Human Computer Interaction Models for<br/>Interactive Exploration of Behavior Datasets

Objective

The objective of the proposed research is to develop models of human computer interaction for exploratory data analysis. The research will be focused on the information presentation part of the interaction, especially: (1) interactive exploration of behavior data sets about dynamic systems that include spatial and temporal references; (2) automatic generation of natural language presentations from these data sets (e.g. summaries, comparisons) that are coordinated with mixed media (e.g. charts, timelines, maps, animations, etc.); and (3) adaptation of the generation process to the user and the interaction history.

For this purpose, problem solving methods from the field of artificial intelligence will be used to support reasoning for abstraction, planning and configuration during the dialog process. Reusable knowledge sources will also be used in the form of available domain ontologies and knowledge extraction techniques from text and speech corpora in the development of specific components for dialog management and language generation, specifically freely available resources related to behavior data of dynamic systems (e.g. temporal knowledge, spatial knowledge, qualitative physical models, etc.).

The research will follow a methodology based on two loops of design-implementation-evaluation of experimental prototypes: the first loop will be carried out during the ongoing phase and the second during the return phase. The goals of the research project include the generation of the products during the two-year project. These products include: (a) two corpora for experimentation purposes for two different domains based on real world problems; (b) two software experimental implementations supported by algorithms corresponding to the inference procedures and reusable domain knowledge with its corresponding declarative representation; (c) the results of the evaluation on both domains.

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.

• natural sciences computer and information sciences artificial intelligence
• natural sciences computer and information sciences data science
• natural sciences computer and information sciences knowledge engineering ontology
• natural sciences computer and information sciences software
• agricultural sciences agricultural biotechnology

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

• FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

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.

• FP7-PEOPLE-2009-IOF - Marie Curie Action: "International Outgoing Fellowships for Career Development"

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

FP7-PEOPLE-2009-IOF
See other projects for this call

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.

MC-IOF - International Outgoing Fellowships (IOF)

Coordinator