MARA
MARA

MARA
MARA
 : 
Desarrollo de mecanismos avanzados de interacción humano-máquina en el contexto de recomendadores argumentativos
Desarrollo de mecanismos avanzados de interacción humano-máquina en el contexto de recomendadores argumentativos

A Project coordinated by IIIA.

Web page:

Principal investigator: 

Collaborating organisations:

Funding entity:

CSIC
CSIC

Funding call:

Funding call URL:

Project #:

202050E132
202050E132

Funding amount:

25.000,00€
25.000,00€

Duration:

01/Jul/2020
01/Jul/2020
30/Jun/2023
30/Jun/2023

Extension date:

The project aims to study different mechanisms that allow advanced interaction between humans and a recommendation system with argumentative capacity. This project is the continuation of various projects carried out in recent years at the IIIA, where we have developed a multi-recommender system with argumentative capacity. We have already applied this multi-recommender system in two different domains: shopping in large stores (SmartExFood project IPT-2012-0688-060000) and the generation of personalised trips (AS4OTA project Ref-20174622).

The project has two main objectives:
1 - Improve the existing multi-recommender system, precisely its argumentative capacity. We plan to expand the logical inference system that is currently used, allowing, on the one hand, to increase the complexity of the explanations and on the other to improve the possibilities of dialogue between the multi-recommender and the user.
2 - Study and design innovative mechanisms to communicate to the user the explanations generated by the multi-recommender. Here we want to explore forms of communication that are not limited to just a text on a screen. Specifically, we will explore the possibility of incorporating innovative technologies such as virtual reality and augmented reality and new forms of interaction based on intelligent interfaces.

The project aims to study different mechanisms that allow advanced interaction between humans and a recommendation system with argumentative capacity. This project is the continuation of various projects carried out in recent years at the IIIA, where we have developed a multi-recommender system with argumentative capacity. We have already applied this multi-recommender system in two different domains: shopping in large stores (SmartExFood project IPT-2012-0688-060000) and the generation of personalised trips (AS4OTA project Ref-20174622).

The project has two main objectives:
1 - Improve the existing multi-recommender system, precisely its argumentative capacity. We plan to expand the logical inference system that is currently used, allowing, on the one hand, to increase the complexity of the explanations and on the other to improve the possibilities of dialogue between the multi-recommender and the user.
2 - Study and design innovative mechanisms to communicate to the user the explanations generated by the multi-recommender. Here we want to explore forms of communication that are not limited to just a text on a screen. Specifically, we will explore the possibility of incorporating innovative technologies such as virtual reality and augmented reality and new forms of interaction based on intelligent interfaces.

No publications uploaded yet
Jordi Sabater-Mir
Tenured Scientist
Phone Ext. 261