Multi-Modal Technology for User Interface Analysis including Mental State Detection and Eye Tracking Analysis

Multi-Modal Technology for User Interface Analysis including Mental State Detection and Eye Tracking Analysis

We present a set of easy-to-use methods and tools to analyze human attention, behaviour, and physiological responses. A potential application of our work is evaluating user interfaces being used in a natural manner. Our approach is designed to be scalable and to work remotely on regular personal com...

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Bibliographic Details
Main Author: Husseini Orabi, Ahmed
Other Authors: Lethbridge, Timothy
Language:en
Published: Université d'Ottawa / University of Ottawa 2017
Subjects:
Computer vision
Convolutional Neural Network
Multimodal Deep learning
Machine learning
HCI
Usability
Affective computing
Mental states
Eye tracking
Software engineering
Psychophysiology
Pipeline
Umple
Component-based Development
Emotion
Facial Action Coding System
Facial Expression
Online Access:http://hdl.handle.net/10393/36451
http://dx.doi.org/10.20381/ruor-20731

Internet

http://hdl.handle.net/10393/36451
http://dx.doi.org/10.20381/ruor-20731

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