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Alumni Member

Haiming Liu (Alumni) Member status icon

P-time SocialLearn UX Developer
Haiming Liu Photograph

I am working on SocialLearn Project as a user experience developer. My PhD was on improving the interaction between users and the content-based image retrieval (CBIR) system from three perspectives: user interaction model, interactive interface and users.

Keys: User Interaction Model, Relevant Feedback, Interactive Interface Design, User Modelling, User Profile Analysis, Quantitative and Qualitative Data Analysis, Information Retrieval, Multimedia Information Retrieval, Social Learning.

Projects

DRESS

News

Publications

Liu, H. and Hartnett, E. (2015). Exploring the Design of a Social Learning Platform for Supporting Users’ E-Teaching Skill Development. In: 2015 SAI Intelligent Systems Conference (IntelliSys), 10-11 Nov 2015, London, UK. https://oro.open.ac.uk/45334/.

Overell, S., Llorente, A., Liu, H., Hu, R., Rae, A., Zhu, J., Song, D. and Rüger, S. (2008). MMIS at ImageCLEF 2008: experiments combining different evidence sources. In: CLEF workshop, 17-19 Sep 2008, Aarhus, Denmark. https://oro.open.ac.uk/36073/.

Liu, H., Macintyre, R. and Ferguson, R. (2012). Exploring qualitative analytics for e-mentoring relationships building in an online social learning environment. In: Second International Conference on Learning Analytics and Knowledge (LAK12), 29 Apr - 02 May 2012, Vancouver, Canada. https://oro.open.ac.uk/33632/.

Liu, H., Little, S. and Rüger, S. (2011). Multimedia: behaviour, interfaces and interaction. In: Ruthven, Ian and Kelly, Diane eds. Interactive information seeking, behaviour and retrieval. Facet publishing, pp. 221–234. https://oro.open.ac.uk/29239/.

Liu, H., Mulholland, P., Song, D., Uren, V. and Rüger, S. (2011). An information foraging theory based user study of an adaptive user interaction framework for content-based image retrieval. In: 17th International Conference on MultiMedia Modeling (MMM), Jan 2011, Taipei, Taiwan. https://oro.open.ac.uk/28199/.

Llorente, A., Overell, S., Liu, H., Hu, R., Rae, A., Zhu, J., Song, D. and Rüger, S. (2009). Exploiting term co-occurrence for enhancing automated image annotation. In: Evaluating Systems for Multilingual and Multimodal Information Access, 9th Workshop of the Cross-Language Evaluation Forum, 17-19 Sep 2008, Aarhus, Denmark. https://oro.open.ac.uk/23514/.

Liu, H., Zagorac, S., Uren, V., Song, D. and Rüger, S. (2009). Enabling effective user interactions in content-based image retrieval. In: The 5th Asia Information Retrieval Symposium (AIRS2009), 21-23 Oct 2009, Sapporo, Hokkaido, Japan. https://oro.open.ac.uk/23840/.

Liu, H., Uren, V., Song, D. and Rüger, S. (2009). A four-factor user interaction model for content-based image retrieval. In: The 2nd International Conference on the Theory of Information Retrieval (ICTIR2009), 10-12 Sep 2009, Cambridge, UK. https://oro.open.ac.uk/23839/.

Hu, R., Rüger, S., Song, D. and Liu, H. (2008). Dissimilarity measures for content-based image retrieval. In: 2008 IEEE International Conference Multimedia and Expo, 23-26 Jun 2008, Hannover, Germany. https://oro.open.ac.uk/23807/.

Uren, V., Lei, Y., Lopez, V., Liu, H., Motta, E. and Giordanino, M. (2007). The usability of semantic search tools: a review. The Knowledge Engineering Review, 22(4), pp. 361–377. https://oro.open.ac.uk/23501/.

Liu, H. (2010). A framework for understanding user interaction with content-based image retrieval: model, interface and users. [Thesis] https://oro.open.ac.uk/23806/.

Liu, H., Mulholland, P., Song, D., Uren, V. and Rüger, S. (2010). Applying information foraging theory to understand user interaction with content-based image retrieval. In: The Information Interaction in Context Conference (IIiX 2010), 18-22 Aug 2010, New Brunswick, NJ, USA. https://oro.open.ac.uk/23502/.

Liu, H., Song, D., Rüger, S., Hu, R. and Uren, V. (2008). Comparing dissimilarity measures for content-based image retrieval. In: The 4th Asia Information Retrieval Symposium (AIRS2008), 15-18 Jan 2008, Harbin, China. https://oro.open.ac.uk/11962/.

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