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Human Data Interaction: Historical Lessons from Social Studies and CSCW

  • Andy CrabtreeEmail author
  • Richard Mortier
Conference paper

Abstract

Human Data Interaction (HDI) is an emerging field of research that seeks to support end-users in the day-to-day management of their personal digital data. This is a programmatic paper that seeks to elaborate foundational challenges that face HDI from an interactional perspective. It is rooted in and reflects foundational lessons from social studies of science that have had a formative impact on CSCW, and core challenges involved in supporting interaction/collaboration from within the field of CSCW itself. These are drawn upon to elaborate the inherently social and relational character of data and the challenges this poses for the ongoing development of HDI, particularly with respect to the ‘articulation’ of personal data. Our aim in doing this is not to present solutions to the challenges of HDI but to articulate core problems that confront this fledgling field as it moves from nascent concept to find a place in the interactional milieu of everyday life and particular research challenges that accompany it.

Keywords

Personal Data Boundary Object Cooperative Work Articulation Work Data Ownership 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgment

The research on which this article is based was funded by RCUK research grants EP/M001636/1 and EP/K003569/1.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.School of Computer ScienceUniversity of NottinghamNottinghamUK
  2. 2.Computer LaboratoryUniversity of CambridgeCambridgeUK

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