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Co-designing Data Experiments: Domain Experts’ Exploration and Experimentation with self-selected Data Sources

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Today, organizations have to deal with multiple heterogeneous data sources from different systems and platforms to maintain and develop their services. Therefore, there is a need for tools to support organizations to determine what data sources can advance and innovate their services. This paper reports on how we addressed this need by designing and implementing two design tools – the Data Sphere and the Data Experiment Template – to support domain experts’ exploration with different data sources which they selected themselves. We find that (1) domain experts’ exploration of data sources make the cross-organizational dependency of data and data work visible; (2) the value of co-design becomes evident to address this dependency; and by that, (3) the data became ‘design things’, that means data are object of design that at the same time create a space for members of the organization to together explore how to use data to innovate their services.
Original languageEnglish
Title of host publicationNordiCHI '20: Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society
Number of pages11
PublisherAssociation for Computing Machinery
Publication date27 Oct 2020
Pages1-11
ISBN (Electronic)978-1-4503-7579-5
DOIs
Publication statusPublished - 27 Oct 2020
EventThe 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society - Online
Duration: 25 Oct 202029 Oct 2020
Conference number: 11
https://nordichi2020.org/

Conference

ConferenceThe 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society
Nummer11
LocationOnline
Periode25/10/202029/10/2020
Internetadresse
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    Research areas

  • Co-design, Data Work, Design Things, Data Experiments, Data Sphere, Organization

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