Using electrodermal activity to recognize ease of engagement in children during social interactions
Name
Picard_Using electrodermal.pdf
Size
6.78 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Riobo, Ivan
Rozga, Agata
Abowd, Gregory D.
Picard, Rosalind W.
Hernandez Rivera, Javier
Date Issued
September 2014
Journal
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing - UbiComp '14 Adjunct
Publisher
Association for Computing Machinery (ACM)
Citation
Hernandez, Javier et al. “Using Electrodermal Activity to Recognize Ease of Engagement in Children during Social Interactions.” ACM Press, 2014. 307–317.
Version
Author's final manuscript
Abstract
The recent emergence of comfortable wearable sensors has focused almost entirely on monitoring physical activity, ignoring opportunities to monitor more subtle phenomena, such as the quality of social interactions. We argue that it is compelling to address whether physiological sensors can shed light on quality of social interactive behavior. This work leverages the use of a wearable electrodermal activity (EDA) sensor to recognize ease of engagement of children during a social interaction with an adult. In particular, we monitored 51 child-adult dyads in a semi-structured play interaction and used Support Vector Machines to automatically identify children who had been rated by the adult as more or less difficult to engage. We report on the classification value of several features extracted from the child's EDA responses, as well as several other features capturing the physiological synchrony between the child and the adult.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2632048.2636065
