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 |
| Volume | 2017-December |
| ISBN (Electronic) | 9781538613924 |
| DOIs | |
| 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 |
Other
| Other | 2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017 |
|---|---|
| Country | United States |
| City | Bethesda |
| Period | 11/6/17 → 11/8/17 |
Fingerprint
ASJC Scopus subject areas
- Health Informatics
- Instrumentation
- Health(social science)
- Biomedical Engineering
Cite this
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 proceeding › Conference contribution
}
TY - GEN
T1 - Human factors engineering for mobile health applications
AU - Snyder, Chad
AU - Blain Christen, Jennifer
AU - Ross, Heather M.
PY - 2017/12/19
Y1 - 2017/12/19
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85048595502&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048595502&partnerID=8YFLogxK
U2 - 10.1109/HIC.2017.8227573
DO - 10.1109/HIC.2017.8227573
M3 - Conference contribution
AN - SCOPUS:85048595502
VL - 2017-December
SP - 14
EP - 17
BT - 2017 IEEE Healthcare Innovations and Point of Care Technologies, HI-POCT 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -