<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Lewis, Matthew</style></author><author><style face="normal" font="default" size="100%">Lola Cañamero</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Robin: An Autonomous Robot for Diabetic Children</style></title><secondary-title><style face="normal" font="default" size="100%">Proc. UK-RAS Conference: 'Robots Working For &amp; Among Us', 2017</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><pub-location><style face="normal" font="default" size="100%">Bristol, UK</style></pub-location><pages><style face="normal" font="default" size="100%">13–15</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We describe the cognitively and motivationally autonomous robot toddler Robin, designed as a tool to help children learn about diabetes management. The design of Robin follows an Embodied Artificial Intelligence approach to robotics, to create a robust social interaction agent, friendly but independent. We have used Robin in autonomous interactions with diabetic children in a scenario designed to give them mastery experiences of diabetes management in order to increase their self-efficacy.</style></abstract><notes><style face="normal" font="default" size="100%">Winner: 1st Prize, Best Paper
&lt;a href=&quot;http://www.emotion-modeling.info/sites/default/files/UK-RAS_2017_Robin_proceedings.pdf&quot;&gt;Download&lt;/a&gt;</style></notes></record></records></xml>