Can video-based qualitative analysis help us understand user-algorithm interaction?
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 of...
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| Materiálatiipa: | Conference item |
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BCS Learning and Development Ltd
2018
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| _version_ | 1826286176019939328 |
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| author | Webb, H Patel, M |
| author_facet | Webb, H Patel, M |
| author_sort | Webb, H |
| collection | OXFORD |
| description | 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 analysis, this video-based approach produces rich and detailed observations of user behaviour and reveals several relevant patterns of interest. Our findings highlight that both user-algorithm interaction and users’ own practical reasoning play key roles in shaping the browsing experience. |
| first_indexed | 2024-03-07T01:39:52Z |
| format | Conference item |
| id | oxford-uuid:967d5a8b-f758-41a0-a269-11b3dca46651 |
| institution | University of Oxford |
| last_indexed | 2024-03-07T01:39:52Z |
| publishDate | 2018 |
| publisher | BCS Learning and Development Ltd |
| record_format | dspace |
| spelling | oxford-uuid:967d5a8b-f758-41a0-a269-11b3dca466512022-03-26T23:53:15ZCan video-based qualitative analysis help us understand user-algorithm interaction?Conference itemhttp://purl.org/coar/resource_type/c_5794uuid:967d5a8b-f758-41a0-a269-11b3dca46651Symplectic Elements at OxfordBCS Learning and Development Ltd2018Webb, HPatel, MThere 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 analysis, this video-based approach produces rich and detailed observations of user behaviour and reveals several relevant patterns of interest. Our findings highlight that both user-algorithm interaction and users’ own practical reasoning play key roles in shaping the browsing experience. |
| spellingShingle | Webb, H Patel, M Can video-based qualitative analysis help us understand user-algorithm interaction? |
| title | Can video-based qualitative analysis help us understand user-algorithm interaction? |
| title_full | Can video-based qualitative analysis help us understand user-algorithm interaction? |
| title_fullStr | Can video-based qualitative analysis help us understand user-algorithm interaction? |
| title_full_unstemmed | Can video-based qualitative analysis help us understand user-algorithm interaction? |
| title_short | Can video-based qualitative analysis help us understand user-algorithm interaction? |
| title_sort | can video based qualitative analysis help us understand user algorithm interaction |
| work_keys_str_mv | AT webbh canvideobasedqualitativeanalysishelpusunderstanduseralgorithminteraction AT patelm canvideobasedqualitativeanalysishelpusunderstanduseralgorithminteraction |