Child Engagement Estimation in Heterogeneous Child-Robot Interactions Using Spatiotemporal Visual Cues
Authors: Papaeliou, Christina 
Maragos, P. 
Efthymiou, Niki 
Anagnostopoulou, Dafni 
Issue Date: 1-Jan-2022
Conference: 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 23-27 Oct. 2022, Detroit, USA 
Book: Proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 
Volume: 2022-October
Abstract: 
Robots are increasingly introduced in various Child-Robot Interactions with educational, entertainment or even therapeutic goals. In order to achieve qualitative inter-actions, robots need to adjust their behavior according to children's response. A robot's ability to successfully estimate partner's engagement is of great importance towards this direction. In this research we propose a method to estimate the engagement level of children during heterogeneous and challenging child-robot interactions. Our method uses the spatiotemporal residual R(2+1)D blocks to simultaneously leverage the rich RGB and temporal information, which is crucial for the engagement estimation. We present results on three different groups of data, including the PInSoRo open dataset, proving our method's robustness and improvement over previous works.
ISBN: 9781665479271
ISSN: 21530866
21530858
DOI: 10.1109/IROS47612.2022.9981908
URI: https://uniwacris.uniwa.gr/handle/3000/1596
Type: Conference Paper
Department: Department of Early Childhood Education and Care 
School: School of Administrative, Economics and Social Sciences 
Affiliation: University of West Attica (UNIWA) 
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου

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