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Construction and evaluation of a model of natural human motion based on motion diversity

Authors:

Takashi Minato,

Hiroshi IshiguroAuthors Info & Claims

HRI '08: Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction

Pages 65 - 72

https://doi.org/10.1145/1349822.1349832

Published: 12 March 2008 Publication History

Abstract

A natural human-robot communication is supported by a person's interpersonal behavior for a robot. The condition to elicit interpersonal behavior is thought to be related to a mechanism to support natural communication. In the present study, we hypothesize that motion diversity produced independently of a subject's intention contributes to the human-like nature of the motions of an android that closely resembles a human being. In order to verify this hypothesis, we construct a model of motion diversity through the observation of human motion, specifically, a touching motion. Psychological experiments have shown that the presence of motion diversity in android motion influences the impression toward the android.

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Cited By

Seifi HBhatia AHornbæk K(2024)Charting User Experience in Physical Human–Robot InteractionACM Transactions on Human-Robot Interaction10.1145/365905813:2(1-29)Online publication date: 28-Jun-2024
https://dl.acm.org/doi/10.1145/3659058
Noroozi FDaneshmand MFiorini P(2023)Conventional, Heuristic and Learning-Based Robot Motion Planning: Reviewing Frameworks of Current Practical SignificanceMachines10.3390/machines1107072211:7(722)Online publication date: 7-Jul-2023
https://doi.org/10.3390/machines11070722
Rogel ASavery RYang NWeinberg G(2022)RoboGroove: Creating Fluid Motion for Dancing Robotic ArmsProceedings of the 8th International Conference on Movement and Computing10.1145/3537972.3537985(1-9)Online publication date: 22-Jun-2022
https://dl.acm.org/doi/10.1145/3537972.3537985
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Construction and evaluation of a model of natural human motion based on motion diversity

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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

General Chairs:
Terry Fong
NASA Ames Research Center, USA
,
Kerstin Dautenhahn
University of Hertfordshire, UK
,
Program Chairs:
Matthias Scheutz
Indiana University Bloomington, USA
,
Yiannis Demiris
Imperial College London, UK

Copyright © 2008 ACM.

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 March 2008

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HRI '08

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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

Seifi HBhatia AHornbæk K(2024)Charting User Experience in Physical Human–Robot InteractionACM Transactions on Human-Robot Interaction10.1145/365905813:2(1-29)Online publication date: 28-Jun-2024
https://dl.acm.org/doi/10.1145/3659058
Noroozi FDaneshmand MFiorini P(2023)Conventional, Heuristic and Learning-Based Robot Motion Planning: Reviewing Frameworks of Current Practical SignificanceMachines10.3390/machines1107072211:7(722)Online publication date: 7-Jul-2023
https://doi.org/10.3390/machines11070722
Rogel ASavery RYang NWeinberg G(2022)RoboGroove: Creating Fluid Motion for Dancing Robotic ArmsProceedings of the 8th International Conference on Movement and Computing10.1145/3537972.3537985(1-9)Online publication date: 22-Jun-2022
https://dl.acm.org/doi/10.1145/3537972.3537985
Thomaz AHoffman GCakmak M(2018)Computational Human-Robot InteractionFoundations and Trends in Robotics10.1561/23000000494:2-3(105-223)Online publication date: 13-Dec-2018
https://dl.acm.org/doi/10.1561/2300000049
Tennent HMoore DJu W(2018)Character ActorProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31614071:4(1-23)Online publication date: 8-Jan-2018
https://dl.acm.org/doi/10.1145/3161407
Turnwald AWollherr D(2018)Human-Like Motion Planning Based on Game Theoretic Decision MakingInternational Journal of Social Robotics10.1007/s12369-018-0487-2Online publication date: 11-Jul-2018
https://doi.org/10.1007/s12369-018-0487-2
Lim CKwon D(2017)Learning bowing gesture with motion diversity by dynamic movement primitives2017 14th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)10.1109/URAI.2017.7992701(165-166)Online publication date: Jun-2017
https://doi.org/10.1109/URAI.2017.7992701
Saygin AStadler W(2012)The role of appearance and motion in action predictionPsychological Research10.1007/s00426-012-0426-z76:4(388-394)Online publication date: 28-Feb-2012
https://doi.org/10.1007/s00426-012-0426-z
Saerbeck MBartneck CHinds PIshiguro HKanda TKahn P(2010)Perception of affect elicited by robot motionProceedings of the 5th ACM/IEEE international conference on Human-robot interaction10.5555/1734454.1734473(53-60)Online publication date: 2-Mar-2010
https://dl.acm.org/doi/10.5555/1734454.1734473
Saerbeck MBartneck C(2010)Perception of affect elicited by robot motion2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI)10.1109/HRI.2010.5453269(53-60)Online publication date: Mar-2010
https://doi.org/10.1109/HRI.2010.5453269
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