共同注意
自闭症谱系障碍
接头(建筑物)
机器人
自闭症
心理学
社会关系
光谱(功能分析)
认知心理学
人机交互
计算机科学
发展心理学
人工智能
社会心理学
工程类
物理
量子力学
建筑工程
作者
Wei Cao,Wenxu Song,Xinge Li,Sixiao Zheng,Ge Zhang,Yanting Wu,Sailing He,Huilin Zhu,Jiajia Chen
出处
期刊:Cornell University - arXiv
日期:2018-01-01
被引量:1
标识
DOI:10.48550/arxiv.1803.01325
摘要
This research addressed whether interactions with social robots could facilitate joint attention of the autism spectrum disorder (ASD). Two conditions of initiators, namely 'Human' vs. 'Robot' were measured with 15 children with ASD and 15 age-matched typically developing (TD) children. Apart from fixation and gaze transition, a new longest common subsequence (LCS) approach was proposed to analyze eye-movement traces. Results revealed that children with ASD showed deficits of joint attention. Compared to the human agent, robot facilitate less fixations towards the targets, but it attracted more attention and allowed the children to show gaze transition and to follow joint attention logic. This results highlight both potential application of LCS analysis on eye-tracking studies and of social robot to intervention.
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