Objective
VIP-Advisor will allow for new methods of enhanced electronic financial services through natural language, speech and 3D avatar technologies, combined with intelligent and information retrieval components. The VIP-Advisor project aims to bring virtual assistants, specialised in risk management in the insurance and finance field, into new dimensions of usability and intelligence. The bringing together of different advanced technologies in a new way will make such an advisor much more "life-like" than existing solutions. The special focus on speech recognition and advanced 3D avatar visualisation will be an ideal base for later developments on new upcoming 3G mobile devices.
Objectives:
The main idea is to develop a virtual personal insurance and finance assistant with new means of interaction. This personal assistant will be specialized in risk management counselling for small and medium enterprises but could be extended towards general insurance counselling for private persons. The virtual advisor shows up and behaves almost like a "real" serious insurance consultant and takes the so-called 0-level support into new dimensions. It enhances the user's online information retrieval experience by an entertaining but competent and serious service.
The VIP Advisor will be:
- Individual and personal through an intelligent virtual assistant which automatically adopts to the user's needs;
- Competent through the knowledge based virtual assistant with additional case based reasoning and information retrieval support;
- Human-like through the use of a 3D video-like realistic avatar;
- Reactive and easy to use through the use of natural language processing and speech recognition technologies;
- Multilingual through the use of online translation systems;
- Multichannel capable perfectly fits even to 3G mobile devices at a later stage.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science natural language processing
- social sciences sociology governance crisis management
You need to log in or register to use this function
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Data not available
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
10564 ATHENS
Greece
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.