title: Automatic quantitative evaluation of emotions in E-learning applications.
abstract: The long term goal of our research is to develop a tool for recognizing human emotions during e-learning processes. This could be accomplished by combining quantitative indexes extracted from non-invasive recordings of four physiological signals: namely skin conductance, blood volume pulse, electrocardiogram and electroencephalogram. Wearable, non-invasive sensors, communicating with a PC, were applied to 30 students and data were collected during exposure to three different computer-mediated content stimuli designed to evoke specific emotional states: stress, relaxation and engagement. In this paper we describe both the general emotion evaluation algorithm, and present a preliminary results suggesting that some of the quantitative indexes may be successful in characterizing and distinguishing between the three different emotional states.
authors.affiliation: Bioengineering Department, Polytechnic University, Milan, Italy. stefano.scotti@polimi.it
authors.forename: Stefano
authors.initials: S
authors.lastname: Scotti
authors.forename: Maurizio
authors.initials: M
authors.lastname: Mauri
authors.forename: Riccardo
authors.initials: R
authors.lastname: Barbieri
authors.forename: Bassam
authors.initials: B
authors.lastname: Jawad
authors.forename: Sergio
authors.initials: S
authors.lastname: Cerutti
authors.forename: Luca
authors.initials: L
authors.lastname: Mainardi
authors.forename: Emery N
authors.initials: EN
authors.lastname: Brown
authors.forename: Marco A
authors.initials: MA
authors.lastname: Villamira
mesh_terms: D000328:Adult; D000465:Algorithms; D001185:Artificial Intelligence; D003194:Computer-Assisted Instruction / Q000379:methods*; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D004644:Emotions / Q000145:classification* / Q000502:physiology*; D005260:Female; D006801:Humans; D020407:Internet; D008297:Male; D008991:Monitoring, Physiologic / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*