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Using Experience Sampling Methodology to Collect Deep Data About Your Users

Published: 18 April 2015 Publication 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.
[2]
Buxton, B. Sketching User Experiences: Getting the Design Right and the Right Design. Morgan Kaufmann, 2007.
[3]
Greenberg, S., Carpendale, S., Marquardt, N., and Buxton, B. Sketching User Experiences: The Workbook. Morgan Kaufmann, 2012.

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    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
    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.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 18 April 2015

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    Author Tags

    1. experience sampling methodology
    2. longitudinal study
    3. mobile
    4. user research

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    CHI '15
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    CHI '15: CHI Conference on Human Factors in Computing Systems
    April 18 - 23, 2015
    Seoul, Republic of Korea

    Acceptance Rates

    CHI EA '15 Paper Acceptance Rate 379 of 1,520 submissions, 25%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

    Upcoming Conference

    CHI 2025
    ACM CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2025
    Yokohama , Japan

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