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 |
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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 > School of Health & 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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