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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

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Publisher copy:
10.14236/ewic/HCI2018.141

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author
Publisher:
BCS Learning and Development Ltd Publisher's website
Journal:
32nd Human Computer Interaction Conference Journal website
Host title:
Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI 2018)
Publication date:
2018-11-19
Acceptance date:
2018-06-06
DOI:
Source identifiers:
868296
Keywords:
Pubs id:
pubs:868296
UUID:
uuid:967d5a8b-f758-41a0-a269-11b3dca46651
Local pid:
pubs:868296
Deposit date:
2018-07-12

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