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Jeeves - an Experience Sampling study creation tool

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BCSHIS_Jeeves_Evaluation.pdf (911.2Kb)
Date
03/10/2017
Author
Rough, Daniel John
Quigley, Aaron John
Keywords
Experience Sampling Method
mHealth
End-user development
Visual programming
QA75 Electronic computers. Computer science
QA76 Computer software
R Medicine
NDAS
Metadata
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Abstract
Ubiquitous mobile technology affords clinicians new opportunities to enhance personalised, patient-centric care remotely, easing the burden on both patient and clinician. The Experience Sampling Method (ESM) involves the repeated assessment of patients on their symptoms or behaviours, and their external contexts, as they go about their everyday lives, enhancing ecological validity and minimising recall bias. While previously conducted with paper diaries, ESM smartphone applications are now being employed, that have a range of benefits over paper-based methods including the ability to scale to many more patients. However, development of such applications is time-consuming and requires considerable programming knowledge. This has prompted the development of ESM creation tools that alleviate a researcher from the burden of programming an ESM application from scratch. This paper presents our work on Jeeves, a visual environment for creating secure ESM Android applications, and a usability evaluation we conducted with health psychology students.
Citation
Rough , D J & Quigley , A J 2017 , Jeeves - an Experience Sampling study creation tool . in BCS Health Informatics Scotland (HIS) . BCS Electronic Workshops in Computing (eWiC) , BCS , 2017 BCS Health Scotland Conference , Edinburgh , United Kingdom , 3/10/17 .
 
conference
 
Publication
BCS Health Informatics Scotland (HIS)
ISSN
1477-9358
Type
Conference item
Rights
© 2017, the Author(s). This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work will be made available at ewics.bcs.org
Collections
  • University of St Andrews Research
URI
http://hdl.handle.net/10023/11699

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