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Opportunities and challenges for long-term tracking

Epstein, Daniel A., Eslambolchilar, Parisa ORCID:, Kay, Judy, Meyer, Jochen and Munson, Sean A. 2021. Opportunities and challenges for long-term tracking. Karapanos, Evangelos, Gerken, Jens, Kjeldskov, Jesper and Skov, Mikael B., eds. Advances in Longitudinal HCI Research, Human–Computer Interaction Series, Springer, pp. 177-206. (10.1007/978-3-030-67322-2_9)

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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.

Item Type: Book Section
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Publisher: Springer
ISBN: 9783030673215
Date of Acceptance: 7 July 2020
Last Modified: 09 Nov 2022 10:52

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