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From HRI to CRI: Crowd Robot Interaction—Understanding the Effect of Robots on Crowd Motion

Bingqing Zhang 1 Javad Amirian 2 Harry Eberle 1 Julien Pettré 2 Catherine Holloway 1 Tom Carlson 1 
2 RAINBOW - Sensor-based and interactive robotics
Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : Abstract How does the presence of a robot affect pedestrians and crowd dynamics, and does this influence vary across robot type? In this paper, we took the first step towards answering 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 participants’ responses to post-interaction questionnaires. Quantitative analysis on the trajectories suggests the robot affects crowd dynamics in terms of trajectory regularity and interaction 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.
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https://hal.inria.fr/hal-03431745
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Submitted on : Thursday, June 2, 2022 - 11:19:24 AM
Last modification on : Saturday, August 6, 2022 - 3:33:11 AM
Long-term archiving on: : Saturday, September 3, 2022 - 6:53:20 PM

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Bingqing Zhang, Javad Amirian, Harry Eberle, Julien Pettré, Catherine Holloway, et al.. From HRI to CRI: Crowd Robot Interaction—Understanding the Effect of Robots on Crowd Motion. International Journal of Social Robotics, 2021, pp.1-13. ⟨10.1007/s12369-021-00812-7⟩. ⟨hal-03431745⟩

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