2019
Alissa N. Antle, Elgin Skye McLaren, Holly Fiedler, Naomi Johnson. 2019. Design for Mental Health: How Socio-Technological Processes Mediate Outcome Measures in a Field Study of a Wearable Anxiety App Proceedings Article . In Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction, TEI '19 Association for Computing Machinery, Tempe, Arizona, USA, 87–96, .
Abstract | BibTeX | Tags: Brain-computer interfaces, children, emotion-regulation, learning, mental health., socio-technological studies
@inproceedings{10.1145/3294109.3295650,
title = {Design for Mental Health: How Socio-Technological Processes Mediate Outcome Measures in a Field Study of a Wearable Anxiety App},
author = {Alissa N. Antle and Elgin Skye McLaren and Holly Fiedler and Naomi Johnson},
url = {https://doi.org/10.1145/3294109.3295650},
doi = {10.1145/3294109.3295650},
isbn = {9781450361965},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction},
pages = {87–96},
publisher = {Association for Computing Machinery},
address = {Tempe, Arizona, USA},
series = {TEI '19},
abstract = {Millions of children have challenges with anxiety that negatively impact their development, education and well-being. To address this challenge, we developed version 2.0 of Mind-Full, a wearable, mobile neurofeedback system, designed to teach young children to learn to self-regulate anxiety. We present a mixed methods evaluation of a seven week long intervention in schools. We report on a subset of outcome measures related to 10 children's anxiety and stress in the classroom and describe mediating socio-technological processes that may have impacted outcomes. Findings showed improvement in children's ability to self-regulate anxiety and reduced cortisol levels for some children. Qualitative findings suggested that children who made multimodal connections during system mediated learning and had teacher support for learning transfer responded well to the intervention. We suggest that framing mental health app design as a distributed, adaptive, socio-technological system enables designers to better meet individual's unique and changing mental health needs.},
keywords = {Brain-computer interfaces, children, emotion-regulation, learning, mental health., socio-technological studies},
pubstate = {published},
tppubtype = {inproceedings}
}
Millions of children have challenges with anxiety that negatively impact their development, education and well-being. To address this challenge, we developed version 2.0 of Mind-Full, a wearable, mobile neurofeedback system, designed to teach young children to learn to self-regulate anxiety. We present a mixed methods evaluation of a seven week long intervention in schools. We report on a subset of outcome measures related to 10 children's anxiety and stress in the classroom and describe mediating socio-technological processes that may have impacted outcomes. Findings showed improvement in children's ability to self-regulate anxiety and reduced cortisol levels for some children. Qualitative findings suggested that children who made multimodal connections during system mediated learning and had teacher support for learning transfer responded well to the intervention. We suggest that framing mental health app design as a distributed, adaptive, socio-technological system enables designers to better meet individual's unique and changing mental health needs.
2018
Alissa N. Antle, Leslie Chesick, Elgin-Skye Mclaren. 2018. Opening up the Design Space of Neurofeedback Brain--Computer Interfaces for Children Journal Article . In ACM Trans. Comput.-Hum. Interact., vol. 24, no. 6, 2018, ISSN: 1073-0516.
Abstract | BibTeX | Tags: Brain-computer interfaces, children, conceptual framework, design, mental health, self-regulation, strong concepts
@article{10.1145/3131607,
title = {Opening up the Design Space of Neurofeedback Brain--Computer Interfaces for Children},
author = {Alissa N. Antle and Leslie Chesick and Elgin-Skye Mclaren},
url = {https://doi.org/10.1145/3131607},
doi = {10.1145/3131607},
issn = {1073-0516},
year = {2018},
date = {2018-01-01},
journal = {ACM Trans. Comput.-Hum. Interact.},
volume = {24},
number = {6},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
abstract = {Brain--computer interface applications (BCIs) utilizing neurofeedback (NF) can make invisible brain states visible in real time. Learning to recognize, modify, and regulate brain states is critical to all children's development and can improve learning, and emotional and mental health outcomes. How can we design usable and effective NF BCIs that help children learn and practice brain state self-regulation? Our contribution is a list of challenges for this emerging design space and a conceptual framework that addresses those challenges. The framework is composed of five interrelated strong concepts that we adapted from other design spaces. We derived the concepts reflectively, theoretically, and empirically through a design research process in which we created and evaluated a NF BCI, called Mind-Full, designed to help children living in Nepal who had suffered from complex trauma learn to self-regulate anxiety and attention. We add rigor to our derivation methodology by horizontally and vertically grounding our concepts, that is, relating them to similar concepts in the literature and instantiations in other artifacts. We illustrate the generative power of the concepts and the inter-relationships between them through the description of two new NF BCIs we created using the framework for urban and indigenous children with anxiety and attentional challenges. We then show the versatility of our framework by describing how it inspired and informed the conceptual design of three NF BCIs for different types of self-regulation: selective attention and working memory, pain management, and depression. Last, we discuss the contestability, defensibility, and substantiveness of our conceptual framework in order to ensure rigor in our research design process. Our contribution is a rigorously derived design framework that opens up this new and emerging design space of NF BCI's for children for other researchers and designers.},
keywords = {Brain-computer interfaces, children, conceptual framework, design, mental health, self-regulation, strong concepts},
pubstate = {published},
tppubtype = {article}
}
Brain--computer interface applications (BCIs) utilizing neurofeedback (NF) can make invisible brain states visible in real time. Learning to recognize, modify, and regulate brain states is critical to all children's development and can improve learning, and emotional and mental health outcomes. How can we design usable and effective NF BCIs that help children learn and practice brain state self-regulation? Our contribution is a list of challenges for this emerging design space and a conceptual framework that addresses those challenges. The framework is composed of five interrelated strong concepts that we adapted from other design spaces. We derived the concepts reflectively, theoretically, and empirically through a design research process in which we created and evaluated a NF BCI, called Mind-Full, designed to help children living in Nepal who had suffered from complex trauma learn to self-regulate anxiety and attention. We add rigor to our derivation methodology by horizontally and vertically grounding our concepts, that is, relating them to similar concepts in the literature and instantiations in other artifacts. We illustrate the generative power of the concepts and the inter-relationships between them through the description of two new NF BCIs we created using the framework for urban and indigenous children with anxiety and attentional challenges. We then show the versatility of our framework by describing how it inspired and informed the conceptual design of three NF BCIs for different types of self-regulation: selective attention and working memory, pain management, and depression. Last, we discuss the contestability, defensibility, and substantiveness of our conceptual framework in order to ensure rigor in our research design process. Our contribution is a rigorously derived design framework that opens up this new and emerging design space of NF BCI's for children for other researchers and designers.