Computational support for work-integrated learning will gain more and more attention. We understand informal self-directed work-integrated learning of knowledge workers as a by-product of their knowledge work activities and propose a conceptual as well as a technical approach for supporting learning from documents and learning in interaction with fellow knowledge workers. The paper focuses on c...

A movement has ignited amongst government agencies to extend their efforts for obtaining wide input on contentious public issues. These projects face challenges related to scale and political capture. But new sociotechnical approaches that leverage nascent structures of distributed work and interaction exhibited in the social web may help address these issues. Instead of emphasizing the exchang...

Abstract. As a platform for unsupervised data mining and pattern recognition, we use Correspondence Analysis on Twitter content from May to December 2015. The following data characteristics are well addressed: exponentially distributed data properties, and major imbalance between categories. Contextualization is supported. To both focus on informative resolution scale in one’s data, and to hand...

—We present the MobiLife approach to contextual adaptation of multimodal mobile applications for individual users. In particular, we show that integration of user-interface adaptation, contextualization and personalization components of the MobiLife system architecture enables a personal and situational context-dependent provisioning of applications such as the 'Multimedia Infotainer'. User pre...

Recently, interpretable vector spaces have been introduced, vector spaces in which individual dimensions are meaningful. For polysemous words, interpretable vectors mix features from different senses. In this paper, we propose the task of computing contextspecific interpretable representations for individual senses of a word. Focusing on computing features that describe circumstances of an even...