Overcoming mental blocks: A blocks-based approach to experience sampling studies

Daniel Rough, Aaron Quigley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)
98 Downloads (Pure)


Experience Sampling Method (ESM) studies repeatedly survey participants on their behaviours and experiences as they go about their everyday lives. Smartphones afford an ideal platform for ESM study applications as devices seldom leave their users, and can automatically sense surrounding context to augment subjective survey responses. ESM studies are employed in fields such as psychology and social science where researchers are not necessarily programmers and require tools for application creation. Previous tools using web forms, text files, or flowchart paradigms are either insufficient to model the potential complexity of study protocols, or fail to provide a low threshold to entry. We demonstrate that blocks programming simultaneously lowers the barriers to creating simple study protocols, while enabling the creation of increasingly sophisticated protocols. We discuss the design of Jeeves, our blocks-based environment for ESM studies, and explain advantages that blocks afford in ESM study design.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE Blocks and Beyond Workshop (B&B 2017)
EditorsFranklyn Turbak, Caitlin Kelleher, Jeff Gray, Mark Sherman
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781538624807
ISBN (Print)9781538624814
Publication statusPublished - 1 Dec 2017
Event2nd IEEE Blocks and Beyond Workshop (B&B 2017) - Raleigh, United States
Duration: 9 Oct 201710 Oct 2017


Conference2nd IEEE Blocks and Beyond Workshop (B&B 2017)
Country/TerritoryUnited States


  • end-user development (EUD)
  • experience sampling method (ESM)
  • Visual programming

ASJC Scopus subject areas

  • Software


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