University of Hertfordshire

By the same authors

SAM: the school attachment monitor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Dong-Bach Vo
  • Mohammad Tayarani
  • Maki Rooksby
  • Rui Huan
  • Alessandro Vinciarelli
  • Helen Minnis
  • Stehen A. Brewster
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Original languageEnglish
Title of host publicationICMI '17: Proceedings of the 19th ACM International Conference on Multimodal Interaction
PublisherACM Digital Library
Number of pages2
DOIs
Publication statusPublished - 3 Nov 2017

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.

Notes

© 2017 Association for Computing Machinery.

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