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 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 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

ASJC Scopus subject areas

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

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  • 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