Facereader

Method suitability

Study type

Field studies
XLab studies
Online studies
Questionnaire

Development phase

Concepts
Early prototypes
XFunctional prototypes
XProducts on market

Studied period of experience

Before usage
Snapshots
XAn episode
Long-term UX

Evaluator / Info provider

UX experts
XOne user at a time
Groups of users
Pairs of users

Data

Qualitative
XQuantitative

Applications

XWeb services
XPC software
XMobile software
Hardware designs
Other:

Requirements

Trained researcher
XSpecial equipment

Summary

FaceReader is a tool to track the user affective state while using products or software without resorting to self-report.

Description

Real-time analysis of facial expression from a video.
FaceReader constructs a model of the face from the video and automatically evaluate several elementary facial movements (action units). Based on these movements it calculates the likeliness that each of six basic emotions (joy, anger, sadness, surprise, fear and disgust) is felt at any given time. Tests from the provider of the software indicate a success rate of up to 90% with frontal face images.



Weaknesses

Data limited to six basic emotions.

The video has to be captured during a test with a real product, limiting the usefulness of FaceReader in the early stages of the design process.

References describing the method

Uyl, M. den, Kuilenburg, H. van & Lebert, E. (2005). FaceReader: an online facial expression recognition system. Measuring Behavior 2005, 5th International Conference on Methods and Techniques in Behavioral Research, 30 August - 2 September 2005, Wageningen, The Netherlands.

References about quality of the method

No independent test available. (?)

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