Logo_Icesi

Filtros

20142
Restablecer filtros

Ajustes

Autor: Castañeda, LorenaTema: Interacción hombre-computador

Resultados de la búsqueda

Mostrando 1 - 2 de 2
  • Miniatura
    Ítem
    Exploiting social context in personalized web-tasking applications
    (IBM Corp., 2014-11-03) Villegas Machado, Norha Milena
    Personalized Web-Tasking (PWT) systems automate ordinary and repetitive web interactions while exploiting personal context to deliver personalized features. Among the personal context of a user, social context is all information obtained from the relationships with other users, which is relevant to the user's personalized web-tasks. Current approaches exploit the information of social media, or the explicit input of the user, and use it as is. In addition to this, PWT systems also benefit by inferring social relationships through reasoning over such information and other sources of context. For example, a calendar application might record events the user shares with other people, or the sensors on mobile devices can be used to identify others nearby. This information can be exploited to improve the execution of PWT applications including its personalization and context-adaptive capabilities.
  • Miniatura
    Ítem
    Personalized Web-Tasking Applications: An Online Grocery Shopping Prototype
    (IEEE, 2014-06-27) Muller, Hausi A.
    Users utilize web applications to perform everyday tasks in order to achieve personal goals. Personalized Web-Tasking (PWT) is the automation of such web interactions while exploiting personal context to enrich users experience. However, web-tasking is affected by unpredictable context behaviour -- environment, user, and infrastructure -- and situational changes. Given that current web systems are challenged to respond effectively to such changes, we proposed to design PWT applications as self-adaptive software systems that exploit personal context to deliver user-centric functionalities. This paper presents our first approach implementing PWT applications using a grocery shopping web-tasking scenario. Our prototype PWT system transforms web-tasking knowledge information (i.e., user's web interactions) into RDF graphs (i.e., runtime models that contain the user's web-tasking). We conclude our paper with a discussion about our results and implementation challenges.