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Have a say over what you see: evaluating interactive compression techniques
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International Conference on Intelligent User Interfaces archive
Proceedings of the 13th international conference on Intelligent user interfaces table of contents
Sanibel Island, Florida, USA
SESSION: Summarization table of contents
Pages 37-46  
Year of Publication: 2009
ISBN:978-1-60558-168-2
Authors
Simon Tucker  University of Sheffield, Sheffield, United Kingdom
Steve Whittaker  University of Sheffield, Sheffield, United Kingdom
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

We all encounter many documents on a daily basis that we do not have time to process in their entirety. Nevertheless, we lack good tools to rapidly skim and identify key information from within such documents. This paper develops and evaluates Interactive Compression (IC) techniques that allow users to dynamically configure the amount of information they view in a document, e.g. by automatically removing unimportant information from view (Excision) or by making important information more salient (Highlighting). We explore IC techniques in the context of meeting transcripts that are typically unstructured - making it difficult to isolate relevant regions and extract key information. We demonstrate the superiority of IC compared with an unmodified text control. In contrast to traditional summaries, our results show extensive use of interactive, as opposed to fixed compression level, summarization. They also show the value of word- as opposed to utterance-based compression. There are also trade-offs between different IC designs. Excision allows users to scan documents faster than Highlighting but at the expense of overlooking relevant sections of the document.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Simon Tucker: colleagues
Steve Whittaker: colleagues