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How close?: model of proximity control for information-presenting robots

Published: 12 March 2008 Publication History

Abstract

This paper describes a model for a robot to appropriately control its position when it presents information to a user. This capability is indispensable since in the future many robots will be functioning in daily situations as shopkeepers presenting products to customers or museum guides presenting information to visitors. Psychology research suggests that people adjust their positions to establish a joint view toward a target object. Similarly, when a robot presents an object, it should stand at an appropriate position that considers the positions of both the listener and the object to optimize the listener's field of view and to establish a joint view. We observed human-human interaction situations where people presented objects and developed a model for an information-presenting robot to appropriately adjust its position. Our model consists of four constraints for establishing O-space: (1) proximity to listener, (2) proximity to object, (3) listener's field of view, and (4) presenter's field of view. We also present an experimental evaluation of the effectiveness of our model.

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Published In

cover image ACM Conferences
HRI '08: Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
March 2008
402 pages
ISBN:9781605580173
DOI:10.1145/1349822
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: 12 March 2008

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Author Tags

  1. communication robot
  2. human-robot interaction

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HRI '08
HRI '08: International Conference on Human Robot Interaction
March 12 - 15, 2008
Amsterdam, The Netherlands

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Overall Acceptance Rate 268 of 1,124 submissions, 24%

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Cited By

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  • (2024)Ethics, Culture, and Values Impacted by Human–Robot InteractionsThe Cambridge Handbook of the Law, Policy, and Regulation for Human–Robot Interaction10.1017/9781009386708.024(391-604)Online publication date: 7-Dec-2024
  • (2022)Detecting Groups and Estimating F-Formations for Social Human–Robot InteractionsMultimodal Technologies and Interaction10.3390/mti60300186:3(18)Online publication date: 23-Feb-2022
  • (2020)When Agents Become Partners: A Review of the Role the Implicit Plays in the Interaction with Artificial Social AgentsMultimodal Technologies and Interaction10.3390/mti40400814:4(81)Online publication date: 22-Nov-2020
  • (2019)Curiosity Did Not Kill the RobotACM Transactions on Human-Robot Interaction10.1145/33264628:3(1-24)Online publication date: 23-Jul-2019
  • (2019)Two Demonstrators Are Better Than One—A Social Robot That Learns to Imitate People With Different Interaction StylesIEEE Transactions on Cognitive and Developmental Systems10.1109/TCDS.2017.278706211:3(319-333)Online publication date: Sep-2019
  • (2019)Social interaction with visitors: mobile guide robots capable of offering a museum tourIEEJ Transactions on Electrical and Electronic Engineering10.1002/tee.2300914:12(1823-1835)Online publication date: 3-Sep-2019
  • (2018)Where Should Robots Talk?Proceedings of the 2018 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3171221.3171265(270-278)Online publication date: 26-Feb-2018
  • (2018)Learning proactive behavior for interactive social robotsAutonomous Robots10.1007/s10514-017-9671-842:5(1067-1085)Online publication date: 1-Jun-2018
  • (2017)An Affordance-Based Conceptual Framework for Spatial Behavior of Social RobotsSociality and Normativity for Robots10.1007/978-3-319-53133-5_7(137-158)Online publication date: 31-May-2017
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