The Emotions & Learning Optimization (ELO) Lab uses integrated multi-channel technology to understand emotional responses to learning. The technology we use was designed to offer real-time analysis of learners’ emotional and psychophysiological states.

iMotions

iMotions Affectivia uses the AFFDEX engine to offer a facial emotion coding system that measures 7 Basic Emotions: Joy, Anger, Surprise, Fear, Contempt, Sadness and Disgust.

These emotions are coded based on the Facial Action Coding System (FACS; Ekman & Friesen, 1978), which codes movement in activating facial muscles to derive a score for facial expressions.

Image
An image showcasing how iMotion codes a persons facial expressions.

iMotions (c) 2018

Image
A person using iMotions and frowning.

A person using iMotions and frowning.

Image
A person using iMotions and waving.

A person using iMotions and waving.

Image
A person using iMotions and typing.

A person using iMotions and typing.

Electrodermal Activity (EDA)

Electroderal activity (EDA) is an analysis of the electrical conductance of the skin. Sensors placed on the skin conduct an electrical signal that signifies changes in arousal.

ELO researchers use EDA to monitor physiological responses that correspond to emotional responses and engagement during learning. 

Image
Two people setting up EDA technology.

Two people setting up EDA technology.

Electroencephalography (EEG)

Electroencephalography (EEG) monitors electrical activity in the brain, which are indicators of physiological and psychological states.

ELO uses BioPac MP160 with AcqKnowledge 5.0 to monitor resonant brain waves that correspond to other psychophysiological responses such as EDA and iMotions.

Image
Two people setting up EEG technology.