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Research at St Andrews

Jeeves – a visual programming environment for mobile experience sampling

Research output: Contribution to conferencePaperpeer-review


Daniel John Rough, Aaron John Quigley

School/Research organisations


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.


Original languageEnglish
Number of pages9
Publication statusPublished - 20 Oct 2015
Event IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) - USA, Atlanta, United States
Duration: 18 Oct 201522 Oct 2015


Conference IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)
Country/TerritoryUnited States

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