Persuasion and Recommendation System Applied to a Cognitive Assistant
Abstract 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
- Cómo citar
- Del mismo autor
- Métricas
Andrade, F., Neves, J., Novais, P., Machado, J., and Abelha, A., 2005. Legal Security and Credibility in Agent Based Virtual Enterprises. In IFIP — The International Federation for Information Processing, pages 503–512. Springer. doi:10.1007/0-387-29360-4_53.
Andrade, F., Novais, P., Machado, J., and Neves, J., 2007. Contracting agents: legal personality and representation. Artificial Intelligence and Law, 15(4):357–373. doi:10.1007/s10506-007-9046-0.
Berkovsky, S., Kuflik, T., and Ricci, F., 2007. Mediation of user models for enhanced personalization in recommender systems. User Modeling and User-Adapted Interaction, 18(3):245–286. doi:10.1007/ s11257-007-9042-9.
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 classification and fall detection. International Journal of Systems Science, 45(4):810–824. doi:10.1080/00207721.2013.784372.
Chesñevar, C., Maguitman, A. G., and González, M. P., 2009. Empowering Recommendation Technologies Through Argumentation. In Argumentation in Artificial Intelligence, pages 403–422. Springer. doi:10. 1007/978-0-387-98197-0_20.
Costa, Â., Castillo, J. C., Novais, P., Fernández-Caballero, A., and Simoes, R., 2012. Sensor-driven agenda for intelligent home care of the elderly. Expert Systems with Applications, 39(15):12192–12204. doi: 10.1016/j.eswa.2012.04.058.
Costa, A., Novais, P., Corchado, J. M., and Neves, J., 2011. Increased performance and better patient attendance in an hospital with the use of smart agendas. Logic Journal of IGPL, 20(4):689–698. doi:10.1093/jigpal/ jzr021.
Costa, A., Novais, P., and Simoes, R., 2014. A Caregiver Support Platform within the Scope of an Ambient Assisted Living Ecosystem. Sensors, 14(3):5654–5676. doi:10.3390/s140305654. Heras, S., Botti, V., and Julián, V., 2012. Argument-based agreements in agent societies. Neurocomputing, 75(1):156–162. doi:10.1016/j.neucom.2011.02.022.
Heras, S., Navarro, M., Botti, V., and Julián, V., 2010. Applying Dialogue Games to Manage Recommendation in Social Networks. In Lecture Notes in Computer Science, pages 256–272. Springer. doi:10.1007/ 978-3-642-12805-9_15.
Holzinger, A., Ziefle, M., and Röcker, C., 2010. Human-Computer Interaction and Usability Engineering for Elderly (HCI4AGING): Introduction to the Special Thematic Session. In Lecture Notes in Computer Science, pages 556–559. Springer. doi:10.1007/978-3-642-14100-3_83.
Linden, G., Hong, J., Stonebraker, M., and Guzdial, M., 2009. Recommendation algorithms, online privacy, and more. Communications of the ACM, 52(5):10. doi:10.1145/1506409.1506434.
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. Schafer, J. B., Frankowski, D., Herlocker, J., and Sen, S., 2007. Collaborative Filtering Recommender Systems. In The Adaptive Web, pages 291–324. Springer. doi:10.1007/978-3-540-72079-9_9.
Andrade, F., Novais, P., Machado, J., and Neves, J., 2007. Contracting agents: legal personality and representation. Artificial Intelligence and Law, 15(4):357–373. doi:10.1007/s10506-007-9046-0.
Berkovsky, S., Kuflik, T., and Ricci, F., 2007. Mediation of user models for enhanced personalization in recommender systems. User Modeling and User-Adapted Interaction, 18(3):245–286. doi:10.1007/ s11257-007-9042-9.
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 classification and fall detection. International Journal of Systems Science, 45(4):810–824. doi:10.1080/00207721.2013.784372.
Chesñevar, C., Maguitman, A. G., and González, M. P., 2009. Empowering Recommendation Technologies Through Argumentation. In Argumentation in Artificial Intelligence, pages 403–422. Springer. doi:10. 1007/978-0-387-98197-0_20.
