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Published in:
2014 | OriginalPaper | Chapter
Which Avatars Comfort Children?
Authors : Judit Bényei, Anikó Illés, Gabriella Pataky, Zsófia Ruttkay, Andrea Schmidt
Published in: Recent Advances of Neural Network Models and Applications
Publisher: Springer International Publishing
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In this paper we give an account of an empirical study related to avatar selection, whose purpose is to comfort children in the context of the TERENCE learning application. We investigated what Hungarian children of ages 6-11 like to play with, what stories they like to read, and what avatars – out of a selection of nine different designs – they like best. We found a statistically relevant correlation between age, gender, and the participants’ expertise and habits as regards ICT tools. Our studies thus provided relevant information on how to design avatars for this special age group, taking gender equality into consideration and increasingly subjective well-being in order to motivate learning.