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Using Experience Sampling Methodology to Collect Deep Data About Your Users

Published:18 April 2015Publication History

ABSTRACT

Experience Sampling Methodology (ESM) is a type of longitudinal diary study that allows one to understand a person's experience in the moment. It combines the qualitative richness of longitudinal diary studies, artifacts of a field study, and quantitative data of a large-scale survey or app tracker. Using a free, open-source mobile app called "PACO (Personal Analytics COmpanion)," we can conduct ESM studies with participants anywhere in the world. These studies can be conducted after qualitative studies (e.g., ethnography, interviews) to ascertain how broadly your observations apply to your user population or they can be done in advance to identify insights you want to study in-person, in-depth. By combining these methodologies, you create a, deeper, more holistic understanding of your users. This workshop will give attendees the skills to design, conduct, and analyze data from ESM studies at any scale.

References

  1. Baskinger, M. Pencils before pixels: a primer in hand-generated sketching. interactions 15, 2 (2008), 28-36. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Buxton, B. Sketching User Experiences: Getting the Design Right and the Right Design. Morgan Kaufmann, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Greenberg, S., Carpendale, S., Marquardt, N., and Buxton, B. Sketching User Experiences: The Workbook. Morgan Kaufmann, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Using Experience Sampling Methodology to Collect Deep Data About Your Users

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    • Published in

      cover image ACM Conferences
      CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems
      April 2015
      2546 pages
      ISBN:9781450331463
      DOI:10.1145/2702613

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 18 April 2015

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      Qualifiers

      • course

      Acceptance Rates

      CHI EA '15 Paper Acceptance Rate379of1,520submissions,25%Overall Acceptance Rate6,164of23,696submissions,26%

      Upcoming Conference

      CHI '24
      CHI Conference on Human Factors in Computing Systems
      May 11 - 16, 2024
      Honolulu , HI , USA

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