research in the age of the context machine
DESCRIPTION
Keynote at CAGIS workshop on September 23 at GIScience 2014 in Vienna, Austria.TRANSCRIPT
RESEARCH IN THE AGE OF THE CONTEXT MACHINE
Carsten Keßler Center for Advanced Research of Spatial Information & Department of Geography
Hunter College, City University of New York
CONTEXT IS EVERYTHING
A system is context-aware if it uses
context to provide relevant information
and/or services to the user, where relevancy depends on the user’s task.
!
A. K. Dey. Understanding and Using Context. Personal Ubiquitous
Computing, 5(1):4–7, 2001, p 40
“
OUTLINE
• Evolution of context-aware systems
• From location-based to context aware systems
• 3 research challenges for GIScience
BACK IN THE DAYS
Schmidt, Albrecht, Michael Beigl, and Hans-W. Gellersen. "There is more to context than location."
Computers & Graphics 23.6 (1999): 893-901.
FAST FORWARD ▶▶
Location Weather POIs Things & people in the vicinity !
Social Friends Family Communication !
Personal Movement & Sleep Schedule Interests !
!
!
!
Technical Connected devices Wireless environment
FROM LOCATION BASED TO CONTEXT AWARE
RESEARCH CHALLENGES
CONTEXT REPRESENTATION AND INTEGRATION
I
★
Location
SocialPersonal
Technical
★
Baldauf, M., Dustdar, S. and Rosenberg, F. (2007) ‘A survey on context-aware systems’, Int. J. Ad Hoc and Ubiquitous Computing, Vol. 2, No. 4, pp.263–277
RESEARCH QUESTIONS
• Leaving implementation issues aside, what are the
conceptual relations between different kinds of context?
• Can context-awareness learn from our experience with GIS?
• Can we identify and handle these conceptual relations with
the tools we have, or does it need more?
CONTEXTUAL RELEVANCE MODELS
II
ContextModel
Potential context information
Available context information
Relevant context information
constrained by available sensors, cost, technologicconstraints…
constrained by effect on task outcome
RESEARCH QUESTIONS
• How to determine which contextual information is relevant
for a task?
• Does this set of contextual parameters change between
users?
• How can we predict this set of parameters when we don’t
even know the user yet?
PRIVACY AND AWARENESS
III
RESEARCH QUESTIONS
• How can we put the users back in control of the context
information they share?
• How can we minimize the amount of context information
being shared, without impairing service quality?
• What can be done on the device, without sharing any
information with third parties?
