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

Cathrine Seidelin, Yvonne Dittrich, Erik Grönvall

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Abstrakt

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.
OriginalsprogEngelsk
TitelNordiCHI '20: Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society
Antal sider11
ForlagAssociation for Computing Machinery
Publikationsdato27 okt. 2020
Sider1-11
ISBN (Elektronisk)978-1-4503-7579-5
DOI
StatusUdgivet - 27 okt. 2020
BegivenhedThe 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society - Online
Varighed: 25 okt. 202029 okt. 2020
Konferencens nummer: 11
https://nordichi2020.org/

Konference

KonferenceThe 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society
Nummer11
LokationOnline
Periode25/10/202029/10/2020
Internetadresse

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