Hand in hand: tools and techniques for understanding children's touch with a social robot

Hensby, Kristyn, Wiles, Janet, Boden, Marie, Heath, Scott, Nielsen, Mark, Pounds, Paul, Riddell, Joshua, Rogers, Kristopher, Rybak, Nikodem, Slaughter, Virginia, Smith, Michael, Taufatofua, Jonathon, Worthy, Peter and Weigel, Jason (2016). Hand in hand: tools and techniques for understanding children's touch with a social robot. In: HRI 2016 - 11th ACM/IEEE International Conference on Human Robot Interaction. 11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016, Christchurch, New Zealand, (437-438). 7-10 March 2016. doi:10.1109/HRI.2016.7451794


Author Hensby, Kristyn
Wiles, Janet
Boden, Marie
Heath, Scott
Nielsen, Mark
Pounds, Paul
Riddell, Joshua
Rogers, Kristopher
Rybak, Nikodem
Slaughter, Virginia
Smith, Michael
Taufatofua, Jonathon
Worthy, Peter
Weigel, Jason
Title of paper Hand in hand: tools and techniques for understanding children's touch with a social robot
Conference name 11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016
Conference location Christchurch, New Zealand
Conference dates 7-10 March 2016
Convener IEEE
Proceedings title HRI 2016 - 11th ACM/IEEE International Conference on Human Robot Interaction
Journal name 2016 11Th Acm/ieee International Conference On Human-Robot Interaction (Hri)
Place of Publication Piscataway, NJ, United States
Publisher IEEE Computer Society
Publication Year 2016
Year available 2016
Sub-type Fully published paper
DOI 10.1109/HRI.2016.7451794
Open Access Status Not Open Access
ISBN 9781467383707
ISSN 2167-2148
Volume 2016-April
Start page 437
End page 438
Total pages 2
Collection year 2017
Language eng
Abstract/Summary Robots that facilitate touch by children have special requirements in terms of safety and robustness, but little is known about how and when children actually use touch with robots. Tools and techniques are required to sense the variety of children's touch and to interpret the volumes of data generated. This explorative user study investigated children's patterns of touch during game play with a robot. We examined where the children touch the robot and their patterns of touch over time, using a raster-based visualisation of each child's time series of touches, recording patterns of touch across different games and children. We found that children readily engage with the robot, in particular spontaneously touching the robot's hands more than any other area. This user study and the tools developed may aid future designs of robots to autonomously detect when they have been touched.
Keyword Children
Ethnodroid
Field study
OPAL project
Robots
Touch
Visualisation
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status UQ

 
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