A gaze-responsive self-disclosing display
CHI '90 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
SUITOR: an attentive information system
Proceedings of the 5th international conference on Intelligent user interfaces
Communications of the ACM
MAUI: a multimodal affective user interface
Proceedings of the tenth ACM international conference on Multimedia
Variational Extensions to EM and Multinomial PCA
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UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
The Journal of Machine Learning Research
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ACM SIGIR Forum
Latent semantic models for collaborative filtering
ACM Transactions on Information Systems (TOIS)
Unifying collaborative and content-based filtering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Person-independent estimation of emotional experiences from facial expressions
Proceedings of the 10th international conference on Intelligent user interfaces
Automated eye-movement protocol analysis
Human-Computer Interaction
On the robustness of relevance measures with incomplete judgments
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Estimation of certainty for multiple choice tasks using features of eye-movements
Proceedings of the 2008 symposium on Eye tracking research & applications
Eye movements as implicit relevance feedback
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Generating and using gaze-based document annotations
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Towards attention-centered interfaces: An aesthetic evaluation of perspective with eye tracking
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Learning to learn implicit queries from gaze patterns
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Perceptual image retrieval using eye movements
International Journal of Computer Mathematics - Computer Vision and Pattern Recognition
Estimation of certainty for responses to multiple-choice questionnaires using eye movements
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Searchers' relevance judgments and criteria in evaluating web pages in a learning style perspective
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Latent grouping models for user preference prediction
Machine Learning
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Can eyes reveal interest? Implicit queries from gaze patterns
User Modeling and User-Adapted Interaction
GaZIR: gaze-based zooming interface for image retrieval
Proceedings of the 2009 international conference on Multimodal interfaces
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
A comparison of general vs personalised affective models for the prediction of topical relevance
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
An eye-tracking-based approach to facilitate interactive video search
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Probabilistic proactive timeline browser
ICANN'11 Proceedings of the 21st international conference on Artificial neural networks - Volume Part II
Attentive documents: Eye tracking as implicit feedback for information retrieval and beyond
ACM Transactions on Interactive Intelligent Systems (TiiS)
On discriminative joint density modeling
ECML'05 Proceedings of the 16th European conference on Machine Learning
Perceptual image retrieval using eye movements
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Cognitive Systems Research
Unsupervised inference of auditory attention from biosensors
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
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We study a new task, proactive information retrieval by combining implicit relevance feedback and collaborative filtering. We have constructed a controlled experimental setting, a prototype application, in which the users try to find interesting scientific articles by browsing their titles. Implicit feedback is inferred from eye movement signals, with discriminative hidden Markov models estimated from existing data in which explicit relevance feedback is available. Collaborative filtering is carried out using the User Rating Profile model, a state-of-the-art probabilistic latent variable model, computed using Markov Chain Monte Carlo techniques. For new document titles the prediction accuracy with eye movements, collaborative filtering, and their combination was significantly better than by chance. The best prediction accuracy still leaves room for improvement but shows that proactive information retrieval and combination of many sources of relevance feedback is feasible.