| 1. |
- Brown, Barry, et al.
(författare)
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Seeing Ethnographically: Teaching ethnography as part of CSCW
- 2007
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Ingår i: In L. J. Bannon, I. Wagner, C. Gutwin, R. H. R. Harper & K. Schmidt (Eds.), Proceedings of the 10th European Conference on Computer-Supported Cooperative Work. London: Springer. - London : Springer. ; , s. 411-430, s. 411-430
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Konferensbidrag (refereegranskat)
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| 2. |
- Håkansson, Maria, et al.
(författare)
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Facilitating Mobile Music Sharing and Social Interaction with Push!Music
- 2007
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Ingår i: Proceedings of the 40th Hawaii International Conference on System Sciences. - Los Alamitos, Calif. : IEEE Computer Society Washington. - 1530-1605. - 0769527558 ; , s. 87-
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Konferensbidrag (refereegranskat)abstract
- Push!Music is a novel mobile music listening and sharing system, where users automatically receive songs that have autonomously recommended themselves from nearby players depending on similar listening behaviour and music history. Push!Music also enables users to wirelessly send songs between each other as personal recommendations. We conducted a two-week preliminary user study of Push!Music, where a group of five friends used the application in their everyday life. We learned for example that the shared music in Push!Music became a start for social interaction and that received songs in general were highly appreciated and could be looked upon as 'treats'.
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| 3. |
- Jacobsson, Mattias, et al.
(författare)
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When media gets wise: Collaborative filtering with mobile media agents
- 2006
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Ingår i: International Conference on Intelligent User Interfaces, Proceedings IUI. - New York, NY, USA : ACM. - 1595932879
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Konferensbidrag (refereegranskat)abstract
- We present a model where media (e.g. music files) are autonomous entities that carry their own individual information. Our goal is to turn such files into autonomous, rule-following agents capable of building their own identities from interactions with other agents and users, We are exploring how collaborative filtering-like behaviour could emerge out of large ensembles of interacting agents, which are distributed over mobile devices in social networks. We have implemented a first version of the model in the form of a music player application for mobile devices, called Push!Music. This system takes advantage of active recommendations as well as implicit user activity to build a profile for each media file.
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