Human factors engineering for mobile health applications

Chad Snyder; Jennifer Blain Christen; Heather M. Ross

doi:10.1109/HIC.2017.8227573

Human factors engineering for mobile health applications

Chad Snyder, Jennifer Blain Christen, Heather M. Ross

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Childhood asthma has effectively doubled since 1980 and currently affects about 8% of the U.S. childhood population. Efficiently analyzing quality of air data, which would ultimately improve the information available to parents with children suffering from asthma, is crucial to reduce the likelihood of a serious attack. In order to accomplish this task, the use of low-cost, wearable, environmental sensors contribute to construct a live 'air-care' pollution map. Creating an alpha prototype application to gauge how well participants interact with and interpret healthcare information utilizing a 'Wizard of Oz' paradigm becomes an important component in the research.

Original language	English (US)
Title of host publication	2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	14-17
Number of pages	4
ISBN (Electronic)	9781538613924
DOIs	https://doi.org/10.1109/HIC.2017.8227573
State	Published - Dec 19 2017
Event	2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017 - Bethesda, United States Duration: Nov 6 2017 → Nov 8 2017

Publication series

Name	2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017
Volume	2017-December

Other

Other	2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017
Country/Territory	United States
City	Bethesda
Period	11/6/17 → 11/8/17

ASJC Scopus subject areas

Health Informatics
Instrumentation
Health(social science)
Biomedical Engineering

Access to Document

10.1109/HIC.2017.8227573

Cite this

Snyder, C., Blain Christen, J., & Ross, H. M. (2017). Human factors engineering for mobile health applications. In 2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017 (pp. 14-17). (2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017; Vol. 2017-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HIC.2017.8227573

Human factors engineering for mobile health applications. / Snyder, Chad; Blain Christen, Jennifer; Ross, Heather M.
2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 14-17 (2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017; Vol. 2017-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Snyder, C, Blain Christen, J & Ross, HM 2017, Human factors engineering for mobile health applications. in 2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017. 2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017, vol. 2017-December, Institute of Electrical and Electronics Engineers Inc., pp. 14-17, 2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017, Bethesda, United States, 11/6/17. https://doi.org/10.1109/HIC.2017.8227573

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abstract = "Childhood asthma has effectively doubled since 1980 and currently affects about 8% of the U.S. childhood population. Efficiently analyzing quality of air data, which would ultimately improve the information available to parents with children suffering from asthma, is crucial to reduce the likelihood of a serious attack. In order to accomplish this task, the use of low-cost, wearable, environmental sensors contribute to construct a live 'air-care' pollution map. Creating an alpha prototype application to gauge how well participants interact with and interpret healthcare information utilizing a 'Wizard of Oz' paradigm becomes an important component in the research.",

author = "Chad Snyder and {Blain Christen}, Jennifer and Ross, {Heather M.}",

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Human factors engineering for mobile health applications

Abstract

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ASJC Scopus subject areas

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