使用EMASPEL框架的实时情感学习者概况分析

Mohamed Neji, M. Ben Ammar, A. Alimi
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引用次数: 5

摘要

本文研究了信息检索系统(Information Retrieval System, IRS)中包含用户心理状态、情感状态、精神状态和面部表情等新颖性维度的信息检索问题。本文提出了一种基于人类行为的信息检索系统。详细描述了该系统的体系结构。该IRS将被整合到EMASPEL电子学习框架中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time affective learner profile analysis using an EMASPEL framework
This paper deals with the problem of Information Retrieval System (IRS) that integrate the user profile that contains novelty dimensions such as psychological state, emotional state, mental state and facial expression. In this paper, we propose an information retrieval system based on human behavior. The architecture of the proposed system is described in details. This IRS will be integrated in EMASPEL E-Learning Framework.
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