Identifying Collaborators Activities from Web-Mediated Dialogs: The Activity States Framework Approach
Abdullah, Nik Nailah Binti (Mimos Berhad) | Mendes, Samuel (Laboratoire d’Informatique, de Robotique et de Microelectronique de Montpellier) | Cerri, Stefano A (Laboratoire d’Informatique, de Robotique et de Microelectronique de Montpellier) | Honiden, Shinichi (National Institute of Informatics)
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.
Jul-21-2012
- Country:
- Europe
- United Kingdom > England
- Cambridgeshire > Cambridge (0.04)
- France > Occitanie
- Hérault > Montpellier (0.04)
- United Kingdom > England
- Asia
- Malaysia > Kuala Lumpur
- Kuala Lumpur (0.04)
- Japan > Honshū
- Kantō > Tokyo Metropolis Prefecture > Tokyo (0.14)
- Malaysia > Kuala Lumpur
- Europe
- Genre:
- Workflow (0.48)
- Instructional Material (0.34)
- Technology: