Title
Quantifying patterns of joint attention during human-robot interactions: An application for autism spectrum disorder assessment
Abstract
•We explore Joint Attention by introducing a set of behavioural metrics based on RGB-D data analysis.•We elicit Joint Attention through the use of a small humanoid robot.•We assess these metrics by comparing the behaviour of 42 ASD children with 16 TD children.•We highlight significant differences between these two groups.•We also qualitatively assess a subgroup of 14 children with ASD after 6-month of JA training.
Year
DOI
Venue
2019
10.1016/j.patrec.2018.03.007
Pattern Recognition Letters
Keywords
Field
DocType
Social robotics,Autism spectrum disorder,Behavioural analysis
Perception system,Social robot,Computer vision,Joint attention,Head movements,Cognitive psychology,Artificial intelligence,Autism spectrum disorder,Robot,Mathematics,Human–robot interaction,Humanoid robot
Journal
Volume
ISSN
Citations 
118
0167-8655
2
PageRank 
References 
Authors
0.39
10
8
Name
Order
Citations
PageRank
Salvatore Maria Anzalone110411.02
J. Xavier2151.97
Sofiane Boucenna313811.16
Lucia Billeci4194.92
Antonio Narzisi5544.64
Filippo Muratori6676.16
David Cohen7727.29
Mohamed Chetouani859059.47