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ToCHI: Data Mining for Understanding User Needs

Thursday, April 15
2:30 PM - 4:00 PM

Potential for Personalization
Jaime Teevan, Microsoft Research, USA
Susan T. Dumais, Microsoft Research, USA
Eric Horvitz, Microsoft Research, USA

Identifies what different people consider relevant to the same query using explicit relevance judgments and implicit measures (click behavior and desktop content); applies to a personalized search system.

Brief encounters: sensing, modelling and visualizing urban mobility and copresence networks
Vassilis Kostakos, University of Madeira, Portugal
Eamonn O'Neill, University of Bath, UK
Alan Penn, University College London, UK
Dikaios Papadogkonas, Birkbeck College, UK
George Roussos, Birkbeck College, UK

We develop and apply a toolkit of algorithms and visualisation techniques to model and make sense of spatial and temporal patterns in urban mobility, presence and encounter network traces.

Creating a Lightweight UIDL: An Overview and Analysis of the Personal Universal Controller Project
Jeffrey Nichols, IBM Research, USA
Brad A. Myers, Carnegie Mellon University, USA

We describe lessons for the design of a User Interface Description Language (UIDL) based on six years of investigation as part of the Personal Universal Controller project.