Bates, J. and Cameron, D. orcid.org/0000-0001-8923-5591 (Completed: 2019) Affect dynamics in data science practice. In: Human-Centred Study of Data Science Work Practices Workshop. ACM CHI Conference on Human Factors in Computing Systems 2019, 04 May 2019, Glasgow, UK. (Unpublished)
Abstract
While data science is often imagined as a dispassionate and objective process of extracting information from data, ethnographic work has identified that affect and emotion play an important role in shaping data science practice. In this paper, we consider how HCI/psychology approaches might contribute to the further development of these exploratory findings, and inform the development of methods to enhance data scientists’ awareness of when affect dynamics may be influencing their practice.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 The Authors. For re-use permissions please contact the authors. |
Keywords: | Affect; Emotion; Data Science; Data Science Practice |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 25 Oct 2019 09:59 |
Last Modified: | 26 Oct 2019 08:37 |
Status: | Unpublished |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:151247 |