A Survey on Intelligent User Interface for the Learning of Verbal Communication Skills

PhD Qualifying Examination


Title: "A Survey on Intelligent User Interface for the Learning of Verbal 
Communication Skills"

by

Mr. Xingbo WANG


Abstract:

Verbal communication skills — delivering messages with adaptive content 
and engaging vocal expression — are becoming increasingly important in 
many social settings (e.g., public speaking, job interviews, everyday 
communication). A good mastery of these skills has become crucial for both 
our career and everyday life. To facilitate the learning process, many 
researchers have tried to combine computational technologies with HCI 
techniques to build intelligent user interfaces. These intelligent user 
interfaces automatically evaluate the users’ verbal and vocal behaviors 
and engage users in an interactive environment for improving their verbal 
communication skills.

In this survey, we aim to study computational methods for understanding 
verbal and vocal behaviors and user interfaces for effective learning of 
verbal communication skills. Specifically, we first introduce the social 
signal processing (SSP) techniques for automatic assessment of verbal 
communication skills. Then, new taxonomies for user interface techniques 
are constructed, with an emphasis on feedback designs. Next, we review the 
related work based on three types of feedback strategy provided by user 
interfaces: prior feedback, live feedback, and posterior feedback. Since 
visualization is widely employed in many user interfaces, we further 
discuss the visualization techniques for speech data. The survey ends with 
a discussion on future research opportunities.


Date:			Tuesday, 9 June 2020

Time:                  	10:00am - 12:00noon

Zoom meeting:           https://hkust.zoom.us/j/4210096111

Committee Members:	Prof. Huamin Qu (Supervisor)
 			Dr. Pan Hui (Chairperson)
 			Dr. Xiaojuan Ma
 			Prof. Pascale Fung (ECE)


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