poster

Adapting robot behavior to user's capabilities: a dance instruction study

Authors:

Raquel Ros,

Ilaria Baroni,

Marco Nalin,

Yiannis DemirisAuthors Info & Claims

HRI '11: Proceedings of the 6th international conference on Human-robot interaction

Pages 235 - 236

https://doi.org/10.1145/1957656.1957748

Published: 06 March 2011 Publication History

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Abstract

The ALIZ-E¹ project's goal is to design a robot companion able to maintain affective interactions with young users over a period of time. One of these interactions consists in teaching a dance to hospitalized children according to their capabilities. We propose a methodology for adapting both, the movements used in the dance based on the user's cognitive and physical capabilities through a set of metrics, and the robot's interaction based on the user's personality traits.

References

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I. E. V. Rossberg-Gempton, J. Dickinson, and G. Poole, "Creative dance: Potentiality for enhancing social functioning in frail seniors and young children," The Arts in Psychotherapy, vol. 26, pp. 313--327, 1999.

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T. I. Hilgenkamp, R. van Wijck, and H. M. Evenhuis, "Physical fitness in older people with id-concept and measuring instruments: A review," Research in Develop. Disabilities, vol. 31, pp. 1027--1038, 2010.

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B. Hands, "Changes in motor skill and fitness measures among children with high and low motor competence: A five-year longitudinal study," Journal of Science and Medicine in Sport, vol. 11, pp. 155--162, 2008.

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R. Looije, M. A. Neerincx, and F. Cnossen, "Persuasive robotic assistant for health self-management of older adults: Design and evaluation of social behaviors," Int. J. Hum.-Comput. Stud., vol. 68, pp. 386--397, 2010.

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A. Tapus and M. J. Matarić, "Socially assistive robots: The link between personality, empathy, physiological signals, and task performance," in AAAI, 2007.

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Cited By

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Khan ICañamero L(2022)The Long-Term Efficacy of “Social Buffering” in Artificial Social Agents: Contextual Affective Perception MattersFrontiers in Robotics and AI10.3389/frobt.2022.6995739Online publication date: 15-Sep-2022
https://doi.org/10.3389/frobt.2022.699573
Dawe JSutherland CBarco ABroadbent E(2019)Can social robots help children in healthcare contexts? A scoping reviewBMJ Paediatrics Open10.1136/bmjpo-2018-0003713:1(e000371)Online publication date: 31-Jan-2019
https://doi.org/10.1136/bmjpo-2018-000371
Kruijff-Korbayova IOleari EBaroni IKiefer BZelati MPozzi CSanna A(2014)Effects of off-activity talk in human-robot interaction with diabetic childrenThe 23rd IEEE International Symposium on Robot and Human Interactive Communication10.1109/ROMAN.2014.6926326(649-654)Online publication date: Aug-2014
https://doi.org/10.1109/ROMAN.2014.6926326
Show More Cited By

Index Terms

Adapting robot behavior to user's capabilities: a dance instruction study
1. Applied computing
  1. Operations research
    1. Industry and manufacturing
      1. Command and control
2. Human-centered computing
  1. Human computer interaction (HCI)

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Information & Contributors

Information

Published In

HRI '11: Proceedings of the 6th international conference on Human-robot interaction

March 2011

526 pages

ISBN:9781450305617

DOI:10.1145/1957656

General Chairs:
Aude Billard
EPFL, Switzerland
,
Peter Kahn
University of Washington, USA
,
Program Chairs:
Julie A. Adams
Vanderbilt University, USA
,
Greg Trafton
US Naval Research Laboratories, USA

In-Cooperation

RA: IEEE Robotics and Automation Society
Human Factors & Ergonomics Soc: Human Factors & Ergonomics Soc
The Association for the Advancement of Artificial Intelligence (AAAI)
IEEE Systems, Man and Cybernetics Society

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 March 2011

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HRI'11

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HRI'11: International Conference on Human-Robot Interaction

March 6 - 9, 2011

Lausanne, Switzerland

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

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Cited By

View all

Khan ICañamero L(2022)The Long-Term Efficacy of “Social Buffering” in Artificial Social Agents: Contextual Affective Perception MattersFrontiers in Robotics and AI10.3389/frobt.2022.6995739Online publication date: 15-Sep-2022
https://doi.org/10.3389/frobt.2022.699573
Dawe JSutherland CBarco ABroadbent E(2019)Can social robots help children in healthcare contexts? A scoping reviewBMJ Paediatrics Open10.1136/bmjpo-2018-0003713:1(e000371)Online publication date: 31-Jan-2019
https://doi.org/10.1136/bmjpo-2018-000371
Kruijff-Korbayova IOleari EBaroni IKiefer BZelati MPozzi CSanna A(2014)Effects of off-activity talk in human-robot interaction with diabetic childrenThe 23rd IEEE International Symposium on Robot and Human Interactive Communication10.1109/ROMAN.2014.6926326(649-654)Online publication date: Aug-2014
https://doi.org/10.1109/ROMAN.2014.6926326
Ros RNalin MWood RBaxter PLooije RDemiris YBelpaeme TGiusti APozzi CBourlard HHuang TVidal EGatica-Perez DMorency LSebe N(2011)Child-robot interaction in the wildProceedings of the 13th international conference on multimodal interfaces10.1145/2070481.2070545(335-342)Online publication date: 14-Nov-2011
https://dl.acm.org/doi/10.1145/2070481.2070545

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