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Field Trial of an Autonomous Shopworker Robot that Aims to Provide Friendly Encouragement and Exert Social Pressure

Authors:

Sachi Edirisinghe,

Takayuki KandaAuthors Info & Claims

HRI '24: Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction

Pages 194 - 202

https://doi.org/10.1145/3610977.3635007

Published: 11 March 2024 Publication History

Abstract

We developed an autonomous hatshop robot for encouraging customers to try on hats by providing comments that appropriately fit their actions, and in such a way also indirectly exerting social pressure. To enable it to offer such a service smoothly in a real shop, we developed a large system (around 150k lines of code with 23 ROS packages) integrated with various technologies, like people tracking, shopping activity recognition and navigation. The robot needed to move in narrow corridors, detect customers, and recognise their shopping activities. We employed an iterative development process, repeating trial-and-error integration with the robot in the actual shop, while also collecting real-world data during field-testing. This process enabled us to improve our shopping activity recognition system by collecting real-world data, and to adapt our software modules to the target shop environment. We report the lessons learnt during our system development process. The results of our 11-day field trial show that our robot was able to provide its services reasonably well. Many customers expressed a positive impression of the robot and its services.

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Cited By

Rihet MSarthou GClodic ARoy R(2024)Electrophysiological Measures for Human–Robot Collaboration Quality AssessmentDiscovering the Frontiers of Human-Robot Interaction10.1007/978-3-031-66656-8_15(363-380)Online publication date: 24-Jul-2024
https://doi.org/10.1007/978-3-031-66656-8_15

Index Terms

Field Trial of an Autonomous Shopworker Robot that Aims to Provide Friendly Encouragement and Exert Social Pressure
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

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Published In

cover image ACM Conferences

HRI '24: Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction

March 2024

982 pages

ISBN:9798400703225

DOI:10.1145/3610977

General Chairs:
Dan Grollman
Plus One Robotics, USA
,
Elizabeth Broadbent
University of Auckland, New Zealand
,
Program Chairs:
Wendy Ju
Cornell Tech, USA
,
Harold Soh
National University of Singapore, Singapore
,
Tom Williams
Colorado School of Mines, USA

Copyright © 2024 ACM.

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Published: 11 March 2024

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JST, CREST
JSPS, KAKENHI
JST, AIP Trilateral AI Research
JST, Moonshot R&D

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HRI '24

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HRI '24: ACM/IEEE International Conference on Human-Robot Interaction

March 11 - 15, 2024

CO, Boulder, USA

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Cited By

Rihet MSarthou GClodic ARoy R(2024)Electrophysiological Measures for Human–Robot Collaboration Quality AssessmentDiscovering the Frontiers of Human-Robot Interaction10.1007/978-3-031-66656-8_15(363-380)Online publication date: 24-Jul-2024
https://doi.org/10.1007/978-3-031-66656-8_15

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