Print Email Facebook Twitter Personalising game difficulty to keep children motivated to play with a social robot: A Bayesian approach Title Personalising game difficulty to keep children motivated to play with a social robot: A Bayesian approach Author Schadenberg, B.R. Neerincx, M.A. Cnossen, F. Looije, R. Publication year 2016 Abstract For effective child education, playing games with a social robot should be motivating for a longer period of time. One aspect that can affect the motivation of a child is the difficulty of a game. The game should be perceived as challenging, while at the same time, the child should be confident to meet the challenge. We designed a user modelling module that adapts the difficulty of a game to the child’s skill level, in order to provide children with the optimal challenge. This module applies a Bayesian rating method that estimates the child’s skill and game item’s difficulty levels to personalise the game progress. In an experiment with 22 children (aged between 10 and 12 years old), we tested whether the personalisation leads to a higher motivation to play with the robot. Although the personalised system did not challenge the participants optimally, this study shows that the Bayesian rating system is in principle able to measure the skill and performance of children in playing a game with a robot (even without accurate estimates of the difficulty of items). We outline multiple ways in which the rating method and module can be used to further personalise and enhance the child-robot interaction, other than adapting the difficulty of games (e.g. by adapting the dialogue and feedback). Subject Human & Operational ModellingPCS - Perceptual and Cognitive SystemsELSS - Earth, Life and Social SciencesSociologyHealthy LivingChild-robot interactionMotivationRating systemSocial roboticsUser modeling To reference this document use: http://resolver.tudelft.nl/uuid:fc2f5656-3604-4b70-a4f3-6c36f890dabd DOI https://doi.org/10.1016/j.cogsys.2016.08.003 TNO identifier 574766 Source Cognitive Systems Research Bibliographical note In press, corrected proof Document type article Files To receive the publication files, please send an e-mail request to TNO Library.