Scaling Up HCI Research: from Clinical Trials to Deployment in the Wild
Creators
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1.
Columbia University
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2.
Columbia University Medical Center
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3.
California Institute of Technology
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4.
Clinical Directors Network
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5.
West Chester University
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6.
University of Colorado Boulder
Abstract
In this paper, we describe two case studies of research projects that attempt to scale up HCI research beyond traditional small evaluation studies. The first of these projects focused on evaluating an interactive web application for promoting problem-solving in self-management of type 2 diabetes mellitus (T2DM) in a randomized clinical trial; the second one included deployment in the wild of a smartphone app that provided individuals with T2DM with personalized predictions for changes in blood glucose levels in response to meals. We highlight lessons learned during these two projects and describe four different design considerations important for large scale studies. These include designing for longevity, diversity, adoption, and abandonment. We then discuss implications for future research that targets large scale deployment studies.
Additional Information
© 2021 Copyright held by the owner/author(s). Published: 8 May 2021. This research was funded in part by the National Institute for the Diabetes and Digestive and Kidney Disease (award R01DK090372), and by the National Library of Medicine (awards T15LM007079 and LM012819). We are grateful to Elizabeth M. Heitkemper and Maria Hwang, and all the participants of our studies and users of our solutions who shared their experiences.Attached Files
Published - 3411763.3443437.pdf
Files
3411763.3443437.pdf
Additional details
Identifiers
- Eprint ID
- 114465
- Resolver ID
- CaltechAUTHORS:20220426-533989700
Funding
- NIH
- R01DK090372
- NIH Predoctoral Fellowship
- T15LM007079
- NIH
- LM012819
Dates
- Created
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2022-04-26Created from EPrint's datestamp field
- Updated
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2022-04-26Created from EPrint's last_modified field