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  4. PREC 2019: Personal Robots for Exercising and Coaching
 
conference paper

PREC 2019: Personal Robots for Exercising and Coaching

Schneider, Sebastian
•
Cifuentes, Carlos A.
•
Munera, Marcela
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January 1, 2019
Hri '19: 2019 14Th Acm/Ieee International Conference On Human-Robot Interaction
14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

Exercising is strongly recommended for prevention and treatment of pathologies with high prevalence such as cardiovascular diseases, cancer, and diabetes. The World Health Organization (WHO) states that insufficient physical activity is one of the leading risk factors for death worldwide. The decrease of physical activity in our society is not just an individual problem but it is influenced by a variety of environmental and social factors. Hence, it is important to target this issue from a multi perspective and interdisciplinary point of view. This full-day workshop will offer a forum for researchers from a variety of backgrounds to discuss the potentials and limitations of using social robots to promote physical activity.

  • Details
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Type
conference paper
DOI
10.1109/HRI.2019.8673217
Web of Science ID

WOS:000467295400153

Author(s)
Schneider, Sebastian
Cifuentes, Carlos A.
Munera, Marcela
Ozgur, Arzu Guneysu  
Griffiths, Sascha
Date Issued

2019-01-01

Publisher

IEEE

Publisher place

New York

Published in
Hri '19: 2019 14Th Acm/Ieee International Conference On Human-Robot Interaction
ISBN of the book

978-1-5386-8555-6

Series title/Series vol.

ACM IEEE International Conference on Human-Robot Interaction

Start page

679

End page

680

Subjects

Engineering, Electrical & Electronic

•

Robotics

•

Engineering

•

Robotics

•

physical-activity

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CHILI  
Event nameEvent placeEvent date
14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

Daegu, SOUTH KOREA

Mar 11-14, 2019

Available on Infoscience
June 18, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/157469
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