The optimal number of menu options per panel
Human Factors
Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Grouper: a dynamic clustering interface to Web search results
WWW '99 Proceedings of the eighth international conference on World Wide Web
Selection from alphabetic and numeric menu trees using a touch screen: breadth, depth, and width
CHI '85 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Bringing order to the Web: automatically categorizing search results
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Hierarchical classification of Web content
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Optimizing search by showing results in context
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning to cluster web search results
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Proportional search interface usability measures
Proceedings of the third Nordic conference on Human-computer interaction
Findex: search result categories help users when document ranking fails
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Findex: improving search result use through automatic filtering categories
Interacting with Computers
Controlling the complexity in comparing search user interfaces via user studies
Information Processing and Management: an International Journal
Exploiting structured ontology to organize scattered online opinions
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
A Specialized Search Assistant for Learning Objects
ACM Transactions on the Web (TWEB)
Related terms clustering for enhancing the comprehensibility of web search results
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
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Automatically generated web search result categories were found to be beneficial in our previous study. In that study, we used 15 result categories and left the optimal number of categories issue deliberately untouched. To address this matter, we conducted a new experiment with 27 participants to compare search user interfaces with 10, 20, and 40 automatically generated categories. The results show that users prefer fewer categories. The use of fewer categories results in a slightly more accurate performance in result selection. In addition, the observed speed differences between the conditions were small. Although reading longer category lists requires more time, the users benefited from the increased descriptiveness, causing the overall speed to be almost equal. According to our results, the optimal number of categories is between 10 and 20.