文章基本信息

标题：Activity theory based context model: application for enterprise intelligent assistant systems
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作者：Mohamed Anis Dhuieb ; Mohamed Anis Dhuieb ; Florent Laroche 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：3
页码：834-839
DOI：10.1016/j.ifacol.2015.06.187
语种：English
出版社：Elsevier
摘要：Abstract In dynamic working environments such as factory production lines, the process of decisionmaking combines different types of data and knowledge available in different forms. In many cases, elements impacting decisions are not totally mastered by the decision support system since the activity of the user is highly influenced by the dynamic change of the production system. Thus, in order to set the appropriate context elements surrounding different working situations of factory actors, this paper proposes a context model aiming to represents user's activity and the circumstances under the decisionmaking process. The literature of related works highlighted the advantages of context-awareness in supporting the dynamic adaptation of information according to user's context. The proposed model in this paper takes advantage from the context notion and the fundaments of the activity theory proposed in cognitive science. The intended model is used in an intelligent assistant system dedicated to assist factory workers in the manufacturing process. The main purpose of the context model is to help the assistant system in handling the process of knowledge adaptation and therefore, avoiding the problems of overload and misinterpretation of the information.
关键词：Keywordscontext modellingworking situationactivity theoryintelligent knowledge-based systems