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Can video-based qualitative analysis help us understand user-algorithm interaction?

Abstract:

There is growing debate in contemporary life over the roles played by algorithms when we browse online. In particular, concerns are raised that algorithmic processes to index, filter and personalise content can ‘manipulate’ user behaviours in ways that lead to detrimental outcomes both online and offline. This short paper reports on ongoing work to examine how users interact with algorithms when undertaking browsing tasks online. Drawing on insights from ethnomethodology and conversation anal...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.14236/ewic/HCI2018.141

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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
Publisher:
BCS Learning and Development Ltd Publisher's website
Publication date:
2018-11-19
Acceptance date:
2018-06-06
DOI:
Pubs id:
pubs:868296
URN:
uri:967d5a8b-f758-41a0-a269-11b3dca46651
UUID:
uuid:967d5a8b-f758-41a0-a269-11b3dca46651
Local pid:
pubs:868296

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