Research in the Age of the Context Machine
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This document discusses research challenges in context-aware systems as context becomes more integrated into technology. It outlines the evolution from early location-based systems to modern context-aware systems that consider location as well as other contextual factors like weather, points of interest, connected devices, social relationships, schedules and interests. Three key research challenges are presented: 1) effective representation and integration of different types of context data, 2) determining what context is relevant for a given task and how this may differ between users, and 3) ensuring user privacy and control over what context data is shared while still enabling useful services.
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Research in the Age of the Context Machine
- 1. 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
- 3. 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 “
- 4. OUTLINE • Evolution of context-aware systems • From location-based to context aware systems • 3 research challenges for GIScience
- 5. BACK IN THE DAYS
- 7. Schmidt, Albrecht, Michael Beigl, and Hans-W. Gellersen. "There is more to context than location." Computers & Graphics 23.6 (1999): 893-901.
- 9. Location Weather POIs Things & people in the vicinity ! Social Friends Family Communication ! Personal Movement & Sleep Schedule Interests ! ! ! ! Technical Connected devices Wireless environment
- 11. FROM LOCATION BASED TO CONTEXT AWARE
- 15. I CONTEXT REPRESENTATION AND INTEGRATION
- 16. Location ★ ★ Personal Social Technical
- 17. 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
- 18. 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?
- 19. II CONTEXTUAL RELEVANCE MODELS
- 20. Context Model Potential context information constrained by available sensors, cost, technologic constraints… Available context information constrained by effect on task outcome Relevant context information
- 21. 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?
- 22. III PRIVACY AND AWARENESS
- 24. 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?
- 26. THANK YOU! Carsten Keßler http://carsten.io carsten.kessler@hunter.cuny.edu @carstenkessler