Università Roma Tre

The aim of the course is to introduce the main concepts regarding innovative modalities for human-machine interaction, focusing on the employed signal processing techniques.
The human characteristics of perceptual, cognitive, and emotional information processing are treated, discussing their consequences on the design and usability evaluation of interactive interfaces.
The considered scenarios include mobile applications, home automation, and wearable devices, comprising speech processing techniques, interpretation of gestures and behaviors, affective computing, and brain-computer interfaces

Course slide
Slide del corso
A. Dix, J. Finlay, G. D. Abowd, R. Beale, Human-Computer Interaction, Pearson, 2004
G. J. Kim, Human-Computer Interaction - Fundamentals and Practice, CRC, 2015
L. R. Rabiner, R. W. Schafer, Theory and Applications of Digital Speech Processing, Pearson, 2011
V. G. Motti, Wearable Interaction, Springer, 2020
D. Bansal, R. Mahajan, EEG-Based Brain-Computer Interfaces - Cognitive Analysis and Control Applications, Elsevier, 2019
S. Poria, A. Hussain, E. Cambria, Multimodal Sentiment Analysis, Springer, 2018