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SAM: the school attachment monitor

Published:03 November 2017Publication History

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.

References

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  6. Helen Minnis, Reuben Millward, Claire Sinclair, Eilis Kennedy, Anne Greig, Kate Towlson, Warren Read, and Jonathan Hill. 2006. The Computerized MacArthur Story Stem Battery âĂŞ a pilot study of a novel medium for assessing children’s representations of relationships. International Journal of Methods in Psychiatric Research 15, 4 (2006), 207–214. Abstract 1 Introduction 2 The School Attachment Monitor 3 SAM Demonstration Acknowledgments ReferencesGoogle ScholarGoogle ScholarCross RefCross Ref

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    • Published in

      cover image ACM Conferences
      ICMI '17: Proceedings of the 19th ACM International Conference on Multimodal Interaction
      November 2017
      676 pages
      ISBN:9781450355438
      DOI:10.1145/3136755

      Copyright © 2017 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 3 November 2017

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      • short-paper

      Acceptance Rates

      ICMI '17 Paper Acceptance Rate65of149submissions,44%Overall Acceptance Rate453of1,080submissions,42%

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