AAAI Publications, Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence

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Identifying Collaborators Activities from Web-Mediated Dialogs: The Activity States Framework Approach
Nik Nailah Binti Abdullah, Samuel Mendes, Stefano A Cerri, Shinichi Honiden

Last modified: 2012-07-15

Abstract


We have explored with three notions: conceptualization, and contextualization from situated cognition, and psychic reflection from activity theory for identifying activities into a method called the activity states framework (ASF). The purpose of our work is to build an AI system based on ASF for the identification of collaborators activities during situated context, e.g., collaborators are engaged in a tutorial activity. In this paper, we will introduce and propose how Web-mediated collaborative activities can be identified from collaborators communication exchanges by applying the ASF.

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