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Persuasion and recommendation system applied to a cognitive assistant

  • COSTA, Angelo [1] ; HERAS, Stella [2] ; PALANCA, Javier [2] ; NOVAIS, Paulo [1] ; JULIÁN, Vicente [2]
    1. [1] Universidade do Minho

      Universidade do Minho

      Braga (São José de São Lázaro), Portugal

    2. [2] Universidad Politécnica de Valencia

      Universidad Politécnica de Valencia

      Valencia, España

  • Localización: ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, ISSN-e 2255-2863, Vol. 5, Nº. 2, 2016, págs. 89-99
  • Idioma: inglés
  • DOI: 10.14201/ADCAIJ2016528999
  • Enlaces
  • Resumen
    • In this paper, we present a persuasive recommendation module included in the iGenda framework. iGenda is a cognitive assistant that helps care-receivers and caregivers in the management of their activities of daily living, by resolving scheduling conflicts and promoting active aging activities. The proposed new module will allow the system to select and recommend to the users an event that potentially best suits to his/her interests (likes or medical condition). The multi-agent approach followed by the iGenda framework facilitates an easy integration of these new features. The social objective is to promote social activities and engaging the users in physical or psychological activities that improve their medical condition.

  • Referencias bibliográficas
    • Andrade, F., Neves, J., Novais, P., Machado, J., and Abelha, A., 2005. Legal Security and Credibility in Agent Based Virtual Enterprises....
    • Andrade, F., Novais, P., Machado, J., and Neves, J., 2007. Contracting agents: legal personality and representation. Artificial Intelligence...
    • Berkovsky, S., Kuflik, T., and Ricci, F., 2007. Mediation of user models for enhanced personalization in recommender systems. User Modeling...
    • Burke, R., 2002. Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction, 12(4):331–370. doi:10.1023/a:1021240730564.
    • Castillo, J. C., Carneiro, D., Serrano-Cuerda, J., Novais, P., Fernández-Caballero, A., and Neves, J., 2013. A multi-modal approach for activity...
    • Chesñevar, C., Maguitman, A. G., and González, M. P., 2009. Empowering Recommendation Technologies Through Argumentation. In Argumentation...
    • Costa, Â., Castillo, J. C., Novais, P., Fernández-Caballero, A., and Simoes, R., 2012. Sensor-driven agenda for intelligent home care of the...
    • Costa, A., Novais, P., Corchado, J. M., and Neves, J., 2011. Increased performance and better patient attendance in an hospital with the use...
    • Costa, A., Novais, P., and Simoes, R., 2014. A Caregiver Support Platform within the Scope of an Ambient Assisted Living Ecosystem. Sensors,...
    • Heras, S., Navarro, M., Botti, V., and Julián, V., 2010. Applying Dialogue Games to Manage Recommendation in Social Networks. In Lecture Notes...
    • Holzinger, A., Ziefle, M., and Röcker, C., 2010. Human-Computer Interaction and Usability Engineering for Elderly (HCI4AGING): Introduction...
    • Linden, G., Hong, J., Stonebraker, M., and Guzdial, M., 2009. Recommendation algorithms, online privacy, and more. Communications of the ACM,...
    • Lindley, S. and Wallace, J., 2015. Placing in Age. ACM Transactions on Computer-Human Interaction, 22(4):1– 39. doi:10.1145/2755562.
    • Pazzani, M. J. and Billsus, D., 2007. Content-Based Recommendation Systems. In The Adaptive Web, pages 325–341. Springer. doi:10.1007/978-3-540-72079-9_10....

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