Human factors engineering for mobile health applications

Chad Snyder, Jennifer Blain Christen, Heather M. Ross

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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 languageEnglish (US)
Title of host publication2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages14-17
Number of pages4
Volume2017-December
ISBN (Electronic)9781538613924
DOIs
StatePublished - Dec 19 2017
Event2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017 - Bethesda, United States
Duration: Nov 6 2017Nov 8 2017

Other

Other2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017
CountryUnited States
CityBethesda
Period11/6/1711/8/17

Fingerprint

asthma
Mobile Applications
human factors engineering
Human Engineering
Telemedicine
Human engineering
health
Asthma
childhood
air
engineering
air pollution
Air Pollution
Air
available information
attack
Gages
Pollution
parents
Parents

ASJC Scopus subject areas

  • Health Informatics
  • Instrumentation
  • Health(social science)
  • Biomedical Engineering

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 (Vol. 2017-December, pp. 14-17). 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. Vol. 2017-December Institute of Electrical and Electronics Engineers Inc., 2017. p. 14-17.

Research output: Chapter in Book/Report/Conference proceedingConference 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. 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
Snyder C, Blain Christen J, Ross HM. Human factors engineering for mobile health applications. In 2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017. Vol. 2017-December. Institute of Electrical and Electronics Engineers Inc. 2017. p. 14-17 https://doi.org/10.1109/HIC.2017.8227573
Snyder, Chad ; Blain Christen, Jennifer ; Ross, Heather M. / Human factors engineering for mobile health applications. 2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017. Vol. 2017-December Institute of Electrical and Electronics Engineers Inc., 2017. pp. 14-17
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