research in the age of the context machine

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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

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Keynote at CAGIS workshop on September 23 at GIScience 2014 in Vienna, Austria.

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Page 1: Research in the Age of the Context Machine

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

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CONTEXT IS EVERYTHING

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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

Page 4: Research in the Age of the Context Machine

OUTLINE

• Evolution of context-aware systems

• From location-based to context aware systems

• 3 research challenges for GIScience

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BACK IN THE DAYS

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Page 7: Research in the Age of the Context Machine

Schmidt, Albrecht, Michael Beigl, and Hans-W. Gellersen. "There is more to context than location."

Computers & Graphics 23.6 (1999): 893-901.

Page 8: Research in the Age of the Context Machine

FAST FORWARD ▶▶

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Location Weather POIs Things & people in the vicinity !

Social Friends Family Communication !

Personal Movement & Sleep Schedule Interests !

!

!

!

Technical Connected devices Wireless environment

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FROM LOCATION BASED TO CONTEXT AWARE

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RESEARCH CHALLENGES

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CONTEXT REPRESENTATION AND INTEGRATION

I

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Location

SocialPersonal

Technical

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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

Page 18: Research in the Age of the Context Machine

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?

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CONTEXTUAL RELEVANCE MODELS

II

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ContextModel

Potential context information

Available context information

Relevant context information

constrained by available sensors, cost, technologicconstraints…

constrained by effect on task outcome

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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?

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PRIVACY AND AWARENESS

III

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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?

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THANK YOU!

Carsten Keßler

http://carsten.io [email protected] @carstenkessler