Social Robotics
Social Robotics
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社交机器人
DOI：
10.1007/978-3-319-70022-9_19
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
McKenna P
中科院分区：
文献类型：
--
作者：
McKenna P
本文讨论了一个广泛的年龄范围的神经典型样本（N77）的初步工作，在社会信号识别与自闭症谱系障碍的高功能成年人的训练系统。概述是一个原则性的设计fourrapprovalandfourdisapprovalfacial表情的EMYS机器人头和方法，并进行了试点研究“在野外”，测试用户识别这些表情。结果表明，承认不同的八个表情，与一些表情被认为是模棱两可的，一个批准的表情不赞成。表达类型，排序效果，年龄，和研究前的培训被确定为重要的问题。
This paper discusses initial work with a broad age range neuro-typical sample (N77), towards a training system in social signal recognition for high-functioning adults with an Autism Spectrum Disorder. Outlined is a principled design of fourapprovaland fourdisapprovalfacial expressions for the EMYS robot head and the method and conduct of a pilot study ‘in the wild’, testing user recognition of these expressions. Results showed that recognition varied over the eight expressions, with some expressions perceived as ambiguous and one approval expression as disapproval. Expression type, ordering effects, age, and pre-study training are identified as important issues.