SAM: The School Attachment Monitor

Vo, D.-B., Tayarani, M., Rooksby, M. , Huan, R., Vinciarelli, A. , Minnis, H. and Brewster, S. A. (2017) SAM: The School Attachment Monitor. In: 19th ACM International Conference on Multimodal Interaction (ICMI 2017), Glasgow, Scotland, 13-17 Nov 2017, pp. 497-498. ISBN 9781450355438 (doi:10.1145/3136755.3143023)

Vo, D.-B., Tayarani, M., Rooksby, M. , Huan, R., Vinciarelli, A. , Minnis, H. and Brewster, S. A. (2017) SAM: The School Attachment Monitor. In: 19th ACM International Conference on Multimodal Interaction (ICMI 2017), Glasgow, Scotland, 13-17 Nov 2017, pp. 497-498. ISBN 9781450355438 (doi:10.1145/3136755.3143023)

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Abstract

Secure Attachment relationships have been shown to minimise social and behavioural problems in children and boosts resilience to risks such as antisocial behaviour, heart pathologies, and suicide later in life. Attachment assessment is an expensive and time-consuming process that is not often performed. The School Attachment Monitor (SAM) automates Attachment assessment to support expert assessors. It uses doll-play activities with the dolls augmented with sensors and the child's play recorded with cameras to provide data for assessment. Social signal processing tools are then used to analyse the data and to automatically categorize Attachment patterns. This paper presents the current SAM interactive prototype.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Minnis, Professor Helen and Brewster, Professor Stephen and Vinciarelli, Professor Alessandro and Rooksby, Dr Maki and Vo, Dr Dong-Bach and Huan, Rui and Tayarani, Dr Mohammad
Authors: Vo, D.-B., Tayarani, M., Rooksby, M., Huan, R., Vinciarelli, A., Minnis, H., and Brewster, S. A.
College/School:College of Medical Veterinary and Life Sciences > Institute of Health and Wellbeing > Mental Health and Wellbeing
College of Science and Engineering > School of Computing Science
Journal Name:Proceedings of the 19th ACM International Conference on Multimodal Interaction - ICMI 2017
Publisher:ACM Press
ISBN:9781450355438
Copyright Holders:Copyright © 2017 Association for Computing Machinery
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
683651"SAM: Automated Attachment Analysis Using the School Attachment Monitor "Stephen BrewsterEngineering and Physical Sciences Research Council (EPSRC)EP/M025055/1COM - COMPUTING SCIENCE