Accurately interpreting clickthrough data as implicit feedback
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Query chains: learning to rank from implicit feedback
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
What are you looking for?: an eye-tracking study of information usage in web search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Eye-mouse coordination patterns on web search results pages
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Query expansion using gaze-based feedback on the subdocument level
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Exploring mouse movements for inferring query intent
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Segment-level display time as implicit feedback: a comparison to eye tracking
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
In the Mood to Click? Towards Inferring Receptiveness to Search Advertising
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Ready to buy or just browsing?: detecting web searcher goals from interaction data
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
VPW: an interactive prototype of a web-based visual paired comparison cognitive diagnostic test
Proceedings of the 1st ACM International Health Informatics Symposium
Optimizing two-dimensional search results presentation
Proceedings of the fourth ACM international conference on Web search and data mining
No clicks, no problem: using cursor movements to understand and improve search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
MouseHints: easing task switching in parallel browsing
CHI '11 Extended Abstracts on Human Factors in Computing Systems
ViewSer: enabling large-scale remote user studies of web search examination and interaction
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Web browsing behavior recording system
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part IV
Computer Supported Cooperative Work
Large-scale analysis of individual and task differences in search result page examination strategies
Proceedings of the fifth ACM international conference on Web search and data mining
Proceedings of the 21st international conference on World Wide Web
User see, user point: gaze and cursor alignment in web search
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Mouse tracking: measuring and predicting users' experience of web-based content
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Improving searcher models using mouse cursor activity
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Assessing the relationship between context, user preferences, and content in search behaviour
Proceedings of the 5th Ph.D. workshop on Information and knowledge
Predicting web search success with fine-grained interaction data
Proceedings of the 21st ACM international conference on Information and knowledge management
Influence of timeline and named-entity components on user engagement
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Towards estimating web search result relevance from touch interactions on mobile devices
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Predicting query reformulation type from user behavior
Proceedings of the 28th Annual ACM Symposium on Applied Computing
Improving search result summaries by using searcher behavior data
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Mining touch interaction data on mobile devices to predict web search result relevance
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
On cognition, emotion, and interaction aspects of search tasks with different search intentions
Proceedings of the 22nd international conference on World Wide Web
Measurement and modeling of eye-mouse behavior in the presence of nonlinear page layouts
Proceedings of the 22nd international conference on World Wide Web
Robust models of mouse movement on dynamic web search results pages
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Web browsing behavior analysis and interactive hypervideo
ACM Transactions on the Web (TWEB)
Discovering common motifs in cursor movement data for improving web search
Proceedings of the 7th ACM international conference on Web search and data mining
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A key problem in information retrieval is inferring the searcher's interest in the results, which can be used for implicit feedback, query suggestion, and result ranking and summarization. One important indicator of searcher interest is gaze position - that is, the results or the terms in a result listing where a searcher concentrates her attention. Capturing this information normally requires eye tracking equipment, which until now has limited the use of gaze-based feedback to the laboratory. While previous research has reported a correlation between mouse movement and gaze position, we are not aware of previous work on automatically inferring searcher's gaze position from mouse movement or similar interface interactions. In this paper, we report the first results on automatically inferring whether the searcher's gaze position is coordinated with the mouse position - a crucial step towards predicting the searcher gaze position from the computer mouse movements.