Stuff I've seen: a system for personal information retrieval and re-use
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Combining eye movements and collaborative filtering for proactive information retrieval
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
MyLifeBits: a personal database for everything
Communications of the ACM - Personal information management
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Learning to learn implicit queries from gaze patterns
Proceedings of the 25th international conference on Machine learning
GaZIR: gaze-based zooming interface for image retrieval
Proceedings of the 2009 international conference on Multimodal interfaces
Visual attention for implicit relevance feedback in a content based image retrieval
Proceedings of the 2010 Symposium on Eye-Tracking Research & Applications
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
Adaptive timeline interface to personal history data
Proceedings of the 15th ACM on International conference on multimodal interaction
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We have developed a browser suitable for finding events from timelines, in particular from life logs and other timelines containing a familiar narrative. The system infers the relevance of events based on the user's browsing behavior and increases the visual saliency of relevant items along the timeline. As recognized images are strong memory cues, the user can quickly determine if the salient images are relevant and, if they are, it is quick and easy to select them by clicking since they are salient. Even if the inferred relevance was not correct, the timeline will help: The user may remember if the sought event was before or after a saliently shown event which limits the search space. A user study shows that the browser helps in locating relevant images quicker, and augmenting explicit click feedback with implicit mouse movement patterns further improves the performance.