User Study of Emotional Visualization Dashboard for Educational Software

EasyChair Preprint 38

Abstract

This paper describes a user study on the MADE Dashboard, our proposed data visualization dashboard that supports educators to inspect and reflect on the emotional states of students using web learning applications. Our goal was to support the system designer, and indirectly also teachers and students. Our dashboard follows affective learning models, and monitors online learner emotions. It uses an open source library that supports tracking of facial features and detection of emotions in real time, identifying six different emotions. We present a user study to determine whether the data visualization graph can be interpreted properly.

Keyphrases: Design, Education Software, affective learning, user testing

@booklet{EasyChair:38,
  author    = {Reza Ghasemaghaei and Ali Arya and Robert Biddle},
  title     = {User Study of Emotional Visualization Dashboard for Educational Software},
  doi       = {10.29007/mcs1},
  howpublished = {EasyChair Preprint 38},
  year      = {EasyChair, 2018}}