Hand in Hand: Tools and techniques for understanding children's touch with a social robot
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Author(s)
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
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Christchurch, New Zealand
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Abstract
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.
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2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
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Artificial intelligence
Psychology
Sociology and social studies of science and technology
children
Computer Science
Computer Science, Cybernetics
ethnodroid
field study
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Hensby, K; Wiles, J; Boden, M; Heath, S; Nielsen, M; Pounds, P; Riddell, J; Rogers, K; Rybak, N; Slaughter, V; Smith, M; Taufatofua, J; Worthy, P; Weigel, J, Hand in Hand: Tools and techniques for understanding children's touch with a social robot, 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2016, 2016-April, pp. 437-438