SAM: The School Attachment Monitor

Vo, D.-B. , Rooksby, M. , Tayarani, M., Huan, R., Vinciarelli, A. , Minnis, H. and Brewster, S. A. (2017) SAM: The School Attachment Monitor. In: 2017 Conference on Interaction Design and Children (IDC '17), Stanford, CT, USA, 27-30 Jun 2017, pp. 671-674. ISBN 9781450349215 (doi: 10.1145/3078072.3091977)

143596.pdf - Accepted Version



Secure Attachment relationships have been shown to minimise social and behavioural problems in children and boosts resilience to risks later on such as antisocial behaviour, heart pathologies, and suicide. 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
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., Rooksby, M., Tayarani, M., Huan, R., Vinciarelli, A., Minnis, H., and Brewster, S. A.
College/School:College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Mental Health and Wellbeing
College of Science and Engineering > School of Computing Science
Publisher:ACM Press
Copyright Holders:Copyright © 2017 The Authors
First Published:First published in 2017 Conference on Interaction Design and Children (IDC '17): 671-674
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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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