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» Predicting searcher frustration
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SIGIR
2010
ACM
13 years 7 months ago
Predicting searcher frustration
When search engine users have trouble finding information, they may become frustrated, possibly resulting in a bad experience (even if they are ultimately successful). In a user ...
Henry A. Feild, James Allan, Rosie Jones
SIGIR
2012
ACM
11 years 6 months ago
Improving searcher models using mouse cursor activity
Web search components such as ranking and query suggestions analyze the user data provided in query and click logs. While this data is easy to collect and provides information abo...
Jeff Huang, Ryen W. White, Georg Buscher, Kuansan ...
SIGIR
2011
ACM
12 years 6 months ago
Find it if you can: a game for modeling different types of web search success using interaction data
A better understanding of strategies and behavior of successful searchers is crucial for improving the experience of all searchers. However, research of search behavior has been s...
Mikhail Ageev, Qi Guo, Dmitry Lagun, Eugene Agicht...
ACII
2007
Springer
13 years 9 months ago
Early Prediction of Student Frustration
Affective reasoning has been the subject of increasing attention in recent years. Because negative affective states such as frustration and anxiety can impede progress toward learn...
Scott W. McQuiggan, Sunyoung Lee, James C. Lester
IJMMS
2007
145views more  IJMMS 2007»
13 years 3 months ago
Automatic prediction of frustration
Predicting when a person might be frustrated can provide an intelligent system with important information about when to initiate interaction. For example, an automated Learning Co...
Ashish Kapoor, Winslow Burleson, Rosalind W. Picar...