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Systemic view of human-data interaction: analyzing a COVID-19 data visualization platform

Published:23 December 2020Publication History

ABSTRACT

Human-Data Interaction (HDI) is a growing field concerned by placing humans at the center of data flows and providing mechanisms for people to interact explicitly with systems and data. Understanding HDI from a sociotechnical perspective, we argue that technical and human issues must be approached in an interconnected way throughout a data lifecycle. In this paper, grounding our discussions in a conceptual artifact named Extended Semiotic Framework, we discuss how different interested parties, different levels of signs, and different stages in data lifecycle can affect HDI. We apply this artifact into a local COVID-19 information website and use its results to inform the website redesign. Our discussion and results show the Extended Semiotic Framework as capable to promote a systemic view considering both human and technical issues, as well as to identify problems and challenges at different data stages.

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        cover image ACM Other conferences
        IHC '20: Proceedings of the 19th Brazilian Symposium on Human Factors in Computing Systems
        October 2020
        519 pages
        ISBN:9781450381727
        DOI:10.1145/3424953

        Copyright © 2020 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 23 December 2020

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        IHC '20 Paper Acceptance Rate60of155submissions,39%Overall Acceptance Rate331of973submissions,34%

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