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Query suggestions for mobile search: understanding usage patterns
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Conference on Human Factors in Computing Systems archive
Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems table of contents
Florence, Italy
SESSION: Help Me Search table of contents
Pages 1013-1016  
Year of Publication: 2008
ISBN:978-1-60558-011-1
Authors
Maryam Kamvar  GoogleInc./Columbia University, Mountain View, CA, USA
Shumeet Baluja  Google Inc., Mountain View, CA, USA
Sponsors
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Entering search terms on mobile phones is a time consuming and cumbersome task. In this paper, we explore the usage patterns of query entry interfaces that display suggestions. Our primary goal is to build a usage model of query suggestions in order to provide user interface guidelines for mobile text prediction interfaces. We find that users who were asked to enter queries on a search interface with query suggestions rated their workload lower and their enjoyment higher. They also saved, on average, approximately half of the key presses compared to users who were not shown suggestions, despite no associated decrease in time to enter a query. Surprisingly, users also accepted suggestions when the process of doing so resulted in an increase in the number of total key presses.


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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Hart, S.G., Staveland, L.E. Development of NASA-TLX Results of empirical and theoretical research. Human Mental Workload. (1988)
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Google Suggest. http://labs.google.com/suggest.
 
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Collaborative Colleagues:
Maryam Kamvar: colleagues
Shumeet Baluja: colleagues