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Remembrance of things tagged: how tagging effort affects tag production and human memory
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Information foraging table of contents
Pages 615-624  
Year of Publication: 2009
ISBN:978-1-60558-246-7
Authors
Raluca Budiu  Nielsen Norman Group, Fremont, CA, USA
Peter Pirolli  Palo Alto Research Center, Palo Alto, CA, USA
Lichan Hong  Palo Alto Research Center, Palo Alto, CA, USA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

We developed a low-effort interaction method called Click2Tag for social bookmarking. Information foraging theory predicts that the production of tags will increase as the effort required to do so is lowered, while the amount of time invested decreases. However, models of human memory suggest that changes in the tagging process may affect subsequent human memory for the tagged material. We compared (1) low-effort tagging by mouse-clicking (Click2Tag), (2) traditional tagging by typing (type-to-tag), and (3) baseline, no tagging conditions. Our results suggest that (a) Click2Tag increases tagging rates, (b) Click2Tag improves recognition of facts from the tagged text when compared to type-to-tag, and (c) Click2Tag is comparable to the no-tagging baseline condition on recall measures. Results suggest that tagging by clicking strengthens the memory traces by repeated readings of relevant words in the text and, thus, improves recognition.


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:
Raluca Budiu: colleagues
Peter Pirolli: colleagues
Lichan Hong: colleagues