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Keynote Presentation
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"The Impact of Immersion on Human-Computer Interaction"
By Professor Anthony Steed, Head of Virtual Environments
and Computer
Graphics, University College London, United Kingdom
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Bio
Professor
Anthony Steed is head of the Virtual Environments and Computer
Graphics group at University College London.
He received his PhD from University of London in 1996 for work
on interactive virtual environments. His current
research interests are in very large 3D model rendering,
immersion and presence in virtual environment displays,
mixed-reality system and interaction and collaboration between
users of virtual environments systems.
Abstract
In the 1990s, the vision of virtual reality was that in the
next generation of human-computer interaction, users would
see, hear and touch computer-generated sensory information. It
was argued that key to virtual reality was that users
were immersed into the virtual world, and that the virtual
world surround them. The vision required the use of
head-mounted displays or CAVE systems, surround audio and a
range of user sensing systems.
Needless to say, this vision didn't radically change most
users' experience of HCI: the technology was too expensive,
too cumbersome and just not easy to access. The use of virtual
reality has been confined to a small number of niche
high-value applications.
Having said that, over the past couple of years, all the
component parts for a virtual reality system have become
available in consumer form: position tracking technologies,
fast stereo projectors, multi-channel video systems, etc. They
are being assembled in various configurations but in variants
of the virtual reality paradigm where computer generated
stimuli are mixed into the real world setting. Such systems
are often known as mixed-reality systems.
In this talk I will present an argument for how understanding
the impact of immersion can inform the design and critique
of these emerging mixed-reality systems. Key will be the way
in which we can use proprioceptive information in HCI. I
will illustrate this argument with a series of virtual reality
and mixed-reality systems that have attempted to support
simple face to face communication tasks.
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"Intelligent Pattern Recognition and Applications ---
Modeling and Simulation in Interactive E-Learning"
By
Prof. Patrick S.P. Wang, Ph.D., Fellow, IAPR , ISIBM and
WASE Northeastern University Boston, ECNU, Shanghai,
NTUST, Taipei |
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Bio
Prof. Patrick S.P. Wang, PhD. Fellow of IAPR,ISIBM and WASE,
IEEE Outstanding Achievement Awardee, and is Tenured
Full Professor, Northeastern University, USA, iCORE
(Informatics Circle of Research Excellence) Visiting
Professor, University
of Calgary, Canada, Otto-Von-Guericke Distinguished Guest
Professor, Magdeburg University, Germany, Zijiang Visiting
Chair, ECNU, Shanghai, China, as well as honorary advisory
professor of several key universities in China, including
Sichuan University, Xiamen University, East China Normal
University, Shanghai, and Guangxi Normal University, Guilin.
Prof.
Wang received his BSEE from National Chiao Tung University
(Jiaotong University), MSEE from National
Taiwan University, MSICS from Georgia Institute of Technology,
and PhD, Computer Science from Oregon State University.
Dr. Wang has published over 23 books, 130 technical papers, 3
USA/European Patents, in PR/AI/TV/Cybernetics/Imaging,
and is currently founding Editor-in-Chief of IJPRAI
(International Journal of Pattern Recognition and Artificial
Intelligence) ,
and Book Series of MPAI, WSP. In addition to his technical
interests, Dr. Wang also published a prose book,
“Harvard Meditation Melody” 《哈佛冥想曲》and many articles and poems
regarding Du Fu and Li Bai’s poems,
Beethoven, Brahms, Mozart and Tchaikovsky’s symphonies, and
Bizet, Verdi, Puccini and Rossini’s operas.
Abstract
This talk
deals with fundamental aspects of Intelligent Pattern
Recognition (IPR) and applications. It basically includes
the following: Overview of 3D Biometric Technology and
Applications, Importance of Security: A Scenario of Terrorists
Attack,, What are Biometric Technologies? Biometrics: Analysis
vs Synthesis, Analysis: Interactive Pattern
Recognition Concept, Importance of Measurement, How it works:
Fingerprint Extraction and Matching, Iris, and Facial
Analysis, Authentication Applications, Thermal Imaging:
Emotion Recognition. Synthesis in Biometrics, Modeling and
Simulation, and more Examples and Applications of 3D
Biomedical Imaging in Interactive Web/Video Networking
Fuzzy e-Learning Environment. Finally, some future research
directions are discussed.
Intended Audience: Scientists and engineers, with some
computer science, artificial intelligence, pattern
recognition,
and/or image processing background or working experience.
Why this topic would be of interest to a substantial part
of the audience:
Attendees can learn basic concept of “biometrics”, which
is of growing interest and importance in recent years, and
its applications in many fields, including engineering,
scientific experiments, bio-medical imaging, pattern
recognition,
and homeland national security.
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