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Personalized Human-Robot Interaction with a Robot Bartender

Published: 04 July 2022 Publication History

Abstract

The ability to personalize behaviors is essential for a robot to develop and maintain a long-lasting bond with a user in human-oriented applications, such as a service domain. Service robots must be capable of deducing what actions would be most desirable and best serve the needs and requirements of any interacting users. However, the personalization of a service robot in real-world human-robot interaction (HRI) requires the development of sophisticated mechanisms for identifying differences within the focused group of users, creating a relative user model representation, and finally, devising the varieties of the robot’s behaviors. In this work, we briefly present the multiple methodologies developed for an autonomous bartender robot to personalize its behaviors upon the customers’ moods, attention behaviors, purchasing preferences, personal preferences for interaction, and previous interaction strategies. We expect that the robot would need to serve and interact with multiple customers at the time, as it usually happens in human bartending scenarios. For this reason, our robot has been endowed with the ability to engage multiple users by alternating its attention between them, and personalizing enjoyable interactions through small talk (e.g., welcoming and conversing about topics of general interest related to recent news).

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Presentation Video on Personalized Human-Robot Interaction with a Robot Bartender
MP4 File (ACM_UMAP22_Paper225.mp4)
Presentation Video on Personalized Human-Robot Interaction with a Robot Bartender
MP4 File (ACM_UMAP22_Paper225.mp4)
Presentation Video on Personalized Human-Robot Interaction with a Robot Bartender

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  • (2025)Multimodal Analysis of User Engagement with a Recommender Robot in Cafe SettingsEuropean Robotics Forum 202410.1007/978-3-031-76428-8_24(124-129)Online publication date: 1-Jan-2025
  • (2024)Shutter: A Low-Cost and Flexible Social Robot Platform for In-the-Wild DeploymentsCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3641090(94-96)Online publication date: 11-Mar-2024
  • (2024)How do people intend to disclose personal information to a social robot in public spaces?2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731370(1809-1814)Online publication date: 26-Aug-2024
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Published In

cover image ACM Conferences
UMAP '22 Adjunct: Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
July 2022
409 pages
ISBN:9781450392327
DOI:10.1145/3511047
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 04 July 2022

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Author Tags

  1. Human-robot interaction
  2. personalization
  3. robot bartender
  4. service robotics

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  • Short-paper
  • Research
  • Refereed limited

Funding Sources

  • Recovery assistance for cohesion and the territories of Europe
  • Italian PON I&C 2014-2020

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UMAP '22
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Overall Acceptance Rate 162 of 633 submissions, 26%

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UMAP '25

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Cited By

View all
  • (2025)Multimodal Analysis of User Engagement with a Recommender Robot in Cafe SettingsEuropean Robotics Forum 202410.1007/978-3-031-76428-8_24(124-129)Online publication date: 1-Jan-2025
  • (2024)Shutter: A Low-Cost and Flexible Social Robot Platform for In-the-Wild DeploymentsCompanion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610978.3641090(94-96)Online publication date: 11-Mar-2024
  • (2024)How do people intend to disclose personal information to a social robot in public spaces?2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731370(1809-1814)Online publication date: 26-Aug-2024
  • (2024)An Emotional-based Methodology to Detect Preferences in a Decision-making Process Applied to a Virtual Service RobotJournal of Intelligent & Robotic Systems10.1007/s10846-024-02163-7110:4Online publication date: 4-Oct-2024
  • (2023)Kualitas Pelayanan Bartender di The Lounge Four Point Hotel by Sheraton SurabayaJurnal Pariwisata dan Perhotelan10.47134/pjpp.v1i1.18891:1(7)Online publication date: 1-Nov-2023
  • (2023)Character expression of a conversational robot for adapting to user personalityAdvanced Robotics10.1080/01691864.2023.228580438:4(256-266)Online publication date: 2-Dec-2023
  • (2023)Creating Personalized Verbal Human-Robot Interactions Using LLM with the Robot MiniProceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023)10.1007/978-3-031-48306-6_15(148-159)Online publication date: 25-Nov-2023
  • (2022)Social robot advisors: effects of robot judgmental fallacies and contextIntelligent Service Robotics10.1007/s11370-022-00438-215:5(593-609)Online publication date: 1-Nov-2022

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