|
Professor Harry Wechsler |
e-mail : wechsler@cs.gmu.edu
|
SPRING 2004
CS777 - Human-Computer Intelligent
Interaction
Class
Information
001 05108 Thursday
Office Hours
Thursday
Textbook
Ben Shneiderman, Designing the User Interface –
Strategies for Effective Human - Computer Interaction,
3rd. ed., Addison Wesley, 1998.
References
R. Cipolla and A. Pentland (Eds.), Computer-Vision
for Human-Machine Interaction,
A. Jain, R. Bolle
and S. Pankanti (Eds.), BIOMETRICS,
Personal Identification in Networked Society, Kluwer,
1999.
R. Beacker, J. Grudin,
W. Buxton and
Computer Interaction, Morgan Kaufmann, 1995.
M. Maybury and
G. Langton (Ed.), Artificial Life - An Overview, MIT Press, 1997.
P. Maes (Ed.), Designing Autonomous Agents, MIT Press, 1994.
Contents
The course covers current interdisciplinary research and technological advances in Human - Computer Interaction (HCI), Human-Centered Systems (HCS) and BIOMETRICS. In every day use of computers to solve human problems, a central and crucial factor is the flow of information and control between human and machine. Towards that end SMART INTERFACES would adapt the interface medium to meet specific users’ needs and demands. The emergence of human-centered interaction buttresses the utilization of both verbal and nonverbal communication to create a richer, more versatile and effective environment for human activity. Human-centered design is problem-driven, activity-centered, and context-bound. It employs computing technology as a tool for the user, not as a substitute. The emphasis is on supporting human activity using adaptive and smart interfaces rather than on building (fully) autonomous systems that mimic humans.
One approach to HCS employs intelligent system technology and seeks to make HCI systems "team players" in the context of human activity, where people and computer technology interact to achieve a common purpose. Another approach for HCI focuses on building effective computational tools, known as SMART INTERFACES for modeling, interpreting, fusing and analyzing cognitive and social interactions such as speech, vision, gesture, haptic inputs, and/or affective state expressed using body [and face] language. The goal for smart interfaces is to expand on the human perceptual, intellectual, and motor activities. The technology and tools proposed should have the added benefit of developing a framework by which one can improve our predictions of the consequences of various interface decisions on behavior.
Complementary to HCI
is the field of BIOMETRICS, which is concerned with the need to
authenticate ourselves to machines. Biometrics
is a measurable, physical characteristics or personal behavioral trait used to
recognize the identity, or verify [authenticate] the claimed identity, of an
enrollee. Biometrics include physical (physiological) and behavioral
characteristics. Biometrics can’t be forgotten, transferred, lost or
forged.
The course emphasizes that human behavior encompasses both apparent performance and the hidden mental state behind performance. Towards that end we discuss an integrated system approach that can measure the corresponding perceptual and cognitive states of the user, and adapt the HCI and reconfigure the computing environment for enhanced human performance and satisfaction. Students are expected to complete a term project and to make an in depth presentation on a topic related to Human Computer Intelligent Interaction (HCII) / HCS / SMART INTERFACES / or BIOMETRICS.
Grade Policy
-
Semester project
of your HCI choice as team project 60%
- in depth presentation / survey report on HCI topics related to your
project 20%
-
class presentation on reading assignments 20%
Important Dates
Spring
Break -- March 12
Last
day of Classes -- April 29
Project
& Survey Presentation -- April 29 and May 6