Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

Visually Dependent Nonverbal Cues and Video Communication

David Tong Nguyen

EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2008-48
May 12, 2008

http://www.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-48.pdf

Humans have a rich verbal and nonverbal language that allows us to communicate in powerful ways. Technology continues to play a significant role in enabling and enhancing the ways we communicate with each other when we are geographically separated. Machines capture our expressions and transmit them anywhere in the world for distant partners. But how expression is captured and how it is presented can have surprising effects on the way people communicate. In this dissertation, I present background, designs, and evaluations of a new video conferencing system called MultiView which aims to improve the group-to-group video conferencing experience. I will (1) show the dependence of spatial information for the effective communication of nonverbal information such -- as eye contact -- and formalize the spatial shortcomings of modern video conferencing system design, (2) introduce a design based on a new multiple-perspective display to address these shortcomings, and (3) show that the MultiView design can effectively capture and present nonverbal cues in a natural way and that this new ability dramatically improves trust formation between remotely meeting groups.

Advisor: John F. Canny


BibTeX citation:

@phdthesis{Nguyen:EECS-2008-48,
    Author = {Nguyen, David Tong},
    Title = {Visually Dependent Nonverbal Cues and Video Communication},
    School = {EECS Department, University of California, Berkeley},
    Year = {2008},
    Month = {May},
    URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-48.html},
    Number = {UCB/EECS-2008-48},
    Abstract = {Humans have a rich verbal and nonverbal language that allows us to communicate in powerful ways. Technology continues to play a significant role in enabling and enhancing the ways we communicate with each other when we are geographically separated. Machines capture our expressions and transmit them anywhere in the world for distant partners. But how expression is captured and how it is presented can have surprising effects on the way people communicate.

In this dissertation, I present background, designs, and evaluations of a new video conferencing system called MultiView which aims to improve the group-to-group video conferencing experience. I will (1) show the dependence of spatial information for the effective communication of nonverbal information such -- as eye contact -- and formalize the spatial shortcomings of modern video conferencing system design, (2) introduce a design based on a new multiple-perspective display to address these shortcomings, and (3) show that the MultiView design can effectively capture and present nonverbal cues in a natural way and that this new ability dramatically improves trust formation between remotely meeting groups.}
}

EndNote citation:

%0 Thesis
%A Nguyen, David Tong
%T Visually Dependent Nonverbal Cues and Video Communication
%I EECS Department, University of California, Berkeley
%D 2008
%8 May 12
%@ UCB/EECS-2008-48
%U http://www.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-48.html
%F Nguyen:EECS-2008-48