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Advances in Longitudinal HCI ResearchOpportunities and Challenges for Long-Term Tracking

Advances in Longitudinal HCI Research: Opportunities and Challenges for Long-Term Tracking [As self-tracking has evolved from a niche practice to a mass-market phenomenon, it has become possible to track a broad range of activities and vital parameters over years and decades. This creates both new opportunities for long term research and also illustrates some challenges associated with longitudinal research. We establish characteristics of very long-term tracking, based on previous work from diverse areas of Ubicomp, HCI, and health informatics. We identify differences between long- and short-term tracking, and discuss consequences on the tracking process. A model for long-term tracking integrates the specific characteristics and facilitates identifying viewpoints of tracking. Finally, a research agenda suggests major topics for future work, including respecting gaps in data and incorporating secondary data sources.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Advances in Longitudinal HCI ResearchOpportunities and Challenges for Long-Term Tracking

Part of the Human–Computer Interaction Series Book Series
Editors: Karapanos, Evangelos; Gerken, Jens; Kjeldskov, Jesper; Skov, Mikael B.
Epstein, Daniel A.; Eslambolchilar, Parisa; Kay, Judy; Meyer, Jochen; Munson, Sean A.
Advances in Longitudinal HCI Research — Aug 12, 2021
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29 pages

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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2021
ISBN
978-3-030-67321-5
Pages
177 –206
DOI
10.1007/978-3-030-67322-2_9
Publisher site
See Chapter on Publisher Site

Abstract

[As self-tracking has evolved from a niche practice to a mass-market phenomenon, it has become possible to track a broad range of activities and vital parameters over years and decades. This creates both new opportunities for long term research and also illustrates some challenges associated with longitudinal research. We establish characteristics of very long-term tracking, based on previous work from diverse areas of Ubicomp, HCI, and health informatics. We identify differences between long- and short-term tracking, and discuss consequences on the tracking process. A model for long-term tracking integrates the specific characteristics and facilitates identifying viewpoints of tracking. Finally, a research agenda suggests major topics for future work, including respecting gaps in data and incorporating secondary data sources.]

Published: Aug 12, 2021

Keywords: Self-tracking; Long-term; Personal informatics; Physical activity

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