About Visual Analytics
The field of Visual Analytics encompasses learning plausible semantic models from unstructured or semi-structured data; using visualisation techniques to present this information in order to extract meaning, supporting search, navigation and exploration of dataset content in a visual and more intuitive ways.
Research Papers
- Morar, SS., Macredie, RD. and Cribbin, T. (2002) 'An investigation of visual cues used to create and support frames of reference and visual search tasks in desktop virtual environments'. Virtual Reality: Research, Development and Applications, 6 (3). pp. 140 - 150. ISSN: 1359-4338
- Cribbin, T. and Chen, C. (2001) 'Exploring cognitive issues in visual information retrieval'.8th IFIP TC.13 Conference on Human-Computer Interaction (INTERACT 2001). Tokyo, Japan. 9 - 13 July. IOS Press. pp. 9 - 13.
- Morar, SS., Macredie, RD. and Cribbin, T. (2001) 'A study of the relative importance of visual cues in desktop virtual environments'.9th International Conference on Human-Computer Interaction. [unpublished]
- Cribbin, T. and Chen, C. (2001) 'Visual-spatial exploration of thematic spaces: a comparative study of three visualisation models'.Electronic Imaging 2001: Visual Data Exploration and Analysis VIII. SAN JOSE, CA. SPIE. pp. 199 - 209. ISSN: 0277-786X
- Westerman, SJ., Cribbin, T. and Wilson, R. (2001) 'Virtual information space navigation: evaluating the use of head tracking'. Behaviour and Information Technology, 20 (6). pp. 419 - 426. ISSN: 1362-3001