University of Hertfordshire

By the same authors

SAM: the school attachment monitor

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

Standard

SAM: the school attachment monitor. / Vo, Dong-Bach; Tayarani, Mohammad; Rooksby, Maki; Huan, Rui; Vinciarelli , Alessandro; Minnis, Helen; Brewster, Stehen A. .

ICMI '17: Proceedings of the 19th ACM International Conference on Multimodal Interaction. ACM Digital Library, 2017.

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

Harvard

Vo, D-B, Tayarani, M, Rooksby, M, Huan, R, Vinciarelli , A, Minnis, H & Brewster, SA 2017, SAM: the school attachment monitor. in ICMI '17: Proceedings of the 19th ACM International Conference on Multimodal Interaction. ACM Digital Library. https://doi.org/10.1145/3136755.3143023

APA

Vo, D-B., Tayarani, M., Rooksby, M., Huan, R., Vinciarelli , A., Minnis, H., & Brewster, S. A. (2017). SAM: the school attachment monitor. In ICMI '17: Proceedings of the 19th ACM International Conference on Multimodal Interaction ACM Digital Library. https://doi.org/10.1145/3136755.3143023

Vancouver

Vo D-B, Tayarani M, Rooksby M, Huan R, Vinciarelli A, Minnis H et al. SAM: the school attachment monitor. In ICMI '17: Proceedings of the 19th ACM International Conference on Multimodal Interaction. ACM Digital Library. 2017 https://doi.org/10.1145/3136755.3143023

Author

Vo, Dong-Bach ; Tayarani, Mohammad ; Rooksby, Maki ; Huan, Rui ; Vinciarelli , Alessandro ; Minnis, Helen ; Brewster, Stehen A. . / SAM: the school attachment monitor. ICMI '17: Proceedings of the 19th ACM International Conference on Multimodal Interaction. ACM Digital Library, 2017.

Bibtex

@inproceedings{7d02cf049ff245cda58965573cf0d3df,
title = "SAM: the school attachment monitor",
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.",
author = "Dong-Bach Vo and Mohammad Tayarani and Maki Rooksby and Rui Huan and Alessandro Vinciarelli and Helen Minnis and Brewster, {Stehen A.}",
note = "{\textcopyright} 2017 Association for Computing Machinery.",
year = "2017",
month = nov,
day = "3",
doi = "10.1145/3136755.3143023",
language = "English",
booktitle = "ICMI '17: Proceedings of the 19th ACM International Conference on Multimodal Interaction",
publisher = "ACM Digital Library",

}

RIS

TY - GEN

T1 - SAM: the school attachment monitor

AU - Vo, Dong-Bach

AU - Tayarani, Mohammad

AU - Rooksby, Maki

AU - Huan, Rui

AU - Vinciarelli , Alessandro

AU - Minnis, Helen

AU - Brewster, Stehen A.

N1 - © 2017 Association for Computing Machinery.

PY - 2017/11/3

Y1 - 2017/11/3

N2 - 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.

AB - 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.

U2 - 10.1145/3136755.3143023

DO - 10.1145/3136755.3143023

M3 - Conference contribution

BT - ICMI '17: Proceedings of the 19th ACM International Conference on Multimodal Interaction

PB - ACM Digital Library

ER -