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Human-Data Interaction in the Context of Care: Co-designing Family Civic Data Interfaces and Practices

Lookup NU author(s): Alex Bowyer, Professor Rob Wilson, Dr Stuart Wheater, Matthew Snape, Dr Kyle Montague

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This is the final published version of a conference proceedings (inc. abstract) that has been published in its final definitive form by Association of Computing Machinery, 2019.

For re-use rights please refer to the publisher's terms and conditions.


Abstract

By storing data about citizens for the purposes of service provision, private and public organisations have disempowered the people they serve, shifting the balance of power toward themselves as data holders. Through three co-production engagements involving families receiving "early help" support from their local authority and support workers involved in supplying this care, we have identified existing data usage practices, explored the impact of those practices upon the supported families, and co-designed new and improved approaches - both technological and practice-based - that are perceived to offer families fairer treatment, greater influence, and to benefit from better decision-making. Our findings show that by applying Human-Data Interaction and giving supported families direct access to see and manipulate their own data, both during and outside of the support engagement, the locus of decision-making could be shifted towards the data subject.


Publication metadata

Author(s): Bowyer AJB, Wilson R, Wheater S, Snape M, Montague K

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing

Year of Conference: 2019

Print publication date: 09/05/2019

Online publication date: 09/05/2019

Acceptance date: 08/02/2019

Date deposited: 15/03/2021

Publisher: Association of Computing Machinery

URL: https://doi.org/10.1145/3290607.3312998

DOI: 10.1145/3290607.3312998

Series Title: CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing

Sponsor(s): Association of Computing Machinery


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