Title :
Real-time affective learner profile analysis using an EMASPEL framework
Author :
Neji, Mohamed ; Ben Ammar, Mohamed ; Alimi, Adel M.
Author_Institution :
Res. Group on Intell. Machines, Univ. of Sfax, Sfax, Tunisia
Abstract :
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.
Keywords :
behavioural sciences; computer aided instruction; information retrieval systems; EMASPEL e-learning framework; IRS; human behavior; information retrieval system; real-time affective learner profile analysis; user profile; Conferences; Emotion recognition; Engineering education; Humans; Information retrieval; Speech recognition; Training; Information Retrieval System; emotional state; human behavior; user profile;
Conference_Titel :
Global Engineering Education Conference (EDUCON), 2011 IEEE
Conference_Location :
Amman
Print_ISBN :
978-1-61284-642-2
DOI :
10.1109/EDUCON.2011.5773210
