DocumentCode :
3712438
Title :
Jeeves - A visual programming environment for mobile experience sampling
Author :
Daniel Rough;Aaron Quigley
Author_Institution :
SACHI Research Group, School of Computer Science, University of St Andrews, UK
fYear :
2015
Firstpage :
121
Lastpage :
129
Abstract :
The Experience Sampling Method (ESM) captures participants´ thoughts and feelings in their everyday environments. Mobile and wearable technologies afford us opportunities to reach people using ESM in varying contexts. However, a lack of programming knowledge often hinders researchers in creating ESM applications. In practice, they rely on specialised tools for app creation. Our initial review of these tools indicates that most are expensive commercial services, and none utilise the full potential of sensors for creating context-aware applications. We present “Jeeves”, a visual language to facilitate ESM application creation. Inspired by successful visual languages in literature, our block-based notation enables researchers to visually construct ESM study specifications. We demonstrate its applicability by replicating existing ESM studies found in medical and psychology literature. Our preliminary study with 20 participants demonstrates that both non-programmers and programmers are able to successfully utilise Jeeves. We discuss future work in extending Jeeves with alternative mobile technologies.
Keywords :
"Visualization","XML","Navigation"
Publisher :
ieee
Conference_Titel :
Visual Languages and Human-Centric Computing (VL/HCC), 2015 IEEE Symposium on
Type :
conf
DOI :
10.1109/VLHCC.2015.7357206
Filename :
7357206
Link To Document :
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