Intelligent Human Computer Interaction

This book constitutes the thoroughly refereed proceedings of the 9th International Conference on Intelligent Human Computer Interaction, IHCI 2017, held in Evry, France, in December 2017.

The 15 papers presented together with three invited papers were carefully reviewed and selected from 25 submissions. The conference is forum for the presentation of technological advances and research results at the crossroads of human-computer interaction, artificial intelligence, signal processing and computer vision.

This book is open access under a CC BY license.

Klappentext
This book is open access under a CC BY license.

Inhalt

Can Machines Design? Optimizing User Interfaces for Human Performance.- Geometrical Shapes Rendering on a Dot-Matrix Display.- Dynamic Hand Gesture Recognition for Mobile Systems Using Deep LSTM.- Adjustable Autonomy for UAV Supervision Applications Through Mental Workload Assessment Techniques.- Classification of Motor Imagery Based EEG Signals Using Sparsity Approach.- Mental Workload Assessment for UAV Traffic Control Using Consumer-Grade BCI Equipment.- Improving Classification Performance by Combining Feature Vectors with A Boosting Approach for Brain Computer Interface (BCI).- List Navigation Using Edge Menu.- Simplexity and Vicariance. On Human Cognition Principles for Man-Machine Interaction.- Design Considerations for Self-paced Interactive Notes on Video Lectures - A Learner's Perspective and Enhancements of Learning Outcome.- Using Psycholinguistic Features for the Classification of Comprehenders from Summary Speech Transcripts.- Lector: Towards Reengaging Students in theEducational Process Inside Smart Classrooms.- Predicting Driver's Work Performance in Driving Simulator Based on Physiological Indices.- Interpersonal Human-Human and Human-Robot Interactions.- Exploring the Dynamics of Relationships Between Expressed and Experienced Emotions.- Standard Co-training in Multiword Expression Detection.- Comparative Study on Normalization in Emotion Recognition from Speech.- Detecting Vigilance in People Performing Continual Monitoring Task.