SPECTER is a personal assistant that keeps track
of its user's actions and affective states. It creates a personal
journal which, together with a user model learned on
the basis of it, supports the generation of context-appropriate
recommendations and actions.
Application scenarios for SPECTER include visits
of company representatives to other companies, participation in
trade fairs, and assistance during shopping trips. In order to demonstrate
the project goals a prototype is currently developed, which combines
semantic web technologies with an instrumented environment.
Research in the SPECTER project addresses six interrelated
topics, focusing primarily on issues that have received relatively
little attention in previous research.
Funding and Duration
Extension of Perception: How can SPECTER
communicate with objects in an instrumented environment and
record the user's actions and affective states in the personal
journal, without endangering the user's privacy and sense
Learning About Behavior and Affect:
How can SPECTER mine the personal journal to learn a model
of the user's preferences, habits, and typical affective reactions?
Augmentation of Decision Making and Effecting:
How can SPECTER exploit the user model and the personal journal
to provide context-appropriate recommendations and assistance?
Reflection and Introspection: How can
SPECTER enable the user to explore and modify the user model
and the personal journal and to assist SPECTER in its learning?
Usability Engineering: Since the beginning
of the project, studies with users have aimed to ensure that
SPECTER's functionality and style of behavior meet the requirements
of potential users.
System Integration: A hardware and
software infrastructure is being built up that allows SPECTER
to be demonstrated and evaluated in instrumented environments.
Research on SPECTER is being sponsored by the German
Federal Ministry for Education and Research (BMB+F) under contract
524-40001-01 IW C03 from January 2003 through December 2005.