2019
Alissa N. Antle, Elgin-Skye McLaren, Holly Fiedler, Naomi Johnson. 2019. Evaluating the Impact of a Mobile Neurofeedback App for Young Children at School and Home Proceedings Article . In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, CHI '19 Association for Computing Machinery, Glasgow, Scotland Uk, 1–13, .
Abstract | BibTeX | Tags: brain computer interfaces, children, field studies, hci for mental health, positive computing, self-regulation
@inproceedings{10.1145/3290605.3300266,
title = {Evaluating the Impact of a Mobile Neurofeedback App for Young Children at School and Home},
author = {Alissa N. Antle and Elgin-Skye McLaren and Holly Fiedler and Naomi Johnson},
url = {https://doi.org/10.1145/3290605.3300266},
doi = {10.1145/3290605.3300266},
isbn = {9781450359702},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems},
pages = {1–13},
publisher = {Association for Computing Machinery},
address = {Glasgow, Scotland Uk},
series = {CHI '19},
abstract = {About 18% of children in industrialized countries suffer from anxiety. We designed a mobile neurofeedback app, called Mind-Full, based on existing design guidelines. Our goal was for young children in lower socio-economic status schools to improve their ability to self-regulate anxiety by using Mind-Full. In this paper we report on quantitative outcomes from a sixteen-week field evaluation with 20 young children (aged 5 to 8). Our methodological contribution includes using a control group, validated measures of anxiety and stress, and assessing transfer and maintenance. Results from teacher and parent behavioral surveys indicated gains in children's ability to self-regulate anxiety at school and home; a decrease in anxious behaviors at home; and cortisol tests showed variable improvement in physiological stress levels. We contribute to HCI for mental health with evidence that it is viable to use a mobile app in lower socio-economic status schools to improve children's mental health.},
keywords = {brain computer interfaces, children, field studies, hci for mental health, positive computing, self-regulation},
pubstate = {published},
tppubtype = {inproceedings}
}
About 18% of children in industrialized countries suffer from anxiety. We designed a mobile neurofeedback app, called Mind-Full, based on existing design guidelines. Our goal was for young children in lower socio-economic status schools to improve their ability to self-regulate anxiety by using Mind-Full. In this paper we report on quantitative outcomes from a sixteen-week field evaluation with 20 young children (aged 5 to 8). Our methodological contribution includes using a control group, validated measures of anxiety and stress, and assessing transfer and maintenance. Results from teacher and parent behavioral surveys indicated gains in children's ability to self-regulate anxiety at school and home; a decrease in anxious behaviors at home; and cortisol tests showed variable improvement in physiological stress levels. We contribute to HCI for mental health with evidence that it is viable to use a mobile app in lower socio-economic status schools to improve children's mental health.