pedestrians tend to be more conservative and follow “social rules” while passing a wheelchair compared to a humanoid robot. These insights can be used to design a social navigation strategy that allows more natural interaction by considering the robot effect on the crowd dynamics.

Type: Article
Title: From HRI to CRI: Crowd Robot Interaction - understanding the effect of robots on crowd motion
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/s12369-021-00812-7
Publisher version: https://doi.org/10.1007/s12369-021-00812-7
Language: English
Additional information: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Crowd dynamics, Social navigation, Human–robot interaction, Smart wheelchair
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci > Department of Ortho and MSK Science
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10131274
Downloads since deposit
82Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item