Mental models: towards a cognitive science of language, inference, and consciousness
Mental models: towards a cognitive science of language, inference, and consciousness
Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Users, user interfaces, and objects: Envision, a digital library
Journal of the American Society for Information Science
TileBars: visualization of term distribution information in full text information access
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The future of Internet search (keynote address)
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Visualization of search results: a comparative evaluation of text, 2D, and 3D interfaces
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
New paradigms in information visualization (poster session)
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Modern Information Retrieval
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visualising hierarchical associations
Knowledge and Information Systems
Multimodal communication in the classroom: what does it mean for us?
Proceedings of the 37th SIGCSE technical symposium on Computer science education
White rooms and morphing don't mix: setting and the evaluation of visualization techniques
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A lean online approach to human factors research
Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments
Rough Diamonds in Natural Language Learning
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
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Everyday, millions of people use some form of text-based interface to search inefficiently for information. This reflects a lack of penetration of key developments in Human Computer Interaction (HCI) designed to expedite document retrieval. In the context of document search, the value of textual language is self-evident for searching natural language documents. However, there has been little human factors research into general user preferences such as the number of words preferred to describe or search for a document. Such heuristics can help to balance processing overheads of tasks like clustering against user cognitive load in the realisation of, overall, more efficient document retrieval process. We report the results from two internet delivered experiments designed to obtain this heuristic information.