Identifying collaborators activities from web-mediated dialogs: The activity states framework approach

Nik Nailah Binti Abdullah*, Samuel Mendes, Stefano A. Cerri, Shinichi Honiden

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationActivity Context Representation
Subtitle of host publicationTechniques and Languages - Papers from the 2012 AAAI Workshop, Technical Report
Pages18-25
Number of pages8
Publication statusPublished - 2012
Externally publishedYes
Event2012 AAAI Workshop - Toronto, ON, Canada
Duration: 2012 Jul 232012 Jul 23

Publication series

NameAAAI Workshop - Technical Report
VolumeWS-12-05

Other

Other2012 AAAI Workshop
Country/TerritoryCanada
CityToronto, ON
Period12/7/2312/7/23

ASJC Scopus subject areas

  • Engineering(all)

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