Tutorial Videos: New in Noldus FaceReader 6!

By Todd BlayoneExperience, Tutorials, , , , , , , Comments are off

EILab, UOIT, CanadaThe following summarizes new features of Noldus FaceReader 6 and the research on which it is based. FaceReader is a sophisticated software application available in the EILab, Faculty of Education, UOIT. FaceReader 6 detects the six basic emotions defined by Eckman, and also contempt. Additionally, it offers major enhancements to FaceReader 5 in several areas.

What’s new in FaceReader 6?

FaceReader™ 6 provides automatic analysis of six basic facial expressions–happy, sad, scared, disgusted, surprised, and angry–as well as classifying neutral and now contempt. FaceReader 6 provides gaze direction, head orientation, and person characteristics, such as gender and age. Detailed analysis of facial action units is also available. The software analyzes your data in three modes: live, video, or still images.*

New East Asian Recognition Models

There are multiple face models available in FaceReader. In addition to the general model, which works well under most circumstances for most people, there are specific models for East Asian people, elderly, and children. In order to improve the East-Asian model, classifiers for expression analyses of East-Asian people were newly trained with over 4.000 images.*

New Emotion Classification: Contempt

FaceReader 6 now also automatically classifies contempt. Contempt is defined as the feeling that a person or a thing is beneath consideration, worthless, or deserving scorn and therefore seen as a negative emotion.*

New Circumplex Model of Affect

The circumplex model of affect describes the distribution of emotions in a 2D circular space, containing arousal and valence dimensions. FaceReader offers a real-time representation of this model with the horizontal axis representing the valence dimension (pleasant – unpleasant) and the vertical axis representing the arousal dimension (active – inactive). Facial expressions automatically measured with FaceReader, can be represented at any level of valence and arousal. (See: Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39 ( 6 ), 1161.)*

New Action Unit Analysis

FaceReader now analyzes a selection of 20 commonly used Action Units, such as raising of cheeks, wrinkling of nose, dimpling, and lip tightening.*

Improved Project Analysis Module

The Project Analysis Module can be used for advanced analysis and reporting. Version 6 allows you to compare responses to different video stimuli in one view, offering insights into the effects of stimuli. Add the video stimuli of your choice, with or without sound. This release offers grouping participants, reporting multiple stimuli at once, and creating templates. FaceReader 6 also allows you to add independent variables such as educational level or previous knowledge level which allows you to group your participants (i.e. female with high education level).*

*With thanks to noldus.com.