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Using smartphone applications to enhance longitudinal survey methods
Macdonald, Geraldine
(PI)
Ell, Paul S
(CoI)
Higgins, Kathryn
(CoI)
McCann, Mark
(CoI)
Miller, Robert
(CoI)
Sezer, Sakir
(CoI)
Tully, Mark
(CoI)
School of Social Sciences, Education and Social Work
School of Natural and Built Environment
School of Electronics, Electrical Engineering and Computer Science
School of Medicine, Dentistry and Biomedical Sciences
Institute of Electronics, Communications & Information Technology
Centre for Evidence and Social Innovation
Overview
Fingerprint
Research output
(1)
Project Details
Acronym
R1328CHC
Status
Finished
Effective start/end date
01/08/2012
→
30/11/2014
View all
View less
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Survey
Computer Science
100%
Social Research
Computer Science
100%
Application
Computer Science
83%
User
Computer Science
77%
Data Collection
Computer Science
66%
Android Application
Computer Science
66%
Mobile Phone Application
Computer Science
66%
Behavioral Research
Computer Science
66%
Research output
Research output per year
2018
2018
2018
1
Article
Research output per year
Research output per year
MobiQ: A modular Android application for collecting social interaction, repeated survey, GPS and photographic data.
Yerima, S., Loughlin, M.,
Sezer, S.
,
Moriarty, J.
, McCann, M., McAneney, H.,
O'Hara, L.
, Tully, M.,
Ell, P.
,
Miller, R.
& Macdonald, G.,
15 May 2018
,
In:
SoftwareX.
7
,
p. 143-149
Research output
:
Contribution to journal
›
Article
›
peer-review
Open Access
File
Survey
100%
User
100%
Data Collection
100%
Android Application
100%
Design
75%
3
Citations (Scopus)
296
Downloads (Pure)