Exploratory and Contextual Search with Interactive Intent Modelling

The 4th International Workshop on Cognitive Information Processing (CIP) has recently been held in Copenhagen,  bringing together researchers from the machine learning, cognitive engineering, human-machine interaction, pattern recognition, statistical signal processing in an effort to promote and encourage cross-fertilization of ideas and tools.

The workshop featured, among others, one of MindSee partners: Prof Kaski (Aalto University and University of Helsinki, Finland) where he was keynote speaker with a presentation titled: Exploratory and Contextual Search with Interactive Intent Modelling (slides available here).

The talk discussed the work and methods he and his team have developed for improving information seeking by interactive intent modelling, and have demonstrated the methods with two systems. SciNet is an interactive search system for scientific documents, in which the user directs the search by giving feedback for estimated search intents. In the current version of SciNet the potential intents are represented by keywords and laid out on an "intent radar" display which visualizes both their estimated relevances and similarity. Probabilistic language modelling and reinforcement learning are combined with new visualization methods for search in over 50 million scientific documents, outperforming conventional searches in user experiments. The other system is a prototype augmented reality (AR) platform for accessing abstract information in real-world pervasive computing environments. The user's interests with respect to the environment are inferred from eye movement patterns, speech, and other implicit feedback signals, and these data are used for information filtering. The results of proactive context-sensitive information retrieval are augmented onto the view of a handheld or head-mounted display or uttered as synthetic speech. The augmented information becomes part of the user's context, and if the user shows interest in the AR content, the system detects this and provides progressively more information.

More information is available on the CIP2014 websites where slides from the presentations can be downloaded.