Towards a framework for adaptive constraint propagation

Broderick Crawford, Ricardo Soto, Franklin Johnson, Eric Monfroy, Enrique Norero, Eduardo Olguín

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


In this paper we address a recent situation created by the explosive growth of web systems. For these reason we propose a framework to support adaptive elements in Web pages. Web pages can be accessed by different platforms with different browsers and through different devices such as laptops, tablets or cellphones. In particular we focus on adaptive menus for this different kind of devices or browsers to optimize the selection patterns and their implementations. We propose a framework using an Adaptive Constraint Programming technique to optimize the decision of developers. Constraint Programming is a programming paradigm able to find efficient resolution in optimization problems. In Constraint Programming a problem is defined in term of variables and constraints. The variables hold a domain and represent the unknowns of the problem, while the relations among them are modeled as constraints.

Original languageEnglish
Title of host publicationHCI International 2015 – Posters Extended Abstracts - International Conference, HCI International 2015, Proceedings
EditorsConstantine Stephanidis
PublisherSpringer Verlag
Number of pages4
ISBN (Print)9783319213798
StatePublished - 2015
Event17th International Conference on Human Computer Interaction, HCI 2015 - Los Angeles, United States
Duration: 2 Aug 20157 Aug 2015

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929


Conference17th International Conference on Human Computer Interaction, HCI 2015
Country/TerritoryUnited States
CityLos Angeles


  • Autonomous search
  • Constraint programming
  • Web system


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