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Research at St Andrews

Overcoming mental blocks: a blocks-based approach to Experience Sampling studies

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

Author(s)

Daniel John Rough, Aaron John Quigley

School/Research organisations

Abstract

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.
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Details

Original languageEnglish
Title of host publication2017 IEEE Blocks and Beyond Workshop
PublisherIEEE
Number of pages4
StateAccepted/In press - 17 Aug 2017
Event2nd Workshop on Lessons and Directions for First Programming Environments - Raleigh, United States

Workshop

Workshop2nd Workshop on Lessons and Directions for First Programming Environments
CountryUnited States
CityRaleigh
Period10/10/17 → …
Internet address

    Research areas

  • Visual programming, End-user development (EUD), Experience sampling method (ESM)

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ID: 251028611