MARC보기
LDR00000nam u2200205 4500
001000000432224
00520200224115118
008200131s2019 ||||||||||||||||| ||eng d
020 ▼a 9781088327609
035 ▼a (MiAaPQ)AAI13902928
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 620
1001 ▼a Perrier, Trevor.
24510 ▼a Connecting End Users to Domain Experts With Universal Mobile Phones Services.
260 ▼a [S.l.]: ▼b University of Washington., ▼c 2019.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2019.
300 ▼a 180 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
500 ▼a Advisor: Anderson, Richard.
5021 ▼a Thesis (Ph.D.)--University of Washington, 2019.
506 ▼a This item must not be sold to any third party vendors.
506 ▼a This item must not be added to any third party search indexes.
520 ▼a The potential for communication services available on any mobile phone to engage users, disseminate information, and facilitate behavior change has been well documented. Designing using universal applications based on SMS and voice services enables platforms that reach and empower marginalized segments of the global population. The majority of mobile messaging services for development are either one-way push messaging or use fully automated bi-directional hierarchy based bots. In this thesis, I present the design, deployment and evolution of mWACH - a semi-automated bi-directional SMS platform for global health interventions. This novel system mediates personalized conversations between patients and trained medical professionals through a personalized schedule of automated messages. In collaboration with UW Global Health and Kenyatta National Hospital in Nairobi mWACH has been used in five different projects at seven Kenyan clinics. Since 2013 over 120 thousand automated SMS messages have been sent and we have received over 35 thousand messages from participants with study staff sending an additional 25 thousand messages. This thesis contributes an in depth quantitative analysis of system use and engagement over time and across projects. Results from the system analysis and messaging content will help inform the design of future systems looking to engage patients on health messaging platforms.
590 ▼a School code: 0250.
650 4 ▼a Computer science.
650 4 ▼a Information technology.
690 ▼a 0984
690 ▼a 0489
71020 ▼a University of Washington. ▼b Computer Science and Engineering.
7730 ▼t Dissertations Abstracts International ▼g 81-04B.
773 ▼t Dissertation Abstract International
790 ▼a 0250
791 ▼a Ph.D.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15492411 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1008102
991 ▼a E-BOOK