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Personalizing User Engagement Dynamics in a Non-Verbal Communication Game for Cerebral Palsy

机译:用于脑瘫的非言语通信游戏中的个性化用户参与动态

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Children and adults with cerebral palsy (CP) can have involuntary upper limb movements as a consequence of the symptoms that characterize their motor disability, leading to difficulties in communicating with caretakers and peers. We describe how a socially assistive robot may help individuals with CP to practice non-verbal communicative gestures using an active orthosis in a one-on-one number-guessing game. We performed a user study and data collection with participants with CP; we found that participants preferred an embodied robot over a screen-based agent, and we used the participant data to train personalized models of participant engagement dynamics that can be used to select personalized robot actions. Our work highlights the benefit of personalized models in the engagement of users with CP with a socially assistive robot and offers design insights for future work in this area.
机译:脑瘫(CP)的儿童和成人可以在表征其运动残疾的症状的结果中具有非自愿的上肢运动,导致与看护人和同龄人沟通困难。 我们描述了社会辅助机器人如何帮助CP的个人在一对一的数字猜测游戏中使用活跃的矫形器来练习非口头交际手势。 我们使用CP的参与者执行了用户学习和数据收集; 我们发现参与者首选通过基于屏幕的代理商的一个体现机器人,并且我们使用参与者数据来培训可用于选择个性化机器人操作的参与者参与动态的个性化模型。 我们的工作突出了个性化模型在与社会辅助机器人的用户参与中的利益,并为未来工作中的设计见解。

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