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Charlie A. Albright

dblp:163/5044 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 1

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
Wearable and physiological sensing · 56% Health and well-being technologies · 44%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › vital sign monitoring
breathing sensing
0.212016
Design and learnability of vortex whistles for managing chronic lung function via smartphones · UbiComp 2016
Health and well-being technologies › pulmonary function monitoring
spirometry
0.212016
Design and learnability of vortex whistles for managing chronic lung function via smartphones · UbiComp 2016

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

human subjects trial · 0.23d printing · 0.2
YearPublicationVenuePosition
2016 Design and learnability of vortex whistles for managing chronic lung function via smartphones
abstract
Spirometry is the gold standard for managing and diagnosing obstructive lung diseases. Clinical spirometers, however, are expensive and have limited portability. Vortex whistles have shown promise as a potential substitute for clinical spirometers. While vortex whistles are low-cost and are highly portable, only a subset of common spirometry measurements can be measured reliably. Moreover, no research studies have evaluated characteristics of human interaction with vortex whistles, such as maneuver learnability and mental effort. We present a modified 3D-printed vortex whistle design that enables estimation of spirometry measures not previously attainable with traditional vortex whistles. We evaluate the whistle using a pulmonary waveform generator (a commercial standard) and map parameters of the whistle construction to spirometry test endpoints. Through a human subjects trial we evaluate how to personalize whistle parameters for different subjects and assess cognitive workload while using a vortex whistle. We show that, with personalization, vortex whistles are as effective as clinical spirometers for identifying moderate airway obstruction and require similar cognitive load to use.
Spencer A. Kaiser, Ashley Parks, Patrick Leopard, Charlie A. Albright, Jake Carlson, Mayank Goel, Damoun Nassehi, Eric C. Larson
UbiComp4