Costa, Â., Castillo, J. C., Novais, P., Fernández-Caballero, A., and Simoes, R., 2012. Sensor-driven agenda for intelligent home care of the elderly. Expert Systems with Applications, 39(15):12192–12204. doi: 10.1016/j.eswa.2012.04.058.
Costa, A., Novais, P., Corchado, J. M., and Neves, J., 2011. Increased performance and better patient attendance in an hospital with the use of smart agendas. Logic Journal of IGPL, 20(4):689–698. doi:10.1093/jigpal/ jzr021.
Costa, A., Novais, P., and Simoes, R., 2014. A Caregiver Support Platform within the Scope of an Ambient Assisted Living Ecosystem. Sensors, 14(3):5654–5676. doi:10.3390/s140305654. Heras, S., Botti, V., and Julián, V., 2012. Argument-based agreements in agent societies. Neurocomputing, 75(1):156–162. doi:10.1016/j.neucom.2011.02.022.
Heras, S., Navarro, M., Botti, V., and Julián, V., 2010. Applying Dialogue Games to Manage Recommendation in Social Networks. In Lecture Notes in Computer Science, pages 256–272. Springer. doi:10.1007/ 978-3-642-12805-9_15.
Holzinger, A., Ziefle, M., and Röcker, C., 2010. Human-Computer Interaction and Usability Engineering for Elderly (HCI4AGING): Introduction to the Special Thematic Session. In Lecture Notes in Computer Science, pages 556–559. Springer. doi:10.1007/978-3-642-14100-3_83.
Linden, G., Hong, J., Stonebraker, M., and Guzdial, M., 2009. Recommendation algorithms, online privacy, and more. Communications of the ACM, 52(5):10. doi:10.1145/1506409.1506434.
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. Schafer, J. B., Frankowski, D., Herlocker, J., and Sen, S., 2007. Collaborative Filtering Recommender Systems. In The Adaptive Web, pages 291–324. Springer. doi:10.1007/978-3-540-72079-9_9.
Costa, A., Heras, S., Palanca, J., Novais, P., & Julián, V. (2016). Persuasion and Recommendation System Applied to a Cognitive Assistant. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 5(2), 89–99. https://doi.org/10.14201/ADCAIJ2016528999
Most read articles by the same author(s)
- Cristian Peñaranda, Jorge Aguero, Carlos Carrascosa, Miguel Rebollo, Vicente Julián, An Agent-Based Approach for a Smart Transport System , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 5 No. 2 (2016)
- Tiago Oliveira, José Neves, Paulo Novais, Guideline Formalization and Knowledge Representation for Clinical Decision Support , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 1 No. 2 (2012)
- Ana Silva, Tiago Oliveira, José Neves, Paulo Novais, Treating Colon Cancer Survivability Prediction as a Classification Problem , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 5 No. 1 (2016)
- Jaime Rincón, Jose Luis Poza, Juan Luis Posadas, Vicente Julián, Carlos Carrascosa, Adding real data to detect emotions by means of smart resource artifacts in MAS , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 5 No. 4 (2016)
- Davide Carneiro, Daniel Araújo, André Pimenta, Paulo Novais, Real Time Analytics for Characterizing the Computer User's State , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 5 No. 4 (2016)
- José Alemany, Stella Heras, Javier Palanca, Vicente Julián, Bargaining agents based system for automatic classification of potential allergens in recipes , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 5 No. 2 (2016)
- Vicente Julián, Martí Navarro, Vicente Botti, Stella Heras, Towards Real-Time Argumentation , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 4 No. 4 (2015)
- Jorge Agüero, Miguel Rebollo, Carlos Carrascosa, Vicente Julián, MDD-Approach for developing Pervasive Systems based on Service-Oriented Multi-Agent Systems , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 2 No. 3 (2013)
- Pasqual Martí, Alejandro Ibáñez, Vicente Julian, Paulo Novais, Jaume Jordán, Bus Ridership Prediction and Scenario Analysis through ML and Multi-Agent Simulations , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 13 (2024)
- Pasqual Martí, Jaume Jordán, Bogdan Okreša Ðurić, Vicente Julian, Markus Schatten, Integrating Gamification with Demand-Responsive Transportation: An Approach to User-Driven Optimisation , ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal: Vol. 14 (2025)
Downloads
Download data is not yet available.
+
−