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Holly Fiedler

dblp:237/7657 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Health and well-being technologies · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Health and well-being technologies › mental health technology
anxiety self-regulation
0.412019
Evaluating the Impact of a Mobile Neurofeedback App for Young Children at School and Home · CHI 2019
Health and well-being technologies
mental health technology
0.412019
Evaluating the Impact of a Mobile Neurofeedback App for Young Children at School and Home · CHI 2019
Health and well-being technologies › mental health
child mental health
0.112019
Evaluating the Impact of a Mobile Neurofeedback App for Young Children at School and Home · CHI 2019

Methods — techniques the papers use, named apart from their topics

field evaluation · 0.4cortisol measurement · 0.4control group · 0.4
YearPublicationVenuePosition
2019 Evaluating the Impact of a Mobile Neurofeedback App for Young Children at School and Home
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.
Alissa Nicole Antle, Elgin-Skye McLaren, Holly Fiedler, Naomi Johnson
CHI3
2019 Design for Mental Health: How Socio-Technological Processes Mediate Outcome Measures in a Field Study of a Wearable Anxiety App
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.
Alissa Nicole Antle, Elgin-Skye McLaren, Holly Fiedler, Naomi Johnson
TEI3